id	sid	tid	token	lemma	pos
ejpam-2620	1	1	compile	compile	VERB
ejpam-2620	1	2	/	/	SYM
ejpam-2620	1	3	output.dvi	output.dvi	NOUN
ejpam-2620	1	4	case	case	NOUN
ejpam-2620	1	5	study	study	NOUN
ejpam-2620	1	6	application	application	NOUN
ejpam-2620	1	7	for	for	ADP
ejpam-2620	1	8	c	c	NOUN
ejpam-2620	1	9	-	-	PUNCT
ejpam-2620	1	10	support	support	NOUN
ejpam-2620	1	11	vector	vector	NOUN
ejpam-2620	1	12	classification	classification	NOUN
ejpam-2620	1	13	:	:	PUNCT
ejpam-2620	1	14	the	the	DET
ejpam-2620	1	15	estimation	estimation	NOUN
ejpam-2620	1	16	of	of	ADP
ejpam-2620	1	17	ms	ms	PROPN
ejpam-2620	1	18	subgroup	subgroup	PROPN
ejpam-2620	1	19	classification	classification	NOUN
ejpam-2620	1	20	with	with	ADP
ejpam-2620	1	21	selected	select	VERB
ejpam-2620	1	22	kernels	kernel	NOUN
ejpam-2620	1	23	and	and	CCONJ
ejpam-2620	1	24	parameters	parameter	NOUN
ejpam-2620	1	25	yeliz	yeliz	PROPN
ejpam-2620	1	26	karaca1,∗	karaca1,∗	PROPN
ejpam-2620	1	27	,	,	PUNCT
ejpam-2620	1	28	şengül	şengül	VERB
ejpam-2620	1	29	hayta2	hayta2	PROPN
ejpam-2620	1	30	,	,	PUNCT
ejpam-2620	1	31	rana	rana	PROPN
ejpam-2620	1	32	karabudak3	karabudak3	PROPN
ejpam-2620	1	33	1	1	NUM
ejpam-2620	1	34	department	department	NOUN
ejpam-2620	1	35	of	of	ADP
ejpam-2620	1	36	economics	economic	NOUN
ejpam-2620	1	37	,	,	PUNCT
ejpam-2620	1	38	faculty	faculty	NOUN
ejpam-2620	1	39	of	of	ADP
ejpam-2620	1	40	management	management	NOUN
ejpam-2620	1	41	and	and	CCONJ
ejpam-2620	1	42	administrative	administrative	ADJ
ejpam-2620	1	43	sciences	science	NOUN
ejpam-2620	1	44	,	,	PUNCT
ejpam-2620	1	45	süleyman	süleyman	ADJ
ejpam-2620	1	46	şah	şah	ADJ
ejpam-2620	1	47	university	university	PROPN
ejpam-2620	1	48	,	,	PUNCT
ejpam-2620	1	49	istanbul	istanbul	PROPN
ejpam-2620	1	50	,	,	PUNCT
ejpam-2620	1	51	turkey	turkey	PROPN
ejpam-2620	1	52	2	2	NUM
ejpam-2620	1	53	department	department	NOUN
ejpam-2620	1	54	of	of	ADP
ejpam-2620	1	55	computer	computer	NOUN
ejpam-2620	1	56	engineering	engineering	NOUN
ejpam-2620	1	57	,	,	PUNCT
ejpam-2620	1	58	faculty	faculty	NOUN
ejpam-2620	1	59	of	of	ADP
ejpam-2620	1	60	engineering	engineering	PROPN
ejpam-2620	1	61	,	,	PUNCT
ejpam-2620	1	62	haliç	haliç	PROPN
ejpam-2620	1	63	university	university	PROPN
ejpam-2620	1	64	,	,	PUNCT
ejpam-2620	1	65	istanbul	istanbul	PROPN
ejpam-2620	1	66	,	,	PUNCT
ejpam-2620	1	67	turkey	turkey	PROPN
ejpam-2620	1	68	3	3	NUM
ejpam-2620	1	69	department	department	PROPN
ejpam-2620	1	70	of	of	ADP
ejpam-2620	1	71	neurology	neurology	NOUN
ejpam-2620	1	72	,	,	PUNCT
ejpam-2620	1	73	faculty	faculty	NOUN
ejpam-2620	1	74	of	of	ADP
ejpam-2620	1	75	medicine	medicine	NOUN
ejpam-2620	1	76	,	,	PUNCT
ejpam-2620	1	77	hacettepe	hacettepe	PROPN
ejpam-2620	1	78	university	university	NOUN
ejpam-2620	1	79	,	,	PUNCT
ejpam-2620	1	80	ankara	ankara	PROPN
ejpam-2620	1	81	,	,	PUNCT
ejpam-2620	1	82	turkey	turkey	PROPN
ejpam-2620	1	83	abstract	abstract	NOUN
ejpam-2620	1	84	.	.	PUNCT
ejpam-2620	2	1	the	the	DET
ejpam-2620	2	2	study	study	NOUN
ejpam-2620	2	3	has	have	AUX
ejpam-2620	2	4	classified	classify	VERB
ejpam-2620	2	5	the	the	DET
ejpam-2620	2	6	subgroups	subgroup	NOUN
ejpam-2620	2	7	of	of	ADP
ejpam-2620	2	8	multiple	multiple	ADJ
ejpam-2620	2	9	sclerosis	sclerosis	NOUN
ejpam-2620	2	10	(	(	PUNCT
ejpam-2620	2	11	ms	ms	NOUN
ejpam-2620	2	12	)	)	PUNCT
ejpam-2620	2	13	using	use	VERB
ejpam-2620	2	14	support	support	NOUN
ejpam-2620	2	15	vector	vector	NOUN
ejpam-2620	2	16	machines	machine	NOUN
ejpam-2620	2	17	(	(	PUNCT
ejpam-2620	2	18	svm	svm	PROPN
ejpam-2620	2	19	)	)	PUNCT
ejpam-2620	2	20	.	.	PUNCT
ejpam-2620	3	1	csupport	csupport	NOUN
ejpam-2620	3	2	vector	vector	NOUN
ejpam-2620	3	3	classifier	classifier	NOUN
ejpam-2620	3	4	(	(	PUNCT
ejpam-2620	3	5	c	c	NOUN
ejpam-2620	3	6	-	-	PUNCT
ejpam-2620	3	7	svc	svc	NOUN
ejpam-2620	3	8	)	)	PUNCT
ejpam-2620	3	9	algorithm	algorithm	NOUN
ejpam-2620	3	10	,	,	PUNCT
ejpam-2620	3	11	one	one	NUM
ejpam-2620	3	12	of	of	ADP
ejpam-2620	3	13	the	the	DET
ejpam-2620	3	14	svm	svm	ADJ
ejpam-2620	3	15	classifiers	classifier	NOUN
ejpam-2620	3	16	of	of	ADP
ejpam-2620	3	17	multi	multi	ADJ
ejpam-2620	3	18	class	class	NOUN
ejpam-2620	3	19	,	,	PUNCT
ejpam-2620	3	20	has	have	AUX
ejpam-2620	3	21	been	be	AUX
ejpam-2620	3	22	utilized	utilize	VERB
ejpam-2620	3	23	for	for	ADP
ejpam-2620	3	24	the	the	DET
ejpam-2620	3	25	classification	classification	NOUN
ejpam-2620	3	26	of	of	ADP
ejpam-2620	3	27	ms	ms	PROPN
ejpam-2620	3	28	subgroups	subgroup	NOUN
ejpam-2620	3	29	.	.	PUNCT
ejpam-2620	4	1	for	for	ADP
ejpam-2620	4	2	this	this	DET
ejpam-2620	4	3	purpose	purpose	NOUN
ejpam-2620	4	4	,	,	PUNCT
ejpam-2620	4	5	120	120	NUM
ejpam-2620	4	6	ms	ms	ADJ
ejpam-2620	4	7	patients	patient	NOUN
ejpam-2620	4	8	(	(	PUNCT
ejpam-2620	4	9	76	76	NUM
ejpam-2620	4	10	rrms	rrm	NOUN
ejpam-2620	4	11	,	,	PUNCT
ejpam-2620	4	12	38	38	NUM
ejpam-2620	4	13	spms	spm	NOUN
ejpam-2620	4	14	,	,	PUNCT
ejpam-2620	4	15	6	6	NUM
ejpam-2620	4	16	ppms	ppm	NOUN
ejpam-2620	4	17	patients	patient	NOUN
ejpam-2620	4	18	)	)	PUNCT
ejpam-2620	4	19	have	have	AUX
ejpam-2620	4	20	been	be	AUX
ejpam-2620	4	21	included	include	VERB
ejpam-2620	4	22	in	in	ADP
ejpam-2620	4	23	the	the	DET
ejpam-2620	4	24	study	study	NOUN
ejpam-2620	4	25	.	.	PUNCT
ejpam-2620	5	1	through	through	ADP
ejpam-2620	5	2	magnetic	magnetic	ADJ
ejpam-2620	5	3	resonance	resonance	NOUN
ejpam-2620	5	4	imaging	imaging	NOUN
ejpam-2620	5	5	(	(	PUNCT
ejpam-2620	5	6	mri	mri	NOUN
ejpam-2620	5	7	)	)	PUNCT
ejpam-2620	5	8	,	,	PUNCT
ejpam-2620	5	9	the	the	DET
ejpam-2620	5	10	number	number	NOUN
ejpam-2620	5	11	of	of	ADP
ejpam-2620	5	12	lesion	lesion	NOUN
ejpam-2620	5	13	diameter	diameter	NOUN
ejpam-2620	5	14	and	and	CCONJ
ejpam-2620	5	15	expanded	expand	VERB
ejpam-2620	5	16	disability	disability	NOUN
ejpam-2620	5	17	status	status	NOUN
ejpam-2620	5	18	scale	scale	NOUN
ejpam-2620	5	19	(	(	PUNCT
ejpam-2620	5	20	edss	edss	ADV
ejpam-2620	5	21	)	)	PUNCT
ejpam-2620	5	22	data	datum	NOUN
ejpam-2620	5	23	are	be	AUX
ejpam-2620	5	24	applied	apply	VERB
ejpam-2620	5	25	through	through	ADP
ejpam-2620	5	26	c	c	PROPN
ejpam-2620	5	27	-	-	PUNCT
ejpam-2620	5	28	svc	svc	PROPN
ejpam-2620	5	29	.	.	PUNCT
ejpam-2620	6	1	lesion	lesion	NOUN
ejpam-2620	6	2	data	datum	NOUN
ejpam-2620	6	3	has	have	AUX
ejpam-2620	6	4	been	be	AUX
ejpam-2620	6	5	obtained	obtain	VERB
ejpam-2620	6	6	from	from	ADP
ejpam-2620	6	7	three	three	NUM
ejpam-2620	6	8	separate	separate	ADJ
ejpam-2620	6	9	regions	region	NOUN
ejpam-2620	6	10	of	of	ADP
ejpam-2620	6	11	the	the	DET
ejpam-2620	6	12	brain	brain	NOUN
ejpam-2620	6	13	which	which	PRON
ejpam-2620	6	14	are	be	AUX
ejpam-2620	6	15	brain	brain	NOUN
ejpam-2620	6	16	stem	stem	NOUN
ejpam-2620	6	17	,	,	PUNCT
ejpam-2620	6	18	periventricular	periventricular	ADJ
ejpam-2620	6	19	corpus	corpus	NOUN
ejpam-2620	6	20	callosum	callosum	NOUN
ejpam-2620	6	21	and	and	CCONJ
ejpam-2620	6	22	upper	upper	ADJ
ejpam-2620	6	23	cervical	cervical	ADJ
ejpam-2620	6	24	region	region	NOUN
ejpam-2620	6	25	.	.	PUNCT
ejpam-2620	7	1	by	by	ADP
ejpam-2620	7	2	applying	apply	VERB
ejpam-2620	7	3	the	the	DET
ejpam-2620	7	4	data	datum	NOUN
ejpam-2620	7	5	onto	onto	ADP
ejpam-2620	7	6	radial	radial	ADJ
ejpam-2620	7	7	basis	basis	NOUN
ejpam-2620	7	8	function	function	NOUN
ejpam-2620	7	9	kernel	kernel	NOUN
ejpam-2620	7	10	(	(	PUNCT
ejpam-2620	7	11	rbf	rbf	PROPN
ejpam-2620	7	12	)	)	PUNCT
ejpam-2620	7	13	,	,	PUNCT
ejpam-2620	7	14	polynomial	polynomial	ADJ
ejpam-2620	7	15	kernel	kernel	NOUN
ejpam-2620	7	16	,	,	PUNCT
ejpam-2620	7	17	sigmoid	sigmoid	NOUN
ejpam-2620	7	18	kernel	kernel	PROPN
ejpam-2620	7	19	and	and	CCONJ
ejpam-2620	7	20	linear	linear	PROPN
ejpam-2620	7	21	kernel	kernel	NOUN
ejpam-2620	7	22	,	,	PUNCT
ejpam-2620	7	23	four	four	NUM
ejpam-2620	7	24	of	of	ADP
ejpam-2620	7	25	the	the	DET
ejpam-2620	7	26	kernel	kernel	NOUN
ejpam-2620	7	27	types	type	NOUN
ejpam-2620	7	28	of	of	ADP
ejpam-2620	7	29	c	c	NOUN
ejpam-2620	7	30	-	-	PUNCT
ejpam-2620	7	31	svc	svc	NOUN
ejpam-2620	7	32	algorithm	algorithm	NOUN
ejpam-2620	7	33	,	,	PUNCT
ejpam-2620	7	34	the	the	DET
ejpam-2620	7	35	accuracy	accuracy	NOUN
ejpam-2620	7	36	rates	rate	NOUN
ejpam-2620	7	37	of	of	ADP
ejpam-2620	7	38	ms	ms	PROPN
ejpam-2620	7	39	subgroups	subgroup	NOUN
ejpam-2620	7	40	classification	classification	NOUN
ejpam-2620	7	41	and	and	CCONJ
ejpam-2620	7	42	the	the	DET
ejpam-2620	7	43	computation	computation	NOUN
ejpam-2620	7	44	time	time	NOUN
ejpam-2620	7	45	during	during	ADP
ejpam-2620	7	46	the	the	DET
ejpam-2620	7	47	training	training	NOUN
ejpam-2620	7	48	procedure	procedure	NOUN
ejpam-2620	7	49	are	be	AUX
ejpam-2620	7	50	computed	compute	VERB
ejpam-2620	7	51	and	and	CCONJ
ejpam-2620	7	52	compared	compare	VERB
ejpam-2620	7	53	.	.	PUNCT
ejpam-2620	8	1	by	by	ADP
ejpam-2620	8	2	adding	add	VERB
ejpam-2620	8	3	edss	edss	ADJ
ejpam-2620	8	4	score	score	NOUN
ejpam-2620	8	5	into	into	ADP
ejpam-2620	8	6	the	the	DET
ejpam-2620	8	7	dataset	dataset	NOUN
ejpam-2620	8	8	,	,	PUNCT
ejpam-2620	8	9	the	the	DET
ejpam-2620	8	10	classification	classification	NOUN
ejpam-2620	8	11	achievement	achievement	NOUN
ejpam-2620	8	12	rate	rate	NOUN
ejpam-2620	8	13	has	have	AUX
ejpam-2620	8	14	increased	increase	VERB
ejpam-2620	8	15	in	in	ADP
ejpam-2620	8	16	all	all	DET
ejpam-2620	8	17	the	the	DET
ejpam-2620	8	18	kernel	kernel	NOUN
ejpam-2620	8	19	types	type	NOUN
ejpam-2620	8	20	based	base	VERB
ejpam-2620	8	21	on	on	ADP
ejpam-2620	8	22	the	the	DET
ejpam-2620	8	23	analyses	analysis	NOUN
ejpam-2620	8	24	conducted	conduct	VERB
ejpam-2620	8	25	.	.	PUNCT
ejpam-2620	9	1	having	having	AUX
ejpam-2620	9	2	applied	apply	VERB
ejpam-2620	9	3	c	c	NOUN
ejpam-2620	9	4	-	-	PUNCT
ejpam-2620	9	5	svc	svc	NOUN
ejpam-2620	9	6	on	on	ADP
ejpam-2620	9	7	ms	ms	PROPN
ejpam-2620	9	8	subgroups	subgroup	NOUN
ejpam-2620	9	9	,	,	PUNCT
ejpam-2620	9	10	classification	classification	NOUN
ejpam-2620	9	11	achievement	achievement	NOUN
ejpam-2620	9	12	of	of	ADP
ejpam-2620	9	13	ms	ms	PROPN
ejpam-2620	9	14	subgroups	subgroup	NOUN
ejpam-2620	9	15	,	,	PUNCT
ejpam-2620	9	16	namely	namely	ADV
ejpam-2620	9	17	that	that	PRON
ejpam-2620	9	18	of	of	ADP
ejpam-2620	9	19	rrms	rrm	NOUN
ejpam-2620	9	20	,	,	PUNCT
ejpam-2620	9	21	spms	spm	NOUN
ejpam-2620	9	22	and	and	CCONJ
ejpam-2620	9	23	ppms	ppm	NOUN
ejpam-2620	9	24	has	have	AUX
ejpam-2620	9	25	been	be	AUX
ejpam-2620	9	26	measured	measure	VERB
ejpam-2620	9	27	.	.	PUNCT
ejpam-2620	10	1	2010	2010	NUM
ejpam-2620	10	2	mathematics	mathematic	NOUN
ejpam-2620	10	3	subject	subject	NOUN
ejpam-2620	10	4	classifications	classification	NOUN
ejpam-2620	10	5	:	:	PUNCT
ejpam-2620	10	6	62	62	NUM
ejpam-2620	10	7	-	-	SYM
ejpam-2620	10	8	07,92b05,62f07,90c99	07,92b05,62f07,90c99	NUM
ejpam-2620	10	9	key	key	ADJ
ejpam-2620	10	10	words	word	NOUN
ejpam-2620	10	11	and	and	CCONJ
ejpam-2620	10	12	phrases	phrase	NOUN
ejpam-2620	10	13	:	:	PUNCT
ejpam-2620	10	14	c	c	X
ejpam-2620	10	15	-	-	PUNCT
ejpam-2620	10	16	svc	svc	NOUN
ejpam-2620	10	17	kernels	kernel	NOUN
ejpam-2620	10	18	,	,	PUNCT
ejpam-2620	10	19	ms	ms	PROPN
ejpam-2620	10	20	subgroups	subgroup	NOUN
ejpam-2620	10	21	,	,	PUNCT
ejpam-2620	10	22	mri	mri	NOUN
ejpam-2620	10	23	,	,	PUNCT
ejpam-2620	10	24	edss	edss	ADV
ejpam-2620	10	25	,	,	PUNCT
ejpam-2620	10	26	classification	classification	NOUN
ejpam-2620	10	27	.	.	PUNCT
ejpam-2620	11	1	1	1	X
ejpam-2620	11	2	.	.	X
ejpam-2620	11	3	introduction	introduction	NOUN
ejpam-2620	11	4	multiple	multiple	ADJ
ejpam-2620	11	5	sclerosis	sclerosis	NOUN
ejpam-2620	11	6	(	(	PUNCT
ejpam-2620	11	7	ms	ms	NOUN
ejpam-2620	11	8	)	)	PUNCT
ejpam-2620	11	9	is	be	AUX
ejpam-2620	11	10	a	a	DET
ejpam-2620	11	11	disorder	disorder	NOUN
ejpam-2620	11	12	of	of	ADP
ejpam-2620	11	13	the	the	DET
ejpam-2620	11	14	central	central	ADJ
ejpam-2620	11	15	nervous	nervous	ADJ
ejpam-2620	11	16	system	system	NOUN
ejpam-2620	11	17	(	(	PUNCT
ejpam-2620	11	18	cns	cns	NOUN
ejpam-2620	11	19	)	)	PUNCT
ejpam-2620	11	20	that	that	PRON
ejpam-2620	11	21	affects	affect	VERB
ejpam-2620	11	22	the	the	DET
ejpam-2620	11	23	brain	brain	NOUN
ejpam-2620	11	24	and	and	CCONJ
ejpam-2620	11	25	spinal	spinal	ADJ
ejpam-2620	11	26	cord	cord	NOUN
ejpam-2620	11	27	and	and	CCONJ
ejpam-2620	11	28	is	be	AUX
ejpam-2620	11	29	accompanied	accompany	VERB
ejpam-2620	11	30	by	by	ADP
ejpam-2620	11	31	inflammatory	inflammatory	ADJ
ejpam-2620	11	32	,	,	PUNCT
ejpam-2620	11	33	demyelinating	demyelinating	ADJ
ejpam-2620	11	34	and	and	CCONJ
ejpam-2620	11	35	axonal	axonal	ADJ
ejpam-2620	11	36	damage	damage	NOUN
ejpam-2620	11	37	.	.	PUNCT
ejpam-2620	12	1	cns	cns	NOUN
ejpam-2620	12	2	transmits	transmit	VERB
ejpam-2620	12	3	electrical	electrical	ADJ
ejpam-2620	12	4	messages	message	NOUN
ejpam-2620	12	5	in	in	ADP
ejpam-2620	12	6	different	different	ADJ
ejpam-2620	12	7	parts	part	NOUN
ejpam-2620	12	8	of	of	ADP
ejpam-2620	12	9	our	our	PRON
ejpam-2620	12	10	body	body	NOUN
ejpam-2620	12	11	along	along	ADP
ejpam-2620	12	12	the	the	DET
ejpam-2620	12	13	nerves	nerve	NOUN
ejpam-2620	12	14	.	.	PUNCT
ejpam-2620	13	1	such	such	ADJ
ejpam-2620	13	2	messages	message	NOUN
ejpam-2620	13	3	have	have	VERB
ejpam-2620	13	4	control	control	NOUN
ejpam-2620	13	5	over	over	ADP
ejpam-2620	13	6	all	all	PRON
ejpam-2620	13	7	of	of	ADP
ejpam-2620	13	8	our	our	PRON
ejpam-2620	13	9	movements	movement	NOUN
ejpam-2620	13	10	,	,	PUNCT
ejpam-2620	13	11	both	both	CCONJ
ejpam-2620	13	12	voluntary	voluntary	ADJ
ejpam-2620	13	13	and	and	CCONJ
ejpam-2620	13	14	involuntary	involuntary	ADJ
ejpam-2620	13	15	.	.	PUNCT
ejpam-2620	14	1	ms	ms	PROPN
ejpam-2620	14	2	∗corresponding	∗corresponde	VERB
ejpam-2620	14	3	author	author	NOUN
ejpam-2620	14	4	.	.	PUNCT
ejpam-2620	15	1	email	email	NOUN
ejpam-2620	15	2	addresses	address	NOUN
ejpam-2620	15	3	:	:	PUNCT
ejpam-2620	15	4	ykaraca@ssu.edu.tr	ykaraca@ssu.edu.tr	PROPN
ejpam-2620	15	5	(	(	PUNCT
ejpam-2620	15	6	y.	y.	PROPN
ejpam-2620	15	7	karaca	karaca	PROPN
ejpam-2620	15	8	)	)	PUNCT
ejpam-2620	15	9	,	,	PUNCT
ejpam-2620	15	10	sengulbayrak@halic.edu.tr	sengulbayrak@halic.edu.tr	X
ejpam-2620	15	11	(	(	PUNCT
ejpam-2620	15	12	ş.	ş.	PROPN
ejpam-2620	15	13	hayta	hayta	ADJ
ejpam-2620	15	14	)	)	PUNCT
ejpam-2620	15	15	,	,	PUNCT
ejpam-2620	15	16	rkbudak@hacettepe.edu.tr	rkbudak@hacettepe.edu.tr	NOUN
ejpam-2620	15	17	(	(	PUNCT
ejpam-2620	15	18	r.	r.	PROPN
ejpam-2620	15	19	karabudak	karabudak	PROPN
ejpam-2620	15	20	)	)	PUNCT
ejpam-2620	15	21	http://www.ejpam.com	http://www.ejpam.com	X
ejpam-2620	16	1	196	196	NUM
ejpam-2620	16	2	c	c	X
ejpam-2620	16	3	©	©	PROPN
ejpam-2620	16	4	2016	2016	NUM
ejpam-2620	16	5	ejpam	ejpam	VERB
ejpam-2620	16	6	all	all	DET
ejpam-2620	16	7	rights	right	NOUN
ejpam-2620	16	8	reserved	reserve	VERB
ejpam-2620	16	9	.	.	PUNCT
ejpam-2620	17	1	european	european	ADJ
ejpam-2620	17	2	journal	journal	PROPN
ejpam-2620	17	3	of	of	ADP
ejpam-2620	17	4	pure	pure	ADJ
ejpam-2620	17	5	and	and	CCONJ
ejpam-2620	17	6	applied	apply	VERB
ejpam-2620	17	7	mathematics	mathematic	NOUN
ejpam-2620	17	8	vol	vol	NOUN
ejpam-2620	17	9	.	.	PROPN
ejpam-2620	18	1	9	9	NUM
ejpam-2620	18	2	,	,	PUNCT
ejpam-2620	18	3	no	no	INTJ
ejpam-2620	18	4	.	.	NOUN
ejpam-2620	18	5	2	2	NUM
ejpam-2620	18	6	,	,	PUNCT
ejpam-2620	18	7	2016	2016	NUM
ejpam-2620	18	8	,	,	PUNCT
ejpam-2620	18	9	196	196	NUM
ejpam-2620	18	10	-	-	SYM
ejpam-2620	18	11	215	215	NUM
ejpam-2620	18	12	issn	issn	PROPN
ejpam-2620	18	13	1307	1307	NUM
ejpam-2620	18	14	-	-	SYM
ejpam-2620	18	15	5543	5543	NUM
ejpam-2620	18	16	–	–	PUNCT
ejpam-2620	18	17	www.ejpam.com	www.ejpam.com	X
ejpam-2620	18	18	y.	y.	PROPN
ejpam-2620	18	19	karaca	karaca	PROPN
ejpam-2620	18	20	,	,	PUNCT
ejpam-2620	18	21	ş.	ş.	PROPN
ejpam-2620	18	22	hayta	hayta	PROPN
ejpam-2620	18	23	,	,	PUNCT
ejpam-2620	18	24	r.	r.	PROPN
ejpam-2620	18	25	karabudak	karabudak	PROPN
ejpam-2620	18	26	/	/	SYM
ejpam-2620	18	27	eur	eur	PROPN
ejpam-2620	18	28	.	.	PUNCT
ejpam-2620	19	1	j.	j.	PROPN
ejpam-2620	19	2	pure	pure	PROPN
ejpam-2620	19	3	appl	appl	PROPN
ejpam-2620	19	4	.	.	PROPN
ejpam-2620	19	5	math	math	PROPN
ejpam-2620	19	6	,	,	PUNCT
ejpam-2620	19	7	9	9	NUM
ejpam-2620	19	8	(	(	PUNCT
ejpam-2620	19	9	2016	2016	NUM
ejpam-2620	19	10	)	)	PUNCT
ejpam-2620	19	11	,	,	PUNCT
ejpam-2620	19	12	196	196	NUM
ejpam-2620	19	13	-	-	SYM
ejpam-2620	19	14	215	215	NUM
ejpam-2620	19	15	197	197	NUM
ejpam-2620	19	16	disorder	disorder	NOUN
ejpam-2620	19	17	,	,	PUNCT
ejpam-2620	19	18	however	however	ADV
ejpam-2620	19	19	,	,	PUNCT
ejpam-2620	19	20	disrupts	disrupt	VERB
ejpam-2620	19	21	the	the	DET
ejpam-2620	19	22	proper	proper	ADJ
ejpam-2620	19	23	transmission	transmission	NOUN
ejpam-2620	19	24	of	of	ADP
ejpam-2620	19	25	these	these	DET
ejpam-2620	19	26	messages	message	NOUN
ejpam-2620	19	27	.	.	PUNCT
ejpam-2620	20	1	the	the	DET
ejpam-2620	20	2	disorder	disorder	NOUN
ejpam-2620	20	3	causes	cause	VERB
ejpam-2620	20	4	neuronal	neuronal	ADJ
ejpam-2620	20	5	dysfunction	dysfunction	NOUN
ejpam-2620	20	6	,	,	PUNCT
ejpam-2620	20	7	bringing	bring	VERB
ejpam-2620	20	8	about	about	ADP
ejpam-2620	20	9	the	the	DET
ejpam-2620	20	10	likelihood	likelihood	NOUN
ejpam-2620	20	11	of	of	ADP
ejpam-2620	20	12	long	long	ADJ
ejpam-2620	20	13	-	-	PUNCT
ejpam-2620	20	14	term	term	NOUN
ejpam-2620	20	15	permanent	permanent	ADJ
ejpam-2620	20	16	damages	damage	NOUN
ejpam-2620	20	17	.	.	PUNCT
ejpam-2620	21	1	at	at	ADP
ejpam-2620	21	2	the	the	DET
ejpam-2620	21	3	initial	initial	ADJ
ejpam-2620	21	4	stage	stage	NOUN
ejpam-2620	21	5	,	,	PUNCT
ejpam-2620	21	6	a	a	DET
ejpam-2620	21	7	specific	specific	ADJ
ejpam-2620	21	8	reason	reason	NOUN
ejpam-2620	21	9	for	for	ADP
ejpam-2620	21	10	the	the	DET
ejpam-2620	21	11	disorder	disorder	NOUN
ejpam-2620	21	12	is	be	AUX
ejpam-2620	21	13	not	not	PART
ejpam-2620	21	14	known	know	VERB
ejpam-2620	21	15	,	,	PUNCT
ejpam-2620	21	16	thus	thus	ADV
ejpam-2620	21	17	it	it	PRON
ejpam-2620	21	18	could	could	AUX
ejpam-2620	21	19	be	be	AUX
ejpam-2620	21	20	improbable	improbable	ADJ
ejpam-2620	21	21	to	to	PART
ejpam-2620	21	22	prevent	prevent	VERB
ejpam-2620	21	23	and	and	CCONJ
ejpam-2620	21	24	treat	treat	VERB
ejpam-2620	21	25	the	the	DET
ejpam-2620	21	26	disorder	disorder	NOUN
ejpam-2620	21	27	.	.	PUNCT
ejpam-2620	22	1	in	in	ADP
ejpam-2620	22	2	our	our	PRON
ejpam-2620	22	3	day	day	NOUN
ejpam-2620	22	4	there	there	PRON
ejpam-2620	22	5	exist	exist	VERB
ejpam-2620	22	6	no	no	DET
ejpam-2620	22	7	treatments	treatment	NOUN
ejpam-2620	22	8	that	that	PRON
ejpam-2620	22	9	provide	provide	VERB
ejpam-2620	22	10	cure	cure	NOUN
ejpam-2620	22	11	for	for	ADP
ejpam-2620	22	12	ms	ms	PROPN
ejpam-2620	22	13	.	.	PROPN
ejpam-2620	22	14	yet	yet	ADV
ejpam-2620	22	15	,	,	PUNCT
ejpam-2620	22	16	in	in	ADP
ejpam-2620	22	17	the	the	DET
ejpam-2620	22	18	last	last	ADJ
ejpam-2620	22	19	two	two	NUM
ejpam-2620	22	20	decades	decade	NOUN
ejpam-2620	22	21	,	,	PUNCT
ejpam-2620	22	22	several	several	ADJ
ejpam-2620	22	23	treatments	treatment	NOUN
ejpam-2620	22	24	have	have	AUX
ejpam-2620	22	25	been	be	AUX
ejpam-2620	22	26	developed	develop	VERB
ejpam-2620	22	27	and	and	CCONJ
ejpam-2620	22	28	put	put	VERB
ejpam-2620	22	29	into	into	ADP
ejpam-2620	22	30	use	use	NOUN
ejpam-2620	22	31	,	,	PUNCT
ejpam-2620	22	32	which	which	PRON
ejpam-2620	22	33	reduce	reduce	VERB
ejpam-2620	22	34	frequency	frequency	NOUN
ejpam-2620	22	35	of	of	ADP
ejpam-2620	22	36	attacks	attack	NOUN
ejpam-2620	22	37	,	,	PUNCT
ejpam-2620	22	38	increase	increase	VERB
ejpam-2620	22	39	in	in	ADP
ejpam-2620	22	40	the	the	DET
ejpam-2620	22	41	number	number	NOUN
ejpam-2620	22	42	of	of	ADP
ejpam-2620	22	43	the	the	DET
ejpam-2620	22	44	plaques	plaque	NOUN
ejpam-2620	22	45	traced	trace	VERB
ejpam-2620	22	46	in	in	ADP
ejpam-2620	22	47	mri	mri	NOUN
ejpam-2620	22	48	and	and	CCONJ
ejpam-2620	22	49	permanent	permanent	ADJ
ejpam-2620	22	50	impairment	impairment	NOUN
ejpam-2620	22	51	in	in	ADP
ejpam-2620	22	52	the	the	DET
ejpam-2620	22	53	long	long	ADV
ejpam-2620	22	54	-	-	PUNCT
ejpam-2620	22	55	run	run	NOUN
ejpam-2620	22	56	[	[	X
ejpam-2620	22	57	22	22	NUM
ejpam-2620	22	58	]	]	PUNCT
ejpam-2620	22	59	.	.	PUNCT
ejpam-2620	23	1	ms	ms	PROPN
ejpam-2620	23	2	is	be	AUX
ejpam-2620	23	3	categorized	categorize	VERB
ejpam-2620	23	4	into	into	ADP
ejpam-2620	23	5	4	4	NUM
ejpam-2620	23	6	different	different	ADJ
ejpam-2620	23	7	clinical	clinical	ADJ
ejpam-2620	23	8	subtypes	subtype	NOUN
ejpam-2620	23	9	based	base	VERB
ejpam-2620	23	10	on	on	ADP
ejpam-2620	23	11	the	the	DET
ejpam-2620	23	12	attacks	attack	NOUN
ejpam-2620	23	13	and	and	CCONJ
ejpam-2620	23	14	existence	existence	NOUN
ejpam-2620	23	15	of	of	ADP
ejpam-2620	23	16	progression	progression	NOUN
ejpam-2620	23	17	.	.	PUNCT
ejpam-2620	24	1	the	the	DET
ejpam-2620	24	2	most	most	ADV
ejpam-2620	24	3	frequently	frequently	ADV
ejpam-2620	24	4	-	-	PUNCT
ejpam-2620	24	5	seen	see	VERB
ejpam-2620	24	6	one	one	NOUN
ejpam-2620	24	7	,	,	PUNCT
ejpam-2620	24	8	called	call	VERB
ejpam-2620	24	9	relapsing	relapse	VERB
ejpam-2620	24	10	remitting	remit	VERB
ejpam-2620	24	11	ms	ms	PROPN
ejpam-2620	24	12	(	(	PUNCT
ejpam-2620	24	13	rrms	rrm	NOUN
ejpam-2620	24	14	)	)	PUNCT
ejpam-2620	24	15	,	,	PUNCT
ejpam-2620	24	16	is	be	AUX
ejpam-2620	24	17	seen	see	VERB
ejpam-2620	24	18	in	in	ADP
ejpam-2620	24	19	70	70	NUM
ejpam-2620	24	20	%	%	NOUN
ejpam-2620	24	21	of	of	ADP
ejpam-2620	24	22	the	the	DET
ejpam-2620	24	23	patients	patient	NOUN
ejpam-2620	24	24	.	.	PUNCT
ejpam-2620	25	1	patients	patient	NOUN
ejpam-2620	25	2	experience	experience	VERB
ejpam-2620	25	3	neurological	neurological	ADJ
ejpam-2620	25	4	loss	loss	NOUN
ejpam-2620	25	5	during	during	ADP
ejpam-2620	25	6	the	the	DET
ejpam-2620	25	7	attacks	attack	NOUN
ejpam-2620	25	8	of	of	ADP
ejpam-2620	25	9	rrms	rrm	NOUN
ejpam-2620	25	10	based	base	VERB
ejpam-2620	25	11	on	on	ADP
ejpam-2620	25	12	the	the	DET
ejpam-2620	25	13	localization	localization	NOUN
ejpam-2620	25	14	of	of	ADP
ejpam-2620	25	15	the	the	DET
ejpam-2620	25	16	lesions	lesion	NOUN
ejpam-2620	25	17	.	.	PUNCT
ejpam-2620	26	1	after	after	SCONJ
ejpam-2620	26	2	the	the	DET
ejpam-2620	26	3	attack	attack	NOUN
ejpam-2620	26	4	is	be	AUX
ejpam-2620	26	5	over	over	ADV
ejpam-2620	26	6	,	,	PUNCT
ejpam-2620	26	7	the	the	DET
ejpam-2620	26	8	patients	patient	NOUN
ejpam-2620	26	9	go	go	VERB
ejpam-2620	26	10	through	through	ADP
ejpam-2620	26	11	the	the	DET
ejpam-2620	26	12	remission	remission	NOUN
ejpam-2620	26	13	phase	phase	NOUN
ejpam-2620	26	14	and	and	CCONJ
ejpam-2620	26	15	findings	finding	NOUN
ejpam-2620	26	16	followed	follow	VERB
ejpam-2620	26	17	during	during	ADP
ejpam-2620	26	18	the	the	DET
ejpam-2620	26	19	attack	attack	NOUN
ejpam-2620	26	20	period	period	NOUN
ejpam-2620	26	21	are	be	AUX
ejpam-2620	26	22	lost	lose	VERB
ejpam-2620	26	23	.	.	PUNCT
ejpam-2620	27	1	about	about	ADV
ejpam-2620	27	2	50	50	NUM
ejpam-2620	27	3	%	%	NOUN
ejpam-2620	27	4	of	of	ADP
ejpam-2620	27	5	the	the	DET
ejpam-2620	27	6	patients	patient	NOUN
ejpam-2620	27	7	of	of	ADP
ejpam-2620	27	8	rrms	rrm	NOUN
ejpam-2620	27	9	go	go	VERB
ejpam-2620	27	10	under	under	ADP
ejpam-2620	27	11	a	a	DET
ejpam-2620	27	12	progressive	progressive	ADJ
ejpam-2620	27	13	stage	stage	NOUN
ejpam-2620	27	14	in	in	ADP
ejpam-2620	27	15	which	which	PRON
ejpam-2620	27	16	the	the	DET
ejpam-2620	27	17	attacks	attack	NOUN
ejpam-2620	27	18	do	do	AUX
ejpam-2620	27	19	not	not	PART
ejpam-2620	27	20	have	have	VERB
ejpam-2620	27	21	remission	remission	NOUN
ejpam-2620	27	22	in	in	ADP
ejpam-2620	27	23	a	a	DET
ejpam-2620	27	24	period	period	NOUN
ejpam-2620	27	25	of	of	ADP
ejpam-2620	27	26	10	10	NUM
ejpam-2620	27	27	years	year	NOUN
ejpam-2620	27	28	.	.	PUNCT
ejpam-2620	28	1	this	this	DET
ejpam-2620	28	2	form	form	NOUN
ejpam-2620	28	3	is	be	AUX
ejpam-2620	28	4	called	call	VERB
ejpam-2620	28	5	secondary	secondary	ADJ
ejpam-2620	28	6	progressive	progressive	ADJ
ejpam-2620	28	7	ms	ms	PROPN
ejpam-2620	28	8	(	(	PUNCT
ejpam-2620	28	9	spms	spms	PROPN
ejpam-2620	28	10	)	)	PUNCT
ejpam-2620	28	11	.	.	PUNCT
ejpam-2620	29	1	the	the	DET
ejpam-2620	29	2	patients	patient	NOUN
ejpam-2620	29	3	afflicted	afflict	VERB
ejpam-2620	29	4	by	by	ADP
ejpam-2620	29	5	this	this	DET
ejpam-2620	29	6	form	form	NOUN
ejpam-2620	29	7	are	be	AUX
ejpam-2620	29	8	observed	observe	VERB
ejpam-2620	29	9	to	to	PART
ejpam-2620	29	10	have	have	AUX
ejpam-2620	29	11	accumulated	accumulate	VERB
ejpam-2620	29	12	neurological	neurological	ADJ
ejpam-2620	29	13	impairment	impairment	NOUN
ejpam-2620	29	14	over	over	ADP
ejpam-2620	29	15	the	the	DET
ejpam-2620	29	16	years	year	NOUN
ejpam-2620	29	17	.	.	PUNCT
ejpam-2620	30	1	in	in	ADP
ejpam-2620	30	2	some	some	DET
ejpam-2620	30	3	patients	patient	NOUN
ejpam-2620	30	4	,	,	PUNCT
ejpam-2620	30	5	attacks	attack	NOUN
ejpam-2620	30	6	and	and	CCONJ
ejpam-2620	30	7	progression	progression	NOUN
ejpam-2620	30	8	are	be	AUX
ejpam-2620	30	9	seen	see	VERB
ejpam-2620	30	10	in	in	ADP
ejpam-2620	30	11	the	the	DET
ejpam-2620	30	12	course	course	NOUN
ejpam-2620	30	13	starting	start	VERB
ejpam-2620	30	14	with	with	ADP
ejpam-2620	30	15	the	the	DET
ejpam-2620	30	16	beginning	begin	VERB
ejpam-2620	30	17	phase	phase	NOUN
ejpam-2620	30	18	of	of	ADP
ejpam-2620	30	19	the	the	DET
ejpam-2620	30	20	disorder	disorder	NOUN
ejpam-2620	30	21	.	.	PUNCT
ejpam-2620	31	1	this	this	PRON
ejpam-2620	31	2	is	be	AUX
ejpam-2620	31	3	a	a	DET
ejpam-2620	31	4	form	form	NOUN
ejpam-2620	31	5	called	call	VERB
ejpam-2620	31	6	relapsing	relapse	VERB
ejpam-2620	31	7	progressive	progressive	ADJ
ejpam-2620	31	8	ms	ms	PROPN
ejpam-2620	31	9	(	(	PUNCT
ejpam-2620	31	10	rpms	rpms	PROPN
ejpam-2620	31	11	)	)	PUNCT
ejpam-2620	31	12	in	in	ADP
ejpam-2620	31	13	which	which	PRON
ejpam-2620	31	14	the	the	DET
ejpam-2620	31	15	impairment	impairment	NOUN
ejpam-2620	31	16	gains	gain	VERB
ejpam-2620	31	17	a	a	DET
ejpam-2620	31	18	permanent	permanent	ADJ
ejpam-2620	31	19	state	state	NOUN
ejpam-2620	31	20	following	follow	VERB
ejpam-2620	31	21	each	each	DET
ejpam-2620	31	22	attack	attack	NOUN
ejpam-2620	31	23	,	,	PUNCT
ejpam-2620	31	24	and	and	CCONJ
ejpam-2620	31	25	an	an	DET
ejpam-2620	31	26	accumulation	accumulation	NOUN
ejpam-2620	31	27	of	of	ADP
ejpam-2620	31	28	impairment	impairment	NOUN
ejpam-2620	31	29	is	be	AUX
ejpam-2620	31	30	seen	see	VERB
ejpam-2620	31	31	during	during	ADP
ejpam-2620	31	32	the	the	DET
ejpam-2620	31	33	attack	attack	NOUN
ejpam-2620	31	34	.	.	PUNCT
ejpam-2620	32	1	in	in	ADP
ejpam-2620	32	2	the	the	DET
ejpam-2620	32	3	rare	rare	ADJ
ejpam-2620	32	4	form	form	NOUN
ejpam-2620	32	5	of	of	ADP
ejpam-2620	32	6	ms	ms	PROPN
ejpam-2620	32	7	,	,	PUNCT
ejpam-2620	32	8	primary	primary	ADJ
ejpam-2620	32	9	progressive	progressive	ADJ
ejpam-2620	32	10	ms	ms	PROPN
ejpam-2620	32	11	(	(	PUNCT
ejpam-2620	32	12	ppms	ppm	NOUN
ejpam-2620	32	13	)	)	PUNCT
ejpam-2620	32	14	,	,	PUNCT
ejpam-2620	32	15	attacks	attack	NOUN
ejpam-2620	32	16	are	be	AUX
ejpam-2620	32	17	not	not	PART
ejpam-2620	32	18	seen	see	VERB
ejpam-2620	32	19	in	in	ADP
ejpam-2620	32	20	the	the	DET
ejpam-2620	32	21	picture	picture	NOUN
ejpam-2620	32	22	but	but	CCONJ
ejpam-2620	32	23	similar	similar	ADJ
ejpam-2620	32	24	to	to	ADP
ejpam-2620	32	25	the	the	DET
ejpam-2620	32	26	case	case	NOUN
ejpam-2620	32	27	of	of	ADP
ejpam-2620	32	28	spms	spm	NOUN
ejpam-2620	32	29	,	,	PUNCT
ejpam-2620	32	30	accumulation	accumulation	NOUN
ejpam-2620	32	31	of	of	ADP
ejpam-2620	32	32	neurological	neurological	ADJ
ejpam-2620	32	33	impairment	impairment	NOUN
ejpam-2620	32	34	is	be	AUX
ejpam-2620	32	35	observed	observe	VERB
ejpam-2620	32	36	in	in	ADP
ejpam-2620	32	37	the	the	DET
ejpam-2620	32	38	patients	patient	NOUN
ejpam-2620	32	39	over	over	ADP
ejpam-2620	32	40	the	the	DET
ejpam-2620	32	41	years	year	NOUN
ejpam-2620	32	42	.	.	PUNCT
ejpam-2620	33	1	ppms	ppm	NOUN
ejpam-2620	33	2	is	be	AUX
ejpam-2620	33	3	seen	see	VERB
ejpam-2620	33	4	in	in	ADP
ejpam-2620	33	5	10	10	NUM
ejpam-2620	33	6	15	15	NUM
ejpam-2620	33	7	%	%	NOUN
ejpam-2620	33	8	of	of	ADP
ejpam-2620	33	9	the	the	DET
ejpam-2620	33	10	patients	patient	NOUN
ejpam-2620	33	11	,	,	PUNCT
ejpam-2620	33	12	and	and	CCONJ
ejpam-2620	33	13	its	its	PRON
ejpam-2620	33	14	diagnosis	diagnosis	NOUN
ejpam-2620	33	15	is	be	AUX
ejpam-2620	33	16	of	of	ADP
ejpam-2620	33	17	critical	critical	ADJ
ejpam-2620	33	18	importance	importance	NOUN
ejpam-2620	33	19	since	since	SCONJ
ejpam-2620	33	20	it	it	PRON
ejpam-2620	33	21	is	be	AUX
ejpam-2620	33	22	the	the	DET
ejpam-2620	33	23	form	form	NOUN
ejpam-2620	33	24	of	of	ADP
ejpam-2620	33	25	ms	ms	NOUN
ejpam-2620	33	26	that	that	PRON
ejpam-2620	33	27	has	have	VERB
ejpam-2620	33	28	the	the	DET
ejpam-2620	33	29	highest	high	ADJ
ejpam-2620	33	30	resistance	resistance	NOUN
ejpam-2620	33	31	to	to	ADP
ejpam-2620	33	32	treatment	treatment	NOUN
ejpam-2620	33	33	[	[	X
ejpam-2620	33	34	17	17	NUM
ejpam-2620	33	35	,	,	PUNCT
ejpam-2620	33	36	21	21	NUM
ejpam-2620	33	37	,	,	PUNCT
ejpam-2620	33	38	23	23	NUM
ejpam-2620	33	39	,	,	PUNCT
ejpam-2620	33	40	26–28	26–28	NUM
ejpam-2620	33	41	]	]	PUNCT
ejpam-2620	33	42	.	.	PUNCT
ejpam-2620	34	1	it	it	PRON
ejpam-2620	34	2	is	be	AUX
ejpam-2620	34	3	important	important	ADJ
ejpam-2620	34	4	that	that	SCONJ
ejpam-2620	34	5	the	the	DET
ejpam-2620	34	6	subtypes	subtype	NOUN
ejpam-2620	34	7	of	of	ADP
ejpam-2620	34	8	the	the	DET
ejpam-2620	34	9	disorder	disorder	NOUN
ejpam-2620	34	10	and	and	CCONJ
ejpam-2620	34	11	their	their	PRON
ejpam-2620	34	12	likelihood	likelihood	NOUN
ejpam-2620	34	13	of	of	ADP
ejpam-2620	34	14	causing	cause	VERB
ejpam-2620	34	15	disability	disability	NOUN
ejpam-2620	34	16	in	in	ADP
ejpam-2620	34	17	the	the	DET
ejpam-2620	34	18	future	future	NOUN
ejpam-2620	34	19	be	be	AUX
ejpam-2620	34	20	identified	identify	VERB
ejpam-2620	34	21	in	in	ADP
ejpam-2620	34	22	the	the	DET
ejpam-2620	34	23	early	early	ADJ
ejpam-2620	34	24	phase	phase	NOUN
ejpam-2620	34	25	.	.	PUNCT
ejpam-2620	35	1	it	it	PRON
ejpam-2620	35	2	is	be	AUX
ejpam-2620	35	3	also	also	ADV
ejpam-2620	35	4	important	important	ADJ
ejpam-2620	35	5	to	to	PART
ejpam-2620	35	6	identify	identify	VERB
ejpam-2620	35	7	and	and	CCONJ
ejpam-2620	35	8	compare	compare	VERB
ejpam-2620	35	9	the	the	DET
ejpam-2620	35	10	mri	mri	NOUN
ejpam-2620	35	11	lesion	lesion	NOUN
ejpam-2620	35	12	characteristics	characteristic	NOUN
ejpam-2620	35	13	of	of	ADP
ejpam-2620	35	14	the	the	DET
ejpam-2620	35	15	groups	group	NOUN
ejpam-2620	35	16	corresponding	correspond	VERB
ejpam-2620	35	17	as	as	ADV
ejpam-2620	35	18	well	well	ADV
ejpam-2620	35	19	as	as	ADP
ejpam-2620	35	20	the	the	DET
ejpam-2620	35	21	lesion	lesion	NOUN
ejpam-2620	35	22	load	load	NOUN
ejpam-2620	35	23	so	so	SCONJ
ejpam-2620	35	24	that	that	SCONJ
ejpam-2620	35	25	the	the	DET
ejpam-2620	35	26	treatment	treatment	NOUN
ejpam-2620	35	27	regimen	regiman	NOUN
ejpam-2620	35	28	can	can	AUX
ejpam-2620	35	29	be	be	AUX
ejpam-2620	35	30	figured	figure	VERB
ejpam-2620	35	31	out	out	ADP
ejpam-2620	35	32	at	at	ADP
ejpam-2620	35	33	an	an	DET
ejpam-2620	35	34	early	early	ADJ
ejpam-2620	35	35	stage	stage	NOUN
ejpam-2620	35	36	and	and	CCONJ
ejpam-2620	35	37	indicate	indicate	VERB
ejpam-2620	35	38	the	the	DET
ejpam-2620	35	39	success	success	NOUN
ejpam-2620	35	40	of	of	ADP
ejpam-2620	35	41	follow	follow	NOUN
ejpam-2620	35	42	-	-	PUNCT
ejpam-2620	35	43	up	up	NOUN
ejpam-2620	35	44	.	.	PUNCT
ejpam-2620	36	1	for	for	ADP
ejpam-2620	36	2	the	the	DET
ejpam-2620	36	3	clinical	clinical	ADJ
ejpam-2620	36	4	diagnosis	diagnosis	NOUN
ejpam-2620	36	5	of	of	ADP
ejpam-2620	36	6	ms	ms	NOUN
ejpam-2620	36	7	disorder	disorder	NOUN
ejpam-2620	36	8	and	and	CCONJ
ejpam-2620	36	9	its	its	PRON
ejpam-2620	36	10	subgroups	subgroup	NOUN
ejpam-2620	36	11	,	,	PUNCT
ejpam-2620	36	12	lesion	lesion	NOUN
ejpam-2620	36	13	size	size	NOUN
ejpam-2620	36	14	received	receive	VERB
ejpam-2620	36	15	from	from	ADP
ejpam-2620	36	16	the	the	DET
ejpam-2620	36	17	mr	mr	PROPN
ejpam-2620	36	18	images	image	NOUN
ejpam-2620	36	19	of	of	ADP
ejpam-2620	36	20	the	the	DET
ejpam-2620	36	21	patients	patient	NOUN
ejpam-2620	36	22	taken	take	VERB
ejpam-2620	36	23	on	on	ADP
ejpam-2620	36	24	regular	regular	ADJ
ejpam-2620	36	25	basis	basis	NOUN
ejpam-2620	36	26	throughout	throughout	ADP
ejpam-2620	36	27	the	the	DET
ejpam-2620	36	28	years	year	NOUN
ejpam-2620	36	29	and	and	CCONJ
ejpam-2620	36	30	edss	edss	ADJ
ejpam-2620	36	31	score	score	NOUN
ejpam-2620	36	32	based	base	VERB
ejpam-2620	36	33	on	on	ADP
ejpam-2620	36	34	mcdonald	mcdonald	PROPN
ejpam-2620	36	35	criteria	criterion	NOUN
ejpam-2620	36	36	are	be	AUX
ejpam-2620	36	37	used	use	VERB
ejpam-2620	36	38	in	in	ADP
ejpam-2620	36	39	this	this	DET
ejpam-2620	36	40	study	study	NOUN
ejpam-2620	36	41	[	[	X
ejpam-2620	36	42	16	16	NUM
ejpam-2620	36	43	]	]	PUNCT
ejpam-2620	36	44	.	.	PUNCT
ejpam-2620	37	1	the	the	DET
ejpam-2620	37	2	dataset	dataset	NOUN
ejpam-2620	37	3	is	be	AUX
ejpam-2620	37	4	made	make	VERB
ejpam-2620	37	5	up	up	ADP
ejpam-2620	37	6	of	of	ADP
ejpam-2620	37	7	data	datum	NOUN
ejpam-2620	37	8	belonging	belong	VERB
ejpam-2620	37	9	to	to	ADP
ejpam-2620	37	10	120	120	NUM
ejpam-2620	37	11	ms	ms	ADJ
ejpam-2620	37	12	patients	patient	NOUN
ejpam-2620	37	13	.	.	PUNCT
ejpam-2620	38	1	performance	performance	NOUN
ejpam-2620	38	2	analysis	analysis	NOUN
ejpam-2620	38	3	of	of	ADP
ejpam-2620	38	4	the	the	DET
ejpam-2620	38	5	ms	ms	PROPN
ejpam-2620	38	6	subgroups	subgroup	NOUN
ejpam-2620	38	7	among	among	ADP
ejpam-2620	38	8	these	these	DET
ejpam-2620	38	9	patients	patient	NOUN
ejpam-2620	38	10	based	base	VERB
ejpam-2620	38	11	on	on	ADP
ejpam-2620	38	12	different	different	ADJ
ejpam-2620	38	13	kernel	kernel	NOUN
ejpam-2620	38	14	types	type	NOUN
ejpam-2620	38	15	of	of	ADP
ejpam-2620	38	16	the	the	DET
ejpam-2620	38	17	svm	svm	ADJ
ejpam-2620	38	18	machine	machine	NOUN
ejpam-2620	38	19	learning	learning	NOUN
ejpam-2620	38	20	is	be	AUX
ejpam-2620	38	21	performed	perform	VERB
ejpam-2620	38	22	in	in	ADP
ejpam-2620	38	23	this	this	DET
ejpam-2620	38	24	study	study	NOUN
ejpam-2620	38	25	.	.	PUNCT
ejpam-2620	39	1	ms	ms	PROPN
ejpam-2620	39	2	disorder	disorder	NOUN
ejpam-2620	39	3	is	be	AUX
ejpam-2620	39	4	seen	see	VERB
ejpam-2620	39	5	more	more	ADV
ejpam-2620	39	6	frequently	frequently	ADV
ejpam-2620	39	7	with	with	ADP
ejpam-2620	39	8	the	the	DET
ejpam-2620	39	9	following	follow	VERB
ejpam-2620	39	10	characteristics	characteristic	NOUN
ejpam-2620	39	11	:	:	PUNCT
ejpam-2620	39	12	young	young	ADJ
ejpam-2620	39	13	adults	adult	NOUN
ejpam-2620	39	14	aged	age	VERB
ejpam-2620	39	15	between	between	ADP
ejpam-2620	39	16	20	20	NUM
ejpam-2620	39	17	and	and	CCONJ
ejpam-2620	39	18	50	50	NUM
ejpam-2620	39	19	,	,	PUNCT
ejpam-2620	39	20	caucasians	caucasian	NOUN
ejpam-2620	39	21	,	,	PUNCT
ejpam-2620	39	22	people	people	NOUN
ejpam-2620	39	23	living	live	VERB
ejpam-2620	39	24	in	in	ADP
ejpam-2620	39	25	mild	mild	ADJ
ejpam-2620	39	26	and	and	CCONJ
ejpam-2620	39	27	cold	cold	ADJ
ejpam-2620	39	28	climate	climate	NOUN
ejpam-2620	39	29	zones	zone	NOUN
ejpam-2620	39	30	,	,	PUNCT
ejpam-2620	39	31	those	those	PRON
ejpam-2620	39	32	whose	whose	DET
ejpam-2620	39	33	family	family	NOUN
ejpam-2620	39	34	members	member	NOUN
ejpam-2620	39	35	have	have	VERB
ejpam-2620	39	36	ms	ms	NOUN
ejpam-2620	39	37	,	,	PUNCT
ejpam-2620	39	38	people	people	NOUN
ejpam-2620	39	39	with	with	ADP
ejpam-2620	39	40	a	a	DET
ejpam-2620	39	41	high	high	ADJ
ejpam-2620	39	42	profile	profile	NOUN
ejpam-2620	39	43	in	in	ADP
ejpam-2620	39	44	terms	term	NOUN
ejpam-2620	39	45	of	of	ADP
ejpam-2620	39	46	social	social	ADJ
ejpam-2620	39	47	,	,	PUNCT
ejpam-2620	39	48	cultural	cultural	ADJ
ejpam-2620	39	49	and	and	CCONJ
ejpam-2620	39	50	economic	economic	ADJ
ejpam-2620	39	51	aspects	aspect	NOUN
ejpam-2620	39	52	[	[	X
ejpam-2620	39	53	21	21	NUM
ejpam-2620	39	54	]	]	PUNCT
ejpam-2620	39	55	.	.	PUNCT
ejpam-2620	40	1	data	datum	NOUN
ejpam-2620	40	2	belonging	belong	VERB
ejpam-2620	40	3	to	to	ADP
ejpam-2620	40	4	the	the	DET
ejpam-2620	40	5	patients	patient	NOUN
ejpam-2620	40	6	and	and	CCONJ
ejpam-2620	40	7	age	age	NOUN
ejpam-2620	40	8	interval	interval	NOUN
ejpam-2620	40	9	table	table	NOUN
ejpam-2620	40	10	are	be	AUX
ejpam-2620	40	11	presented	present	VERB
ejpam-2620	40	12	in	in	ADP
ejpam-2620	40	13	table	table	NOUN
ejpam-2620	40	14	1	1	NUM
ejpam-2620	40	15	.	.	PUNCT
ejpam-2620	40	16	including	include	VERB
ejpam-2620	40	17	120	120	NUM
ejpam-2620	40	18	ms	ms	ADJ
ejpam-2620	40	19	patients	patient	NOUN
ejpam-2620	40	20	(	(	PUNCT
ejpam-2620	40	21	aged	age	VERB
ejpam-2620	40	22	between	between	ADP
ejpam-2620	40	23	20	20	NUM
ejpam-2620	40	24	and	and	CCONJ
ejpam-2620	40	25	55	55	NUM
ejpam-2620	40	26	)	)	PUNCT
ejpam-2620	40	27	,	,	PUNCT
ejpam-2620	40	28	the	the	DET
ejpam-2620	40	29	study	study	NOUN
ejpam-2620	40	30	performs	perform	VERB
ejpam-2620	40	31	the	the	DET
ejpam-2620	40	32	identification	identification	NOUN
ejpam-2620	40	33	of	of	ADP
ejpam-2620	40	34	rrms	rrm	NOUN
ejpam-2620	40	35	,	,	PUNCT
ejpam-2620	40	36	spms	spm	NOUN
ejpam-2620	40	37	and	and	CCONJ
ejpam-2620	40	38	ppms	ppm	NOUN
ejpam-2620	40	39	.	.	PUNCT
ejpam-2620	41	1	mr	mr	PROPN
ejpam-2620	41	2	images	image	NOUN
ejpam-2620	41	3	of	of	ADP
ejpam-2620	41	4	the	the	DET
ejpam-2620	41	5	patients	patient	NOUN
ejpam-2620	41	6	taken	take	VERB
ejpam-2620	41	7	from	from	ADP
ejpam-2620	41	8	the	the	DET
ejpam-2620	41	9	last	last	ADJ
ejpam-2620	41	10	three	three	NUM
ejpam-2620	41	11	years	year	NOUN
ejpam-2620	41	12	have	have	AUX
ejpam-2620	41	13	been	be	AUX
ejpam-2620	41	14	examined	examine	VERB
ejpam-2620	41	15	focusing	focus	VERB
ejpam-2620	41	16	on	on	ADP
ejpam-2620	41	17	three	three	NUM
ejpam-2620	41	18	regions	region	NOUN
ejpam-2620	41	19	,	,	PUNCT
ejpam-2620	41	20	which	which	PRON
ejpam-2620	41	21	are	be	AUX
ejpam-2620	41	22	the	the	DET
ejpam-2620	41	23	brain	brain	NOUN
ejpam-2620	41	24	stem	stem	NOUN
ejpam-2620	41	25	,	,	PUNCT
ejpam-2620	41	26	corpus	corpus	NOUN
ejpam-2620	41	27	callosum	callosum	NOUN
ejpam-2620	41	28	and	and	CCONJ
ejpam-2620	41	29	upper	upper	ADJ
ejpam-2620	41	30	part	part	NOUN
ejpam-2620	41	31	of	of	ADP
ejpam-2620	41	32	the	the	DET
ejpam-2620	41	33	neck	neck	NOUN
ejpam-2620	41	34	.	.	PUNCT
ejpam-2620	42	1	at	at	ADV
ejpam-2620	42	2	least	least	ADV
ejpam-2620	42	3	3	3	NUM
ejpam-2620	42	4	years	year	NOUN
ejpam-2620	42	5	have	have	AUX
ejpam-2620	42	6	passed	pass	VERB
ejpam-2620	42	7	between	between	ADP
ejpam-2620	42	8	the	the	DET
ejpam-2620	42	9	first	first	ADJ
ejpam-2620	42	10	mri	mri	NOUN
ejpam-2620	42	11	and	and	CCONJ
ejpam-2620	42	12	second	second	ADJ
ejpam-2620	42	13	mri	mri	NOUN
ejpam-2620	42	14	,	,	PUNCT
ejpam-2620	42	15	and	and	CCONJ
ejpam-2620	42	16	at	at	ADV
ejpam-2620	42	17	least	least	ADJ
ejpam-2620	42	18	8	8	NUM
ejpam-2620	42	19	years	year	NOUN
ejpam-2620	42	20	have	have	AUX
ejpam-2620	42	21	passed	pass	VERB
ejpam-2620	42	22	between	between	ADP
ejpam-2620	42	23	the	the	DET
ejpam-2620	42	24	second	second	ADJ
ejpam-2620	42	25	and	and	CCONJ
ejpam-2620	42	26	third	third	ADJ
ejpam-2620	42	27	mri	mri	NOUN
ejpam-2620	42	28	.	.	PUNCT
ejpam-2620	43	1	the	the	DET
ejpam-2620	43	2	outcomes	outcome	NOUN
ejpam-2620	43	3	of	of	ADP
ejpam-2620	43	4	the	the	DET
ejpam-2620	43	5	ms	ms	PROPN
ejpam-2620	43	6	patients	patient	NOUN
ejpam-2620	43	7	have	have	AUX
ejpam-2620	43	8	been	be	AUX
ejpam-2620	43	9	identified	identify	VERB
ejpam-2620	43	10	(	(	PUNCT
ejpam-2620	43	11	associated	associate	VERB
ejpam-2620	43	12	)	)	PUNCT
ejpam-2620	43	13	through	through	ADP
ejpam-2620	43	14	edss	edss	ADJ
ejpam-2620	43	15	scores	score	NOUN
ejpam-2620	43	16	by	by	ADP
ejpam-2620	43	17	a	a	DET
ejpam-2620	43	18	neurologist	neurologist	NOUN
ejpam-2620	43	19	using	use	VERB
ejpam-2620	43	20	mri	mri	NOUN
ejpam-2620	43	21	results	result	NOUN
ejpam-2620	43	22	.	.	PUNCT
ejpam-2620	44	1	while	while	SCONJ
ejpam-2620	44	2	identifying	identify	VERB
ejpam-2620	44	3	the	the	DET
ejpam-2620	44	4	subgroups	subgroup	NOUN
ejpam-2620	44	5	of	of	ADP
ejpam-2620	44	6	the	the	DET
ejpam-2620	44	7	y.	y.	PROPN
ejpam-2620	44	8	karaca	karaca	PROPN
ejpam-2620	44	9	,	,	PUNCT
ejpam-2620	44	10	ş.	ş.	PROPN
ejpam-2620	44	11	hayta	hayta	PROPN
ejpam-2620	44	12	,	,	PUNCT
ejpam-2620	44	13	r.	r.	PROPN
ejpam-2620	44	14	karabudak	karabudak	PROPN
ejpam-2620	44	15	/	/	SYM
ejpam-2620	44	16	eur	eur	PROPN
ejpam-2620	44	17	.	.	PUNCT
ejpam-2620	45	1	j.	j.	PROPN
ejpam-2620	45	2	pure	pure	PROPN
ejpam-2620	45	3	appl	appl	PROPN
ejpam-2620	45	4	.	.	PROPN
ejpam-2620	45	5	math	math	PROPN
ejpam-2620	45	6	,	,	PUNCT
ejpam-2620	45	7	9	9	NUM
ejpam-2620	45	8	(	(	PUNCT
ejpam-2620	45	9	2016	2016	NUM
ejpam-2620	45	10	)	)	PUNCT
ejpam-2620	45	11	,	,	PUNCT
ejpam-2620	45	12	196	196	NUM
ejpam-2620	45	13	-	-	SYM
ejpam-2620	45	14	215	215	NUM
ejpam-2620	45	15	198	198	NUM
ejpam-2620	45	16	disorder	disorder	NOUN
ejpam-2620	45	17	,	,	PUNCT
ejpam-2620	45	18	mri	mri	NOUN
ejpam-2620	45	19	data	datum	NOUN
ejpam-2620	45	20	has	have	AUX
ejpam-2620	45	21	been	be	AUX
ejpam-2620	45	22	used	use	VERB
ejpam-2620	45	23	by	by	ADP
ejpam-2620	45	24	examining	examine	VERB
ejpam-2620	45	25	the	the	DET
ejpam-2620	45	26	edss	edss	ADJ
ejpam-2620	45	27	scores	score	NOUN
ejpam-2620	45	28	(	(	PUNCT
ejpam-2620	45	29	the	the	DET
ejpam-2620	45	30	number	number	NOUN
ejpam-2620	45	31	of	of	ADP
ejpam-2620	45	32	lesion	lesion	NOUN
ejpam-2620	45	33	diameter	diameter	NOUN
ejpam-2620	45	34	for	for	ADP
ejpam-2620	45	35	three	three	NUM
ejpam-2620	45	36	different	different	ADJ
ejpam-2620	45	37	regions	region	NOUN
ejpam-2620	45	38	identified	identify	VERB
ejpam-2620	45	39	was	be	AUX
ejpam-2620	45	40	taken	take	VERB
ejpam-2620	45	41	as	as	ADP
ejpam-2620	45	42	a	a	DET
ejpam-2620	45	43	parameter	parameter	NOUN
ejpam-2620	45	44	)	)	PUNCT
ejpam-2620	45	45	.	.	PUNCT
ejpam-2620	46	1	the	the	DET
ejpam-2620	46	2	multi	multi	ADJ
ejpam-2620	46	3	class	class	NOUN
ejpam-2620	46	4	library	library	NOUN
ejpam-2620	46	5	of	of	ADP
ejpam-2620	46	6	libsvm	libsvm	NOUN
ejpam-2620	46	7	of	of	ADP
ejpam-2620	46	8	svm	svm	PROPN
ejpam-2620	46	9	supervised	supervised	ADJ
ejpam-2620	46	10	algorithm	algorithm	NOUN
ejpam-2620	46	11	,	,	PUNCT
ejpam-2620	46	12	one	one	NUM
ejpam-2620	46	13	of	of	ADP
ejpam-2620	46	14	the	the	DET
ejpam-2620	46	15	machine	machine	NOUN
ejpam-2620	46	16	learning	learn	VERB
ejpam-2620	46	17	algorithms	algorithm	NOUN
ejpam-2620	46	18	,	,	PUNCT
ejpam-2620	46	19	has	have	AUX
ejpam-2620	46	20	been	be	AUX
ejpam-2620	46	21	used	use	VERB
ejpam-2620	46	22	in	in	ADP
ejpam-2620	46	23	this	this	DET
ejpam-2620	46	24	study	study	NOUN
ejpam-2620	46	25	for	for	ADP
ejpam-2620	46	26	the	the	DET
ejpam-2620	46	27	diagnosis	diagnosis	NOUN
ejpam-2620	46	28	of	of	ADP
ejpam-2620	46	29	the	the	DET
ejpam-2620	46	30	disorder	disorder	NOUN
ejpam-2620	46	31	for	for	ADP
ejpam-2620	46	32	rrms	rrm	NOUN
ejpam-2620	46	33	,	,	PUNCT
ejpam-2620	46	34	spms	spm	NOUN
ejpam-2620	46	35	and	and	CCONJ
ejpam-2620	46	36	ppms	ppm	NOUN
ejpam-2620	46	37	.	.	PUNCT
ejpam-2620	47	1	two	two	NUM
ejpam-2620	47	2	different	different	ADJ
ejpam-2620	47	3	sets	set	NOUN
ejpam-2620	47	4	of	of	ADP
ejpam-2620	47	5	data	datum	NOUN
ejpam-2620	47	6	have	have	AUX
ejpam-2620	47	7	been	be	AUX
ejpam-2620	47	8	studied	study	VERB
ejpam-2620	47	9	for	for	ADP
ejpam-2620	47	10	the	the	DET
ejpam-2620	47	11	multi	multi	ADJ
ejpam-2620	47	12	class	class	NOUN
ejpam-2620	47	13	svm	svm	NOUN
ejpam-2620	47	14	applying	apply	VERB
ejpam-2620	47	15	radial	radial	ADJ
ejpam-2620	47	16	basis	basis	NOUN
ejpam-2620	47	17	function	function	NOUN
ejpam-2620	47	18	,	,	PUNCT
ejpam-2620	47	19	polynomial	polynomial	ADJ
ejpam-2620	47	20	,	,	PUNCT
ejpam-2620	47	21	sigmoid	sigmoid	NOUN
ejpam-2620	47	22	and	and	CCONJ
ejpam-2620	47	23	linear	linear	ADJ
ejpam-2620	47	24	kernels	kernel	NOUN
ejpam-2620	47	25	.	.	PUNCT
ejpam-2620	48	1	for	for	ADP
ejpam-2620	48	2	the	the	DET
ejpam-2620	48	3	first	first	ADJ
ejpam-2620	48	4	data	datum	NOUN
ejpam-2620	48	5	set	set	VERB
ejpam-2620	48	6	,	,	PUNCT
ejpam-2620	48	7	using	use	VERB
ejpam-2620	48	8	the	the	DET
ejpam-2620	48	9	number	number	NOUN
ejpam-2620	48	10	of	of	ADP
ejpam-2620	48	11	each	each	DET
ejpam-2620	48	12	lesion	lesion	NOUN
ejpam-2620	48	13	diameter	diameter	NOUN
ejpam-2620	48	14	(	(	PUNCT
ejpam-2620	48	15	width	width	PROPN
ejpam-2620	48	16	)	)	PUNCT
ejpam-2620	48	17	for	for	ADP
ejpam-2620	48	18	three	three	NUM
ejpam-2620	48	19	different	different	ADJ
ejpam-2620	48	20	parts	part	NOUN
ejpam-2620	48	21	separately	separately	ADV
ejpam-2620	48	22	,	,	PUNCT
ejpam-2620	48	23	a	a	DET
ejpam-2620	48	24	matrix	matrix	NOUN
ejpam-2620	48	25	of	of	ADP
ejpam-2620	48	26	size	size	NOUN
ejpam-2620	48	27	120×	120×	PROPN
ejpam-2620	48	28	227	227	NUM
ejpam-2620	48	29	has	have	AUX
ejpam-2620	48	30	been	be	AUX
ejpam-2620	48	31	obtained.the	obtained.the	DET
ejpam-2620	48	32	second	second	ADJ
ejpam-2620	48	33	data	datum	NOUN
ejpam-2620	48	34	set	set	VERB
ejpam-2620	48	35	yields	yield	VERB
ejpam-2620	48	36	a	a	DET
ejpam-2620	48	37	matrix	matrix	NOUN
ejpam-2620	48	38	of	of	ADP
ejpam-2620	48	39	120x228	120x228	PROPN
ejpam-2620	48	40	with	with	ADP
ejpam-2620	48	41	edss	edss	ADJ
ejpam-2620	48	42	scores	score	NOUN
ejpam-2620	48	43	and	and	CCONJ
ejpam-2620	48	44	mri	mri	NOUN
ejpam-2620	48	45	data	datum	NOUN
ejpam-2620	48	46	of	of	ADP
ejpam-2620	48	47	120	120	NUM
ejpam-2620	48	48	patients	patient	NOUN
ejpam-2620	48	49	(	(	PUNCT
ejpam-2620	48	50	the	the	DET
ejpam-2620	48	51	number	number	NOUN
ejpam-2620	48	52	of	of	ADP
ejpam-2620	48	53	lesion	lesion	NOUN
ejpam-2620	48	54	diameter	diameter	NOUN
ejpam-2620	48	55	/	/	SYM
ejpam-2620	48	56	width	width	NOUN
ejpam-2620	48	57	for	for	ADP
ejpam-2620	48	58	three	three	NUM
ejpam-2620	48	59	different	different	ADJ
ejpam-2620	48	60	regions	region	NOUN
ejpam-2620	48	61	separately	separately	ADV
ejpam-2620	48	62	)	)	PUNCT
ejpam-2620	48	63	.	.	PUNCT
ejpam-2620	49	1	so	so	ADV
ejpam-2620	49	2	as	as	SCONJ
ejpam-2620	49	3	to	to	PART
ejpam-2620	49	4	see	see	VERB
ejpam-2620	49	5	the	the	DET
ejpam-2620	49	6	significance	significance	NOUN
ejpam-2620	49	7	of	of	ADP
ejpam-2620	49	8	the	the	DET
ejpam-2620	49	9	parameter	parameter	NOUN
ejpam-2620	49	10	,	,	PUNCT
ejpam-2620	49	11	edss	edss	ADJ
ejpam-2620	49	12	score	score	NOUN
ejpam-2620	49	13	has	have	AUX
ejpam-2620	49	14	been	be	AUX
ejpam-2620	49	15	removed	remove	VERB
ejpam-2620	49	16	from	from	ADP
ejpam-2620	49	17	the	the	DET
ejpam-2620	49	18	second	second	ADJ
ejpam-2620	49	19	dataset	dataset	NOUN
ejpam-2620	49	20	.	.	PUNCT
ejpam-2620	50	1	c	c	X
ejpam-2620	50	2	-	-	PUNCT
ejpam-2620	50	3	svc	svc	PROPN
ejpam-2620	50	4	(	(	PUNCT
ejpam-2620	50	5	c	c	NOUN
ejpam-2620	50	6	-	-	PUNCT
ejpam-2620	50	7	support	support	NOUN
ejpam-2620	50	8	vector	vector	NOUN
ejpam-2620	50	9	classification	classification	NOUN
ejpam-2620	50	10	)	)	PUNCT
ejpam-2620	50	11	is	be	AUX
ejpam-2620	50	12	a	a	DET
ejpam-2620	50	13	multiclass	multiclass	ADJ
ejpam-2620	50	14	support	support	NOUN
ejpam-2620	50	15	vector	vector	NOUN
ejpam-2620	50	16	machine	machine	NOUN
ejpam-2620	50	17	algorithm	algorithm	NOUN
ejpam-2620	50	18	method	method	NOUN
ejpam-2620	50	19	.	.	PUNCT
ejpam-2620	51	1	data	datum	NOUN
ejpam-2620	51	2	has	have	AUX
ejpam-2620	51	3	been	be	AUX
ejpam-2620	51	4	applied	apply	VERB
ejpam-2620	51	5	onto	onto	ADP
ejpam-2620	51	6	methods	method	NOUN
ejpam-2620	51	7	such	such	ADJ
ejpam-2620	51	8	as	as	ADP
ejpam-2620	51	9	radial	radial	ADJ
ejpam-2620	51	10	basis	basis	NOUN
ejpam-2620	51	11	function	function	NOUN
ejpam-2620	51	12	(	(	PUNCT
ejpam-2620	51	13	rbf	rbf	PROPN
ejpam-2620	51	14	)	)	PUNCT
ejpam-2620	51	15	kernel	kernel	PROPN
ejpam-2620	51	16	,	,	PUNCT
ejpam-2620	51	17	polynomial	polynomial	ADJ
ejpam-2620	51	18	kernel	kernel	NOUN
ejpam-2620	51	19	,	,	PUNCT
ejpam-2620	51	20	sigmoid	sigmoid	NOUN
ejpam-2620	51	21	kernel	kernel	PROPN
ejpam-2620	51	22	and	and	CCONJ
ejpam-2620	51	23	linear	linear	PROPN
ejpam-2620	51	24	kernel	kernel	NOUN
ejpam-2620	51	25	which	which	PRON
ejpam-2620	51	26	are	be	AUX
ejpam-2620	51	27	considered	consider	VERB
ejpam-2620	51	28	as	as	ADP
ejpam-2620	51	29	c	c	NOUN
ejpam-2620	51	30	-	-	PUNCT
ejpam-2620	51	31	svc	svc	PROPN
ejpam-2620	51	32	algorithms	algorithm	NOUN
ejpam-2620	51	33	[	[	X
ejpam-2620	51	34	18	18	NUM
ejpam-2620	51	35	]	]	PUNCT
ejpam-2620	51	36	.	.	PUNCT
ejpam-2620	52	1	according	accord	VERB
ejpam-2620	52	2	to	to	ADP
ejpam-2620	52	3	c	c	X
ejpam-2620	52	4	-	-	PUNCT
ejpam-2620	52	5	svc	svc	PROPN
ejpam-2620	52	6	kernels	kernels	PROPN
ejpam-2620	52	7	experimental	experimental	ADJ
ejpam-2620	52	8	results	result	NOUN
ejpam-2620	52	9	have	have	AUX
ejpam-2620	52	10	been	be	AUX
ejpam-2620	52	11	given	give	VERB
ejpam-2620	52	12	by	by	ADP
ejpam-2620	52	13	two	two	NUM
ejpam-2620	52	14	aspects	aspect	NOUN
ejpam-2620	52	15	that	that	PRON
ejpam-2620	52	16	are	be	AUX
ejpam-2620	52	17	k	k	ADJ
ejpam-2620	52	18	-	-	ADJ
ejpam-2620	52	19	fold	fold	ADJ
ejpam-2620	52	20	cross	cross	NOUN
ejpam-2620	52	21	validation	validation	NOUN
ejpam-2620	52	22	and	and	CCONJ
ejpam-2620	52	23	computation	computation	NOUN
ejpam-2620	52	24	time	time	NOUN
ejpam-2620	52	25	.	.	PUNCT
ejpam-2620	53	1	in	in	ADP
ejpam-2620	53	2	the	the	DET
ejpam-2620	53	3	meantime	meantime	NOUN
ejpam-2620	53	4	,	,	PUNCT
ejpam-2620	53	5	performance	performance	NOUN
ejpam-2620	53	6	evaluation	evaluation	NOUN
ejpam-2620	53	7	has	have	AUX
ejpam-2620	53	8	been	be	AUX
ejpam-2620	53	9	made	make	VERB
ejpam-2620	53	10	through	through	ADP
ejpam-2620	53	11	k	k	ADJ
ejpam-2620	53	12	-	-	ADJ
ejpam-2620	53	13	fold	fold	ADJ
ejpam-2620	53	14	cross	cross	NOUN
ejpam-2620	53	15	validation	validation	NOUN
ejpam-2620	53	16	(	(	PUNCT
ejpam-2620	53	17	k	k	NOUN
ejpam-2620	53	18	=	=	NOUN
ejpam-2620	53	19	10	10	NUM
ejpam-2620	53	20	)	)	PUNCT
ejpam-2620	53	21	.	.	PUNCT
ejpam-2620	54	1	the	the	DET
ejpam-2620	54	2	computation	computation	NOUN
ejpam-2620	54	3	time	time	NOUN
ejpam-2620	54	4	during	during	ADP
ejpam-2620	54	5	the	the	DET
ejpam-2620	54	6	classification	classification	NOUN
ejpam-2620	54	7	of	of	ADP
ejpam-2620	54	8	the	the	DET
ejpam-2620	54	9	c	c	PROPN
ejpam-2620	54	10	-	-	PUNCT
ejpam-2620	54	11	svc	svc	PROPN
ejpam-2620	54	12	kernel	kernel	PROPN
ejpam-2620	54	13	(	(	PUNCT
ejpam-2620	54	14	radial	radial	ADJ
ejpam-2620	54	15	basis	basis	NOUN
ejpam-2620	54	16	function	function	NOUN
ejpam-2620	54	17	kernel	kernel	NOUN
ejpam-2620	54	18	,	,	PUNCT
ejpam-2620	54	19	polynomial	polynomial	ADJ
ejpam-2620	54	20	kernel	kernel	NOUN
ejpam-2620	54	21	,	,	PUNCT
ejpam-2620	54	22	sigmoid	sigmoid	NOUN
ejpam-2620	54	23	kernel	kernel	NOUN
ejpam-2620	54	24	,	,	PUNCT
ejpam-2620	54	25	linear	linear	ADJ
ejpam-2620	54	26	kernel	kernel	NOUN
ejpam-2620	54	27	)	)	PUNCT
ejpam-2620	54	28	methods	method	NOUN
ejpam-2620	54	29	have	have	AUX
ejpam-2620	54	30	been	be	AUX
ejpam-2620	54	31	provided	provide	VERB
ejpam-2620	54	32	in	in	ADP
ejpam-2620	54	33	a	a	DET
ejpam-2620	54	34	comparative	comparative	ADJ
ejpam-2620	54	35	fashion	fashion	NOUN
ejpam-2620	54	36	.	.	PUNCT
ejpam-2620	55	1	please	please	INTJ
ejpam-2620	55	2	see	see	VERB
ejpam-2620	55	3	table	table	NOUN
ejpam-2620	55	4	2	2	NUM
ejpam-2620	55	5	for	for	ADP
ejpam-2620	55	6	a	a	DET
ejpam-2620	55	7	brief	brief	ADJ
ejpam-2620	55	8	review	review	NOUN
ejpam-2620	55	9	of	of	ADP
ejpam-2620	55	10	relevant	relevant	ADJ
ejpam-2620	55	11	literature	literature	NOUN
ejpam-2620	55	12	.	.	PUNCT
ejpam-2620	56	1	table	table	NOUN
ejpam-2620	56	2	1	1	NUM
ejpam-2620	56	3	:	:	PUNCT
ejpam-2620	56	4	age	age	NOUN
ejpam-2620	56	5	intervals	interval	NOUN
ejpam-2620	56	6	based	base	VERB
ejpam-2620	56	7	on	on	ADP
ejpam-2620	56	8	the	the	DET
ejpam-2620	56	9	gender	gender	NOUN
ejpam-2620	56	10	of	of	ADP
ejpam-2620	56	11	the	the	DET
ejpam-2620	56	12	patients	patient	NOUN
ejpam-2620	56	13	in	in	ADP
ejpam-2620	56	14	the	the	DET
ejpam-2620	56	15	dataset	dataset	NOUN
ejpam-2620	56	16	.	.	PUNCT
ejpam-2620	57	1	age	age	NOUN
ejpam-2620	57	2	18	18	NUM
ejpam-2620	57	3	-	-	SYM
ejpam-2620	57	4	25	25	NUM
ejpam-2620	57	5	26	26	NUM
ejpam-2620	57	6	-	-	SYM
ejpam-2620	57	7	30	30	NUM
ejpam-2620	57	8	31	31	NUM
ejpam-2620	57	9	-	-	SYM
ejpam-2620	57	10	35	35	NUM
ejpam-2620	57	11	36	36	NUM
ejpam-2620	57	12	-	-	SYM
ejpam-2620	57	13	40	40	NUM
ejpam-2620	57	14	41	41	NUM
ejpam-2620	57	15	-	-	SYM
ejpam-2620	57	16	45	45	NUM
ejpam-2620	57	17	46	46	NUM
ejpam-2620	57	18	-	-	SYM
ejpam-2620	57	19	50	50	NUM
ejpam-2620	57	20	51	51	NUM
ejpam-2620	57	21	-	-	SYM
ejpam-2620	57	22	65	65	NUM
ejpam-2620	57	23	female	female	ADJ
ejpam-2620	57	24	10	10	NUM
ejpam-2620	57	25	22	22	NUM
ejpam-2620	57	26	17	17	NUM
ejpam-2620	57	27	16	16	NUM
ejpam-2620	57	28	9	9	NUM
ejpam-2620	57	29	8	8	NUM
ejpam-2620	57	30	6	6	NUM
ejpam-2620	57	31	male	male	NOUN
ejpam-2620	57	32	6	6	NUM
ejpam-2620	57	33	11	11	NUM
ejpam-2620	57	34	4	4	NUM
ejpam-2620	57	35	6	6	NUM
ejpam-2620	57	36	4	4	NUM
ejpam-2620	57	37	0	0	NUM
ejpam-2620	57	38	1	1	NUM
ejpam-2620	57	39	table	table	NOUN
ejpam-2620	57	40	2	2	NUM
ejpam-2620	57	41	:	:	PUNCT
ejpam-2620	57	42	literature	literature	NOUN
ejpam-2620	57	43	review	review	NOUN
ejpam-2620	57	44	on	on	ADP
ejpam-2620	57	45	ms	ms	PROPN
ejpam-2620	57	46	.	.	PROPN
ejpam-2620	57	47	researchers	researcher	NOUN
ejpam-2620	57	48	experiments	experiment	VERB
ejpam-2620	57	49	experimental	experimental	ADJ
ejpam-2620	57	50	results	result	NOUN
ejpam-2620	57	51	gutermana	gutermana	PROPN
ejpam-2620	57	52	,	,	PUNCT
ejpam-2620	57	53	et	et	PROPN
ejpam-2620	57	54	al	al	PROPN
ejpam-2620	58	1	[	[	X
ejpam-2620	58	2	14	14	NUM
ejpam-2620	58	3	]	]	X
ejpam-2620	58	4	data	datum	NOUN
ejpam-2620	58	5	concerning	concern	VERB
ejpam-2620	58	6	100	100	NUM
ejpam-2620	58	7	ms	ms	ADJ
ejpam-2620	58	8	patients	patient	NOUN
ejpam-2620	58	9	and	and	CCONJ
ejpam-2620	58	10	control	control	NOUN
ejpam-2620	58	11	group	group	NOUN
ejpam-2620	58	12	with	with	ADP
ejpam-2620	58	13	100	100	NUM
ejpam-2620	58	14	individuals	individual	NOUN
ejpam-2620	58	15	(	(	PUNCT
ejpam-2620	58	16	brainstem	brainstem	NOUN
ejpam-2620	58	17	trigeminal	trigeminal	ADJ
ejpam-2620	58	18	)	)	PUNCT
ejpam-2620	58	19	evoked	evoke	VERB
ejpam-2620	58	20	potential	potential	ADJ
ejpam-2620	58	21	data	datum	NOUN
ejpam-2620	58	22	was	be	AUX
ejpam-2620	58	23	applied	apply	VERB
ejpam-2620	58	24	to	to	ADP
ejpam-2620	58	25	multilayer	multilayer	PROPN
ejpam-2620	58	26	perceptron	perceptron	PROPN
ejpam-2620	58	27	probabilistic	probabilistic	ADJ
ejpam-2620	58	28	neural	neural	ADJ
ejpam-2620	58	29	network	network	NOUN
ejpam-2620	58	30	and	and	CCONJ
ejpam-2620	58	31	kohonen	kohonen	PROPN
ejpam-2620	58	32	’s	’s	PART
ejpam-2620	58	33	learning	learning	PROPN
ejpam-2620	58	34	method	method	NOUN
ejpam-2620	58	35	diagnosing	diagnose	VERB
ejpam-2620	58	36	multiple	multiple	ADJ
ejpam-2620	58	37	sclerosis	sclerosis	NOUN
ejpam-2620	58	38	.	.	PUNCT
ejpam-2620	59	1	the	the	DET
ejpam-2620	59	2	performance	performance	NOUN
ejpam-2620	59	3	of	of	ADP
ejpam-2620	59	4	the	the	DET
ejpam-2620	59	5	neural	neural	ADJ
ejpam-2620	59	6	networks	network	NOUN
ejpam-2620	59	7	based	base	VERB
ejpam-2620	59	8	classifiers	classifier	NOUN
ejpam-2620	59	9	is	be	AUX
ejpam-2620	59	10	compared	compare	VERB
ejpam-2620	59	11	with	with	ADP
ejpam-2620	59	12	that	that	PRON
ejpam-2620	59	13	of	of	ADP
ejpam-2620	59	14	the	the	DET
ejpam-2620	59	15	human	human	ADJ
ejpam-2620	59	16	experts	expert	NOUN
ejpam-2620	59	17	and	and	CCONJ
ejpam-2620	59	18	the	the	DET
ejpam-2620	59	19	bayes	bayes	PROPN
ejpam-2620	59	20	classifier	classifier	NOUN
ejpam-2620	59	21	.	.	PUNCT
ejpam-2620	60	1	kohonen	kohonen	PROPN
ejpam-2620	60	2	learning	learning	NOUN
ejpam-2620	60	3	:	:	PUNCT
ejpam-2620	60	4	91.91	91.91	NUM
ejpam-2620	60	5	%	%	NOUN
ejpam-2620	60	6	bayesian	bayesian	NOUN
ejpam-2620	60	7	learning	learning	NOUN
ejpam-2620	60	8	:	:	PUNCT
ejpam-2620	60	9	96.01	96.01	NUM
ejpam-2620	60	10	%	%	NOUN
ejpam-2620	60	11	y.	y.	PROPN
ejpam-2620	60	12	karaca	karaca	PROPN
ejpam-2620	60	13	,	,	PUNCT
ejpam-2620	60	14	ş.	ş.	PROPN
ejpam-2620	60	15	hayta	hayta	PROPN
ejpam-2620	60	16	,	,	PUNCT
ejpam-2620	60	17	r.	r.	PROPN
ejpam-2620	60	18	karabudak	karabudak	PROPN
ejpam-2620	60	19	/	/	SYM
ejpam-2620	60	20	eur	eur	PROPN
ejpam-2620	60	21	.	.	PUNCT
ejpam-2620	61	1	j.	j.	PROPN
ejpam-2620	61	2	pure	pure	PROPN
ejpam-2620	61	3	appl	appl	PROPN
ejpam-2620	61	4	.	.	PROPN
ejpam-2620	61	5	math	math	PROPN
ejpam-2620	61	6	,	,	PUNCT
ejpam-2620	61	7	9	9	NUM
ejpam-2620	61	8	(	(	PUNCT
ejpam-2620	61	9	2016	2016	NUM
ejpam-2620	61	10	)	)	PUNCT
ejpam-2620	61	11	,	,	PUNCT
ejpam-2620	61	12	196	196	NUM
ejpam-2620	61	13	-	-	SYM
ejpam-2620	61	14	215	215	NUM
ejpam-2620	61	15	199	199	NUM
ejpam-2620	61	16	table	table	NOUN
ejpam-2620	61	17	2	2	NUM
ejpam-2620	61	18	:	:	PUNCT
ejpam-2620	61	19	literature	literature	NOUN
ejpam-2620	61	20	review	review	NOUN
ejpam-2620	61	21	on	on	ADP
ejpam-2620	61	22	ms	ms	PROPN
ejpam-2620	61	23	.	.	PROPN
ejpam-2620	61	24	researchers	researcher	NOUN
ejpam-2620	61	25	experiments	experiment	VERB
ejpam-2620	61	26	experimental	experimental	ADJ
ejpam-2620	61	27	results	result	NOUN
ejpam-2620	61	28	bergmasci	bergmasci	NOUN
ejpam-2620	61	29	,	,	PUNCT
ejpam-2620	61	30	et	et	PROPN
ejpam-2620	61	31	al	al	PROPN
ejpam-2620	61	32	.	.	PUNCT
ejpam-2620	62	1	[	[	X
ejpam-2620	62	2	6	6	NUM
ejpam-2620	62	3	]	]	PUNCT
ejpam-2620	62	4	bayesian	bayesian	NOUN
ejpam-2620	62	5	method	method	NOUN
ejpam-2620	62	6	was	be	AUX
ejpam-2620	62	7	used	use	VERB
ejpam-2620	62	8	for	for	ADP
ejpam-2620	62	9	the	the	DET
ejpam-2620	62	10	early	early	ADJ
ejpam-2620	62	11	prediction	prediction	NOUN
ejpam-2620	62	12	of	of	ADP
ejpam-2620	62	13	multiple	multiple	ADJ
ejpam-2620	62	14	sclerosis	sclerosis	NOUN
ejpam-2620	62	15	(	(	PUNCT
ejpam-2620	62	16	ms	ms	NOUN
ejpam-2620	62	17	)	)	PUNCT
ejpam-2620	62	18	in	in	ADP
ejpam-2620	62	19	the	the	DET
ejpam-2620	62	20	long	long	ADJ
ejpam-2620	62	21	-	-	PUNCT
ejpam-2620	62	22	term	term	NOUN
ejpam-2620	62	23	.	.	PUNCT
ejpam-2620	63	1	bayesian	bayesian	NOUN
ejpam-2620	63	2	risk	risk	NOUN
ejpam-2620	63	3	estimation	estimation	NOUN
ejpam-2620	63	4	score	score	NOUN
ejpam-2620	63	5	(	(	PUNCT
ejpam-2620	63	6	brems	brem	NOUN
ejpam-2620	63	7	)	)	PUNCT
ejpam-2620	63	8	was	be	AUX
ejpam-2620	63	9	calculated	calculate	VERB
ejpam-2620	63	10	for	for	ADP
ejpam-2620	63	11	each	each	DET
ejpam-2620	63	12	patient	patient	NOUN
ejpam-2620	63	13	in	in	ADP
ejpam-2620	63	14	the	the	DET
ejpam-2620	63	15	first	first	ADJ
ejpam-2620	63	16	year	year	NOUN
ejpam-2620	63	17	of	of	ADP
ejpam-2620	63	18	the	the	DET
ejpam-2620	63	19	disorder	disorder	NOUN
ejpam-2620	63	20	by	by	ADP
ejpam-2620	63	21	means	mean	NOUN
ejpam-2620	63	22	of	of	ADP
ejpam-2620	63	23	the	the	DET
ejpam-2620	63	24	bayesian	bayesian	NOUN
ejpam-2620	63	25	model	model	NOUN
ejpam-2620	63	26	used	use	VERB
ejpam-2620	63	27	here	here	ADV
ejpam-2620	63	28	.	.	PUNCT
ejpam-2620	64	1	brems	brem	NOUN
ejpam-2620	64	2	value	value	NOUN
ejpam-2620	64	3	:	:	PUNCT
ejpam-2620	64	4	sp	sp	NOUN
ejpam-2620	64	5	within	within	ADP
ejpam-2620	64	6	10	10	NUM
ejpam-2620	64	7	years	year	NOUN
ejpam-2620	64	8	compared	compare	VERB
ejpam-2620	64	9	with	with	ADP
ejpam-2620	64	10	1087	1087	NUM
ejpam-2620	64	11	progression	progression	NOUN
ejpam-2620	64	12	158	158	NUM
ejpam-2620	64	13	free	free	ADJ
ejpam-2620	64	14	patients	patient	NOUN
ejpam-2620	64	15	:	:	PUNCT
ejpam-2620	65	1	p	p	X
ejpam-2620	65	2	<	<	X
ejpam-2620	65	3	0.0001	0.0001	NUM
ejpam-2620	65	4	sp	sp	ADP
ejpam-2620	65	5	risk	risk	NOUN
ejpam-2620	65	6	in	in	ADP
ejpam-2620	65	7	the	the	DET
ejpam-2620	65	8	whole	whole	ADJ
ejpam-2620	65	9	cohort	cohort	NOUN
ejpam-2620	65	10	:	:	PUNCT
ejpam-2620	65	11	p	p	X
ejpam-2620	65	12	<	<	X
ejpam-2620	65	13	.0001	.0001	X
ejpam-2620	65	14	subgroup	subgroup	NOUN
ejpam-2620	65	15	of	of	ADP
ejpam-2620	65	16	535	535	NUM
ejpam-2620	65	17	patients	patient	NOUN
ejpam-2620	65	18	who	who	PRON
ejpam-2620	65	19	had	have	AUX
ejpam-2620	65	20	never	never	ADV
ejpam-2620	65	21	been	be	AUX
ejpam-2620	65	22	treated	treat	VERB
ejpam-2620	65	23	with	with	ADP
ejpam-2620	65	24	immune	immune	ADJ
ejpam-2620	65	25	therapies	therapy	NOUN
ejpam-2620	65	26	:	:	PUNCT
ejpam-2620	65	27	p	p	X
ejpam-2620	65	28	<	<	X
ejpam-2620	65	29	0.000001	0.000001	NUM
ejpam-2620	65	30	hirst	hirst	X
ejpam-2620	65	31	,	,	PUNCT
ejpam-2620	65	32	et	et	PROPN
ejpam-2620	65	33	al	al	PROPN
ejpam-2620	65	34	.	.	PUNCT
ejpam-2620	66	1	[	[	X
ejpam-2620	66	2	17	17	NUM
ejpam-2620	66	3	]	]	PUNCT
ejpam-2620	66	4	analyses	analysis	NOUN
ejpam-2620	66	5	of	of	ADP
ejpam-2620	66	6	t	t	NOUN
ejpam-2620	66	7	-	-	PUNCT
ejpam-2620	66	8	test	test	NOUN
ejpam-2620	66	9	and	and	CCONJ
ejpam-2620	66	10	chi	chi	PROPN
ejpam-2620	66	11	square	square	ADJ
ejpam-2620	66	12	tests	test	NOUN
ejpam-2620	66	13	were	be	AUX
ejpam-2620	66	14	compared	compare	VERB
ejpam-2620	66	15	in	in	ADP
ejpam-2620	66	16	order	order	NOUN
ejpam-2620	66	17	to	to	PART
ejpam-2620	66	18	predict	predict	VERB
ejpam-2620	66	19	the	the	DET
ejpam-2620	66	20	natural	natural	ADJ
ejpam-2620	66	21	course	course	NOUN
ejpam-2620	66	22	of	of	ADP
ejpam-2620	66	23	ms	ms	ADJ
ejpam-2620	66	24	disorder	disorder	NOUN
ejpam-2620	66	25	in	in	ADP
ejpam-2620	66	26	ms	ms	PROPN
ejpam-2620	66	27	patients	patient	NOUN
ejpam-2620	66	28	and	and	CCONJ
ejpam-2620	66	29	to	to	PART
ejpam-2620	66	30	understand	understand	VERB
ejpam-2620	66	31	the	the	DET
ejpam-2620	66	32	long	long	ADJ
ejpam-2620	66	33	term	term	NOUN
ejpam-2620	66	34	consequences	consequence	NOUN
ejpam-2620	66	35	.	.	PUNCT
ejpam-2620	67	1	mean	mean	VERB
ejpam-2620	67	2	edss	edss	ADJ
ejpam-2620	67	3	score	score	NOUN
ejpam-2620	67	4	in	in	ADP
ejpam-2620	67	5	1985	1985	NUM
ejpam-2620	67	6	:	:	PUNCT
ejpam-2620	67	7	5.15	5.15	NUM
ejpam-2620	67	8	(	(	PUNCT
ejpam-2620	67	9	sd	sd	NOUN
ejpam-2620	67	10	2.7	2.7	NUM
ejpam-2620	67	11	,	,	PUNCT
ejpam-2620	67	12	range	range	NOUN
ejpam-2620	67	13	0	0	NUM
ejpam-2620	67	14	-	-	SYM
ejpam-2620	67	15	9.5	9.5	NUM
ejpam-2620	67	16	)	)	PUNCT
ejpam-2620	67	17	and	and	CCONJ
ejpam-2620	67	18	8.01	8.01	NUM
ejpam-2620	67	19	(	(	PUNCT
ejpam-2620	67	20	sd	sd	ADP
ejpam-2620	67	21	2.6	2.6	NUM
ejpam-2620	67	22	,	,	PUNCT
ejpam-2620	67	23	range	range	NOUN
ejpam-2620	67	24	0	0	NUM
ejpam-2620	67	25	-	-	SYM
ejpam-2620	67	26	10	10	NUM
ejpam-2620	67	27	)	)	PUNCT
ejpam-2620	67	28	mean	mean	VERB
ejpam-2620	67	29	worsening	worsen	VERB
ejpam-2620	67	30	of	of	ADP
ejpam-2620	67	31	edss	edss	ADJ
ejpam-2620	67	32	scores	score	NOUN
ejpam-2620	67	33	in	in	ADP
ejpam-2620	67	34	surviving	survive	VERB
ejpam-2620	67	35	patients	patient	NOUN
ejpam-2620	67	36	was	be	AUX
ejpam-2620	67	37	+3.02	+3.02	NUM
ejpam-2620	67	38	edss	edss	ADJ
ejpam-2620	67	39	points	point	NOUN
ejpam-2620	67	40	,	,	PUNCT
ejpam-2620	67	41	61.4	61.4	NUM
ejpam-2620	67	42	%	%	NOUN
ejpam-2620	67	43	of	of	ADP
ejpam-2620	67	44	patients	patient	NOUN
ejpam-2620	67	45	with	with	ADP
ejpam-2620	67	46	edss	edss	ADJ
ejpam-2620	67	47	3.5	3.5	NUM
ejpam-2620	67	48	-	-	SYM
ejpam-2620	67	49	5.5	5.5	NUM
ejpam-2620	67	50	and	and	CCONJ
ejpam-2620	67	51	82.2	82.2	NUM
ejpam-2620	67	52	%	%	NOUN
ejpam-2620	67	53	of	of	ADP
ejpam-2620	67	54	those	those	PRON
ejpam-2620	67	55	with	with	ADP
ejpam-2620	67	56	an	an	DET
ejpam-2620	67	57	edss	edss	NOUN
ejpam-2620	67	58	of	of	ADP
ejpam-2620	67	59	≤	≤	ADJ
ejpam-2620	67	60	3	3	NUM
ejpam-2620	67	61	in	in	ADP
ejpam-2620	67	62	1985	1985	NUM
ejpam-2620	67	63	had	have	VERB
ejpam-2620	67	64	an	an	DET
ejpam-2620	67	65	edss	edss	NOUN
ejpam-2620	67	66	of	of	ADP
ejpam-2620	67	67	≥	≥	NOUN
ejpam-2620	67	68	6	6	NUM
ejpam-2620	67	69	after	after	ADP
ejpam-2620	67	70	20	20	NUM
ejpam-2620	67	71	years	year	NOUN
ejpam-2620	67	72	.	.	PUNCT
ejpam-2620	68	1	lower	low	ADJ
ejpam-2620	68	2	baseline	baseline	VERB
ejpam-2620	68	3	edss	edss	ADJ
ejpam-2620	68	4	scores	score	NOUN
ejpam-2620	68	5	(	(	PUNCT
ejpam-2620	68	6	p	p	X
ejpam-2620	68	7	<	<	X
ejpam-2620	68	8	0.0001	0.0001	NUM
ejpam-2620	68	9	)	)	PUNCT
ejpam-2620	68	10	,	,	PUNCT
ejpam-2620	68	11	higher	high	ADJ
ejpam-2620	68	12	pyramidal	pyramidal	ADJ
ejpam-2620	68	13	functional	functional	ADJ
ejpam-2620	68	14	system	system	NOUN
ejpam-2620	68	15	score	score	NOUN
ejpam-2620	68	16	(	(	PUNCT
ejpam-2620	68	17	p	p	NOUN
ejpam-2620	68	18	=	=	NOUN
ejpam-2620	68	19	0.02	0.02	NUM
ejpam-2620	68	20	)	)	PUNCT
ejpam-2620	68	21	and	and	CCONJ
ejpam-2620	68	22	a	a	DET
ejpam-2620	68	23	greater	great	ADJ
ejpam-2620	68	24	number	number	NOUN
ejpam-2620	68	25	of	of	ADP
ejpam-2620	68	26	functional	functional	ADJ
ejpam-2620	68	27	systems	system	NOUN
ejpam-2620	68	28	involved	involve	VERB
ejpam-2620	68	29	(	(	PUNCT
ejpam-2620	68	30	p	p	NOUN
ejpam-2620	68	31	=	=	NOUN
ejpam-2620	68	32	0.001	0.001	NUM
ejpam-2620	68	33	)	)	PUNCT
ejpam-2620	68	34	of	of	ADP
ejpam-2620	68	35	those	those	PRON
ejpam-2620	68	36	with	with	ADP
ejpam-2620	68	37	benign	benign	ADJ
ejpam-2620	68	38	disease	disease	NOUN
ejpam-2620	68	39	in	in	ADP
ejpam-2620	68	40	1985	1985	NUM
ejpam-2620	68	41	,	,	PUNCT
ejpam-2620	68	42	only	only	ADV
ejpam-2620	68	43	19	19	NUM
ejpam-2620	68	44	%	%	NOUN
ejpam-2620	68	45	remained	remain	VERB
ejpam-2620	68	46	benign	benign	ADJ
ejpam-2620	68	47	after	after	SCONJ
ejpam-2620	68	48	20	20	NUM
ejpam-2620	68	49	years	year	NOUN
ejpam-2620	68	50	of	of	ADP
ejpam-2620	68	51	follow	follow	NOUN
ejpam-2620	68	52	-	-	PUNCT
ejpam-2620	68	53	up	up	NOUN
ejpam-2620	68	54	12.6	12.6	NUM
ejpam-2620	68	55	%	%	NOUN
ejpam-2620	68	56	of	of	ADP
ejpam-2620	68	57	patients	patient	NOUN
ejpam-2620	68	58	had	have	VERB
ejpam-2620	68	59	minimal	minimal	ADJ
ejpam-2620	68	60	disability	disability	NOUN
ejpam-2620	68	61	after	after	ADP
ejpam-2620	68	62	at	at	ADP
ejpam-2620	68	63	least	least	ADV
ejpam-2620	68	64	20	20	NUM
ejpam-2620	68	65	years	year	NOUN
ejpam-2620	68	66	after	after	SCONJ
ejpam-2620	68	67	their	their	PRON
ejpam-2620	68	68	disease	disease	NOUN
ejpam-2620	68	69	onset	onset	VERB
ejpam-2620	68	70	and	and	CCONJ
ejpam-2620	68	71	14	14	NUM
ejpam-2620	68	72	%	%	NOUN
ejpam-2620	68	73	of	of	ADP
ejpam-2620	68	74	patients	patient	NOUN
ejpam-2620	68	75	failed	fail	VERB
ejpam-2620	68	76	to	to	PART
ejpam-2620	68	77	worsen	worsen	VERB
ejpam-2620	68	78	by	by	ADP
ejpam-2620	68	79	≥	≥	NUM
ejpam-2620	68	80	1	1	NUM
ejpam-2620	68	81	edss	edss	ADJ
ejpam-2620	68	82	point	point	NOUN
ejpam-2620	68	83	.	.	PUNCT
ejpam-2620	69	1	y.	y.	PROPN
ejpam-2620	69	2	karaca	karaca	PROPN
ejpam-2620	69	3	,	,	PUNCT
ejpam-2620	69	4	ş.	ş.	PROPN
ejpam-2620	69	5	hayta	hayta	PROPN
ejpam-2620	69	6	,	,	PUNCT
ejpam-2620	69	7	r.	r.	PROPN
ejpam-2620	69	8	karabudak	karabudak	PROPN
ejpam-2620	69	9	/	/	SYM
ejpam-2620	69	10	eur	eur	PROPN
ejpam-2620	69	11	.	.	PUNCT
ejpam-2620	70	1	j.	j.	PROPN
ejpam-2620	70	2	pure	pure	PROPN
ejpam-2620	70	3	appl	appl	PROPN
ejpam-2620	70	4	.	.	PROPN
ejpam-2620	70	5	math	math	PROPN
ejpam-2620	70	6	,	,	PUNCT
ejpam-2620	70	7	9	9	NUM
ejpam-2620	70	8	(	(	PUNCT
ejpam-2620	70	9	2016	2016	NUM
ejpam-2620	70	10	)	)	PUNCT
ejpam-2620	70	11	,	,	PUNCT
ejpam-2620	70	12	196	196	NUM
ejpam-2620	70	13	-	-	SYM
ejpam-2620	70	14	215	215	NUM
ejpam-2620	70	15	200	200	NUM
ejpam-2620	70	16	table	table	NOUN
ejpam-2620	70	17	2	2	NUM
ejpam-2620	70	18	:	:	PUNCT
ejpam-2620	70	19	literature	literature	NOUN
ejpam-2620	70	20	review	review	NOUN
ejpam-2620	70	21	on	on	ADP
ejpam-2620	70	22	ms	ms	PROPN
ejpam-2620	70	23	.	.	PROPN
ejpam-2620	70	24	researchers	researcher	NOUN
ejpam-2620	70	25	experiments	experiment	VERB
ejpam-2620	70	26	experimental	experimental	ADJ
ejpam-2620	70	27	results	result	NOUN
ejpam-2620	70	28	shahlaei	shahlaei	ADJ
ejpam-2620	70	29	,	,	PUNCT
ejpam-2620	70	30	et	et	PROPN
ejpam-2620	70	31	al	al	PROPN
ejpam-2620	70	32	.	.	PUNCT
ejpam-2620	71	1	[	[	X
ejpam-2620	71	2	33	33	NUM
ejpam-2620	71	3	]	]	PUNCT
ejpam-2620	71	4	using	use	VERB
ejpam-2620	71	5	data	datum	NOUN
ejpam-2620	71	6	belonging	belong	VERB
ejpam-2620	71	7	to	to	ADP
ejpam-2620	71	8	ms	ms	NOUN
ejpam-2620	71	9	patients	patient	NOUN
ejpam-2620	71	10	,	,	PUNCT
ejpam-2620	71	11	principal	principal	ADJ
ejpam-2620	71	12	components	component	NOUN
ejpam-2620	71	13	regression	regression	NOUN
ejpam-2620	71	14	(	(	PUNCT
ejpam-2620	71	15	pcr	pcr	NOUN
ejpam-2620	71	16	)	)	PUNCT
ejpam-2620	71	17	,	,	PUNCT
ejpam-2620	71	18	principal	principal	NOUN
ejpam-2620	71	19	components	component	NOUN
ejpam-2620	71	20	artificial	artificial	ADJ
ejpam-2620	71	21	neural	neural	ADJ
ejpam-2620	71	22	networks	network	NOUN
ejpam-2620	71	23	(	(	PUNCT
ejpam-2620	71	24	pc	pc	NOUN
ejpam-2620	71	25	-	-	PUNCT
ejpam-2620	71	26	ysa	ysa	NOUN
ejpam-2620	71	27	)	)	PUNCT
ejpam-2620	71	28	and	and	CCONJ
ejpam-2620	71	29	principal	principal	ADJ
ejpam-2620	71	30	components	component	NOUN
ejpam-2620	71	31	least	least	ADJ
ejpam-2620	71	32	squares	square	NOUN
ejpam-2620	71	33	support	support	NOUN
ejpam-2620	71	34	vector	vector	NOUN
ejpam-2620	71	35	machine	machine	NOUN
ejpam-2620	71	36	(	(	PUNCT
ejpam-2620	71	37	pc	pc	NOUN
ejpam-2620	71	38	-	-	PUNCT
ejpam-2620	71	39	ls	ls	ADJ
ejpam-2620	71	40	-	-	PUNCT
ejpam-2620	71	41	svm	svm	NOUN
ejpam-2620	71	42	)	)	PUNCT
ejpam-2620	71	43	were	be	AUX
ejpam-2620	71	44	examined	examine	VERB
ejpam-2620	71	45	with	with	ADP
ejpam-2620	71	46	regression	regression	NOUN
ejpam-2620	71	47	analyses	analysis	NOUN
ejpam-2620	71	48	.	.	PUNCT
ejpam-2620	72	1	pc	pc	NOUN
ejpam-2620	72	2	-	-	NOUN
ejpam-2620	72	3	ann	ann	NOUN
ejpam-2620	72	4	:	:	PUNCT
ejpam-2620	72	5	93.7	93.7	NUM
ejpam-2620	72	6	%	%	NOUN
ejpam-2620	72	7	pc	pc	NOUN
ejpam-2620	72	8	-	-	PUNCT
ejpam-2620	72	9	svm	svm	NOUN
ejpam-2620	72	10	:	:	PUNCT
ejpam-2620	72	11	95.6	95.6	NUM
ejpam-2620	72	12	%	%	NOUN
ejpam-2620	72	13	karaca	karaca	PROPN
ejpam-2620	72	14	,	,	PUNCT
ejpam-2620	72	15	et	et	PROPN
ejpam-2620	72	16	al	al	PROPN
ejpam-2620	72	17	.	.	PUNCT
ejpam-2620	73	1	[	[	X
ejpam-2620	73	2	28	28	NUM
ejpam-2620	73	3	]	]	X
ejpam-2620	73	4	mri	mri	NOUN
ejpam-2620	73	5	results	result	NOUN
ejpam-2620	73	6	are	be	AUX
ejpam-2620	73	7	evaluated	evaluate	VERB
ejpam-2620	73	8	by	by	ADP
ejpam-2620	73	9	examining	examine	VERB
ejpam-2620	73	10	probability	probability	NOUN
ejpam-2620	73	11	of	of	ADP
ejpam-2620	73	12	mean	mean	ADJ
ejpam-2620	73	13	echo	echo	NOUN
ejpam-2620	73	14	,	,	PUNCT
ejpam-2620	73	15	white	white	ADJ
ejpam-2620	73	16	matter	matter	NOUN
ejpam-2620	73	17	,	,	PUNCT
ejpam-2620	73	18	gray	gray	ADJ
ejpam-2620	73	19	matter	matter	NOUN
ejpam-2620	73	20	,	,	PUNCT
ejpam-2620	73	21	ventricular	ventricular	ADJ
ejpam-2620	73	22	csf	csf	PROPN
ejpam-2620	73	23	,	,	PUNCT
ejpam-2620	73	24	external	external	ADJ
ejpam-2620	73	25	cs	cs	PROPN
ejpam-2620	73	26	.	.	PROPN
ejpam-2620	73	27	diagnosis	diagnosis	NOUN
ejpam-2620	73	28	of	of	ADP
ejpam-2620	73	29	rrms	rrm	NOUN
ejpam-2620	73	30	,	,	PUNCT
ejpam-2620	73	31	spms	spm	NOUN
ejpam-2620	73	32	and	and	CCONJ
ejpam-2620	73	33	ppms	ppm	NOUN
ejpam-2620	73	34	disorder	disorder	NOUN
ejpam-2620	73	35	according	accord	VERB
ejpam-2620	73	36	to	to	ADP
ejpam-2620	73	37	mri1	mri1	PROPN
ejpam-2620	73	38	,	,	PUNCT
ejpam-2620	73	39	mri2	mri2	PROPN
ejpam-2620	73	40	,	,	PUNCT
ejpam-2620	73	41	mri3	mri3	PROPN
ejpam-2620	73	42	were	be	AUX
ejpam-2620	73	43	identified	identify	VERB
ejpam-2620	73	44	by	by	ADP
ejpam-2620	73	45	decision	decision	NOUN
ejpam-2620	73	46	tree	tree	NOUN
ejpam-2620	73	47	method	method	NOUN
ejpam-2620	73	48	.	.	PUNCT
ejpam-2620	74	1	mri	mri	NOUN
ejpam-2620	74	2	results	result	NOUN
ejpam-2620	74	3	were	be	AUX
ejpam-2620	74	4	evaluated	evaluate	VERB
ejpam-2620	74	5	by	by	ADP
ejpam-2620	74	6	examining	examine	VERB
ejpam-2620	74	7	the	the	DET
ejpam-2620	74	8	lesion	lesion	NOUN
ejpam-2620	74	9	counts	count	NOUN
ejpam-2620	74	10	and	and	CCONJ
ejpam-2620	74	11	edss	edss	ADJ
ejpam-2620	74	12	results	result	NOUN
ejpam-2620	74	13	according	accord	VERB
ejpam-2620	74	14	to	to	ADP
ejpam-2620	74	15	chi	chi	ADJ
ejpam-2620	74	16	-	-	PUNCT
ejpam-2620	74	17	square	square	ADJ
ejpam-2620	74	18	test	test	NOUN
ejpam-2620	74	19	of	of	ADP
ejpam-2620	74	20	indepence	indepence	PROPN
ejpam-2620	74	21	method	method	NOUN
ejpam-2620	74	22	.	.	PUNCT
ejpam-2620	75	1	decision	decision	NOUN
ejpam-2620	75	2	tree	tree	NOUN
ejpam-2620	75	3	accuracy	accuracy	NOUN
ejpam-2620	75	4	rate	rate	NOUN
ejpam-2620	75	5	:	:	PUNCT
ejpam-2620	75	6	mri1:89.36	mri1:89.36	NOUN
ejpam-2620	75	7	%	%	NOUN
ejpam-2620	75	8	mri2	mri2	PROPN
ejpam-2620	75	9	:	:	PUNCT
ejpam-2620	75	10	85.10	85.10	NUM
ejpam-2620	75	11	%	%	NOUN
ejpam-2620	75	12	mri3:93.61	mri3:93.61	NOUN
ejpam-2620	75	13	%	%	NOUN
ejpam-2620	75	14	the	the	DET
ejpam-2620	75	15	chi	chi	ADJ
ejpam-2620	75	16	-	-	PUNCT
ejpam-2620	75	17	square	square	ADJ
ejpam-2620	75	18	test	test	NOUN
ejpam-2620	75	19	of	of	ADP
ejpam-2620	75	20	independence	independence	NOUN
ejpam-2620	75	21	results	result	VERB
ejpam-2620	75	22	:	:	PUNCT
ejpam-2620	75	23	mri1:0.292	mri1:0.292	NUM
ejpam-2620	75	24	mri2:0.374	mri2:0.374	PROPN
ejpam-2620	75	25	mri3:0.097	mri3:0.097	PROPN
ejpam-2620	75	26	karaca	karaca	PROPN
ejpam-2620	75	27	et	et	PROPN
ejpam-2620	75	28	al	al	PROPN
ejpam-2620	75	29	.	.	PUNCT
ejpam-2620	76	1	[	[	X
ejpam-2620	76	2	24	24	NUM
ejpam-2620	76	3	]	]	PUNCT
ejpam-2620	76	4	120	120	NUM
ejpam-2620	76	5	ms	ms	ADJ
ejpam-2620	76	6	patients	patient	NOUN
ejpam-2620	76	7	and	and	CCONJ
ejpam-2620	76	8	19	19	NUM
ejpam-2620	76	9	healthy	healthy	ADJ
ejpam-2620	76	10	individuals	individual	NOUN
ejpam-2620	76	11	make	make	VERB
ejpam-2620	76	12	up	up	ADP
ejpam-2620	76	13	the	the	DET
ejpam-2620	76	14	dataset	dataset	NOUN
ejpam-2620	76	15	.	.	PUNCT
ejpam-2620	77	1	lesion	lesion	NOUN
ejpam-2620	77	2	data	datum	NOUN
ejpam-2620	77	3	from	from	ADP
ejpam-2620	77	4	mr	mr	PROPN
ejpam-2620	77	5	images	image	NOUN
ejpam-2620	77	6	and	and	CCONJ
ejpam-2620	77	7	edss	edss	ADJ
ejpam-2620	77	8	scores	score	NOUN
ejpam-2620	77	9	of	of	ADP
ejpam-2620	77	10	the	the	DET
ejpam-2620	77	11	patients	patient	NOUN
ejpam-2620	77	12	were	be	AUX
ejpam-2620	77	13	formed	form	VERB
ejpam-2620	77	14	as	as	ADP
ejpam-2620	77	15	the	the	DET
ejpam-2620	77	16	dataset	dataset	NOUN
ejpam-2620	77	17	for	for	ADP
ejpam-2620	77	18	the	the	DET
ejpam-2620	77	19	study	study	NOUN
ejpam-2620	77	20	.	.	PUNCT
ejpam-2620	78	1	dataset	dataset	NOUN
ejpam-2620	78	2	1	1	NUM
ejpam-2620	78	3	included	include	VERB
ejpam-2620	78	4	edss	edss	ADJ
ejpam-2620	78	5	scores	score	NOUN
ejpam-2620	78	6	and	and	CCONJ
ejpam-2620	78	7	lesion	lesion	NOUN
ejpam-2620	78	8	data	datum	NOUN
ejpam-2620	78	9	while	while	SCONJ
ejpam-2620	78	10	dataset	dataset	VERB
ejpam-2620	78	11	2	2	NUM
ejpam-2620	78	12	only	only	ADV
ejpam-2620	78	13	had	have	VERB
ejpam-2620	78	14	lesion	lesion	NOUN
ejpam-2620	78	15	data	datum	NOUN
ejpam-2620	78	16	.	.	PUNCT
ejpam-2620	79	1	by	by	ADP
ejpam-2620	79	2	applying	apply	VERB
ejpam-2620	79	3	learning	learn	VERB
ejpam-2620	79	4	vector	vector	NOUN
ejpam-2620	79	5	quantization	quantization	NOUN
ejpam-2620	79	6	,	,	PUNCT
ejpam-2620	79	7	feed	feed	VERB
ejpam-2620	79	8	forward	forward	ADV
ejpam-2620	79	9	back	back	ADV
ejpam-2620	79	10	propagation	propagation	NOUN
ejpam-2620	79	11	(	(	PUNCT
ejpam-2620	79	12	ffbp	ffbp	ADV
ejpam-2620	79	13	)	)	PUNCT
ejpam-2620	79	14	and	and	CCONJ
ejpam-2620	79	15	radial	radial	ADJ
ejpam-2620	79	16	basis	basis	NOUN
ejpam-2620	79	17	function	function	NOUN
ejpam-2620	79	18	(	(	PUNCT
ejpam-2620	79	19	rbf	rbf	PROPN
ejpam-2620	79	20	)	)	PUNCT
ejpam-2620	79	21	algorithms	algorithm	NOUN
ejpam-2620	79	22	in	in	ADP
ejpam-2620	79	23	artificial	artificial	ADJ
ejpam-2620	79	24	neural	neural	ADJ
ejpam-2620	79	25	networks	network	NOUN
ejpam-2620	79	26	on	on	ADP
ejpam-2620	79	27	dataset1	dataset1	NOUN
ejpam-2620	79	28	and	and	CCONJ
ejpam-2620	79	29	dataset	dataset	VERB
ejpam-2620	79	30	2	2	NUM
ejpam-2620	79	31	,	,	PUNCT
ejpam-2620	79	32	the	the	DET
ejpam-2620	79	33	accuracy	accuracy	NOUN
ejpam-2620	79	34	rate	rate	NOUN
ejpam-2620	79	35	for	for	ADP
ejpam-2620	79	36	classifying	classify	VERB
ejpam-2620	79	37	the	the	DET
ejpam-2620	79	38	subgroups	subgroup	NOUN
ejpam-2620	79	39	of	of	ADP
ejpam-2620	79	40	ms	ms	PROPN
ejpam-2620	79	41	was	be	AUX
ejpam-2620	79	42	obtained	obtain	VERB
ejpam-2620	79	43	.	.	PUNCT
ejpam-2620	80	1	as	as	ADP
ejpam-2620	80	2	a	a	DET
ejpam-2620	80	3	result	result	NOUN
ejpam-2620	80	4	of	of	ADP
ejpam-2620	80	5	the	the	DET
ejpam-2620	80	6	study	study	NOUN
ejpam-2620	80	7	,	,	PUNCT
ejpam-2620	80	8	the	the	DET
ejpam-2620	80	9	significance	significance	NOUN
ejpam-2620	80	10	of	of	ADP
ejpam-2620	80	11	edss	edss	ADV
ejpam-2620	80	12	in	in	ADP
ejpam-2620	80	13	terms	term	NOUN
ejpam-2620	80	14	of	of	ADP
ejpam-2620	80	15	accuracy	accuracy	NOUN
ejpam-2620	80	16	in	in	ADP
ejpam-2620	80	17	classifying	classify	VERB
ejpam-2620	80	18	the	the	DET
ejpam-2620	80	19	subgroups	subgroup	NOUN
ejpam-2620	80	20	of	of	ADP
ejpam-2620	80	21	ms	ms	PROPN
ejpam-2620	80	22	was	be	AUX
ejpam-2620	80	23	revealed	reveal	VERB
ejpam-2620	80	24	.	.	PUNCT
ejpam-2620	81	1	dataset1	dataset1	NOUN
ejpam-2620	81	2	:	:	PUNCT
ejpam-2620	82	1	lvq	lvq	NOUN
ejpam-2620	82	2	:	:	PUNCT
ejpam-2620	82	3	89	89	NUM
ejpam-2620	82	4	%	%	NOUN
ejpam-2620	82	5	ffbp	ffbp	NOUN
ejpam-2620	82	6	:	:	PUNCT
ejpam-2620	82	7	92.5	92.5	NUM
ejpam-2620	82	8	%	%	NOUN
ejpam-2620	82	9	rbf	rbf	PROPN
ejpam-2620	82	10	:	:	PUNCT
ejpam-2620	82	11	98.9	98.9	NUM
ejpam-2620	82	12	%	%	NOUN
ejpam-2620	82	13	dataset2	dataset2	NOUN
ejpam-2620	82	14	:	:	PUNCT
ejpam-2620	82	15	lvq	lvq	NOUN
ejpam-2620	82	16	:	:	PUNCT
ejpam-2620	82	17	91	91	NUM
ejpam-2620	82	18	%	%	NOUN
ejpam-2620	82	19	ffbp	ffbp	NOUN
ejpam-2620	82	20	:	:	PUNCT
ejpam-2620	82	21	96.75	96.75	NUM
ejpam-2620	82	22	%	%	NOUN
ejpam-2620	82	23	rbf	rbf	PROPN
ejpam-2620	82	24	:	:	PUNCT
ejpam-2620	82	25	99.9	99.9	NUM
ejpam-2620	82	26	%	%	NOUN
ejpam-2620	82	27	y.	y.	PROPN
ejpam-2620	82	28	karaca	karaca	PROPN
ejpam-2620	82	29	,	,	PUNCT
ejpam-2620	82	30	ş.	ş.	PROPN
ejpam-2620	82	31	hayta	hayta	PROPN
ejpam-2620	82	32	,	,	PUNCT
ejpam-2620	82	33	r.	r.	PROPN
ejpam-2620	82	34	karabudak	karabudak	PROPN
ejpam-2620	82	35	/	/	SYM
ejpam-2620	82	36	eur	eur	PROPN
ejpam-2620	82	37	.	.	PUNCT
ejpam-2620	83	1	j.	j.	PROPN
ejpam-2620	83	2	pure	pure	PROPN
ejpam-2620	83	3	appl	appl	PROPN
ejpam-2620	83	4	.	.	PROPN
ejpam-2620	83	5	math	math	PROPN
ejpam-2620	83	6	,	,	PUNCT
ejpam-2620	83	7	9	9	NUM
ejpam-2620	83	8	(	(	PUNCT
ejpam-2620	83	9	2016	2016	NUM
ejpam-2620	83	10	)	)	PUNCT
ejpam-2620	83	11	,	,	PUNCT
ejpam-2620	83	12	196	196	NUM
ejpam-2620	83	13	-	-	SYM
ejpam-2620	83	14	215	215	NUM
ejpam-2620	83	15	201	201	NUM
ejpam-2620	83	16	2	2	NUM
ejpam-2620	83	17	.	.	PUNCT
ejpam-2620	83	18	material	material	NOUN
ejpam-2620	83	19	and	and	CCONJ
ejpam-2620	83	20	methods	method	NOUN
ejpam-2620	83	21	2.1	2.1	NUM
ejpam-2620	83	22	.	.	PUNCT
ejpam-2620	84	1	patient	patient	ADJ
ejpam-2620	84	2	details	detail	NOUN
ejpam-2620	84	3	in	in	ADP
ejpam-2620	84	4	this	this	DET
ejpam-2620	84	5	study	study	NOUN
ejpam-2620	84	6	,	,	PUNCT
ejpam-2620	84	7	monitored	monitor	VERB
ejpam-2620	84	8	by	by	ADP
ejpam-2620	84	9	hacettepe	hacettepe	PROPN
ejpam-2620	84	10	university	university	NOUN
ejpam-2620	84	11	faculty	faculty	NOUN
ejpam-2620	84	12	of	of	ADP
ejpam-2620	84	13	medicine	medicine	NOUN
ejpam-2620	84	14	,	,	PUNCT
ejpam-2620	84	15	departments	department	NOUN
ejpam-2620	84	16	of	of	ADP
ejpam-2620	84	17	neurology	neurology	NOUN
ejpam-2620	84	18	and	and	CCONJ
ejpam-2620	84	19	radiology	radiology	NOUN
ejpam-2620	84	20	and	and	CCONJ
ejpam-2620	84	21	primary	primary	ADJ
ejpam-2620	84	22	mr	mr	PROPN
ejpam-2620	84	23	image	image	NOUN
ejpam-2620	84	24	center	center	NOUN
ejpam-2620	84	25	,	,	PUNCT
ejpam-2620	84	26	120	120	NUM
ejpam-2620	84	27	patients	patient	NOUN
ejpam-2620	84	28	with	with	ADP
ejpam-2620	84	29	a	a	DET
ejpam-2620	84	30	definite	definite	ADJ
ejpam-2620	84	31	ms	ms	NOUN
ejpam-2620	84	32	diagnosis	diagnosis	NOUN
ejpam-2620	84	33	based	base	VERB
ejpam-2620	84	34	on	on	ADP
ejpam-2620	84	35	the	the	DET
ejpam-2620	84	36	mcdonald	mcdonald	PROPN
ejpam-2620	84	37	criteria	criterion	NOUN
ejpam-2620	84	38	with	with	ADP
ejpam-2620	84	39	rrms	rrm	NOUN
ejpam-2620	84	40	,	,	PUNCT
ejpam-2620	84	41	spms	spm	NOUN
ejpam-2620	84	42	or	or	CCONJ
ejpam-2620	84	43	ppms	ppm	NOUN
ejpam-2620	84	44	were	be	AUX
ejpam-2620	84	45	enrolled	enrol	VERB
ejpam-2620	84	46	.	.	PUNCT
ejpam-2620	85	1	all	all	DET
ejpam-2620	85	2	patients	patient	NOUN
ejpam-2620	85	3	were	be	AUX
ejpam-2620	85	4	between	between	ADP
ejpam-2620	85	5	the	the	DET
ejpam-2620	85	6	ages	age	NOUN
ejpam-2620	85	7	of	of	ADP
ejpam-2620	85	8	20	20	NUM
ejpam-2620	85	9	and	and	CCONJ
ejpam-2620	85	10	55	55	NUM
ejpam-2620	85	11	.	.	PUNCT
ejpam-2620	86	1	level	level	NOUN
ejpam-2620	86	2	of	of	ADP
ejpam-2620	86	3	disability	disability	NOUN
ejpam-2620	86	4	in	in	ADP
ejpam-2620	86	5	patients	patient	NOUN
ejpam-2620	86	6	was	be	AUX
ejpam-2620	86	7	determined	determine	VERB
ejpam-2620	86	8	by	by	ADP
ejpam-2620	86	9	using	use	VERB
ejpam-2620	86	10	the	the	DET
ejpam-2620	86	11	extended	extended	ADJ
ejpam-2620	86	12	disability	disability	NOUN
ejpam-2620	86	13	status	status	NOUN
ejpam-2620	86	14	scale	scale	NOUN
ejpam-2620	86	15	(	(	PUNCT
ejpam-2620	86	16	edss	edss	ADV
ejpam-2620	86	17	)	)	PUNCT
ejpam-2620	86	18	.	.	PUNCT
ejpam-2620	87	1	mri	mri	NOUN
ejpam-2620	87	2	is	be	AUX
ejpam-2620	87	3	obtained	obtain	VERB
ejpam-2620	87	4	with	with	ADP
ejpam-2620	87	5	a	a	DET
ejpam-2620	87	6	1.5	1.5	NUM
ejpam-2620	87	7	tesla	tesla	NOUN
ejpam-2620	87	8	device	device	NOUN
ejpam-2620	87	9	(	(	PUNCT
ejpam-2620	87	10	magnetom	magnetom	NOUN
ejpam-2620	87	11	,	,	PUNCT
ejpam-2620	87	12	siemens	siemens	PROPN
ejpam-2620	87	13	medical	medical	PROPN
ejpam-2620	87	14	systems	system	NOUN
ejpam-2620	87	15	,	,	PUNCT
ejpam-2620	87	16	erlangen	erlangen	PROPN
ejpam-2620	87	17	,	,	PUNCT
ejpam-2620	87	18	germany	germany	PROPN
ejpam-2620	87	19	)	)	PUNCT
ejpam-2620	87	20	.	.	PUNCT
ejpam-2620	88	1	lesions	lesion	NOUN
ejpam-2620	88	2	on	on	ADP
ejpam-2620	88	3	t2	t2	NOUN
ejpam-2620	88	4	-	-	PUNCT
ejpam-2620	88	5	weighted	weight	VERB
ejpam-2620	88	6	turbo	turbo	NOUN
ejpam-2620	88	7	spin	spin	NOUN
ejpam-2620	88	8	-	-	PUNCT
ejpam-2620	88	9	echo	echo	NOUN
ejpam-2620	88	10	(	(	PUNCT
ejpam-2620	88	11	tse	tse	PROPN
ejpam-2620	88	12	)	)	PUNCT
ejpam-2620	88	13	sequences	sequence	NOUN
ejpam-2620	88	14	were	be	AUX
ejpam-2620	88	15	counted	count	VERB
ejpam-2620	88	16	in	in	ADP
ejpam-2620	88	17	metric	metric	ADJ
ejpam-2620	88	18	units	unit	NOUN
ejpam-2620	88	19	.	.	PUNCT
ejpam-2620	89	1	the	the	DET
ejpam-2620	89	2	brain	brain	NOUN
ejpam-2620	89	3	stem	stem	NOUN
ejpam-2620	89	4	,	,	PUNCT
ejpam-2620	89	5	corpus	corpus	NOUN
ejpam-2620	89	6	callosum	callosum	NOUN
ejpam-2620	89	7	-	-	PUNCT
ejpam-2620	89	8	periventricular	periventricular	ADJ
ejpam-2620	89	9	region	region	NOUN
ejpam-2620	89	10	,	,	PUNCT
ejpam-2620	89	11	including	include	VERB
ejpam-2620	89	12	the	the	DET
ejpam-2620	89	13	upper	upper	ADJ
ejpam-2620	89	14	cervical	cervical	ADJ
ejpam-2620	89	15	lesions	lesion	NOUN
ejpam-2620	89	16	in	in	ADP
ejpam-2620	89	17	the	the	DET
ejpam-2620	89	18	three	three	NUM
ejpam-2620	89	19	regions	region	NOUN
ejpam-2620	89	20	were	be	AUX
ejpam-2620	89	21	included	include	VERB
ejpam-2620	89	22	in	in	ADP
ejpam-2620	89	23	the	the	DET
ejpam-2620	89	24	information	information	NOUN
ejpam-2620	89	25	.	.	PUNCT
ejpam-2620	90	1	magnetic	magnetic	ADJ
ejpam-2620	90	2	resonance	resonance	NOUN
ejpam-2620	90	3	read	read	VERB
ejpam-2620	90	4	for	for	ADP
ejpam-2620	90	5	three	three	NUM
ejpam-2620	90	6	regions	region	NOUN
ejpam-2620	90	7	lesion	lesion	NOUN
ejpam-2620	90	8	in	in	ADP
ejpam-2620	90	9	the	the	DET
ejpam-2620	90	10	years	year	NOUN
ejpam-2620	90	11	to	to	ADP
ejpam-2620	90	12	the	the	DET
ejpam-2620	90	13	information	information	NOUN
ejpam-2620	90	14	changes	change	NOUN
ejpam-2620	90	15	(	(	PUNCT
ejpam-2620	90	16	number	number	NOUN
ejpam-2620	90	17	of	of	ADP
ejpam-2620	90	18	increments	increment	NOUN
ejpam-2620	90	19	/	/	SYM
ejpam-2620	90	20	reductions	reduction	NOUN
ejpam-2620	90	21	in	in	ADP
ejpam-2620	90	22	size	size	NOUN
ejpam-2620	90	23	)	)	PUNCT
ejpam-2620	90	24	were	be	AUX
ejpam-2620	90	25	compared	compare	VERB
ejpam-2620	90	26	based	base	VERB
ejpam-2620	90	27	on	on	ADP
ejpam-2620	90	28	the	the	DET
ejpam-2620	90	29	edss	edss	ADJ
ejpam-2620	90	30	scores	score	NOUN
ejpam-2620	90	31	of	of	ADP
ejpam-2620	90	32	years	year	NOUN
ejpam-2620	90	33	and	and	CCONJ
ejpam-2620	90	34	changes	change	NOUN
ejpam-2620	90	35	within	within	ADP
ejpam-2620	90	36	the	the	DET
ejpam-2620	90	37	clinical	clinical	ADJ
ejpam-2620	90	38	diagnostics	diagnostic	NOUN
ejpam-2620	90	39	were	be	AUX
ejpam-2620	90	40	compared	compare	VERB
ejpam-2620	90	41	with	with	ADP
ejpam-2620	90	42	ms	ms	PROPN
ejpam-2620	90	43	.	.	PROPN
ejpam-2620	90	44	while	while	SCONJ
ejpam-2620	90	45	observing	observe	VERB
ejpam-2620	90	46	the	the	DET
ejpam-2620	90	47	duration	duration	NOUN
ejpam-2620	90	48	of	of	ADP
ejpam-2620	90	49	the	the	DET
ejpam-2620	90	50	disease	disease	NOUN
ejpam-2620	90	51	,	,	PUNCT
ejpam-2620	90	52	there	there	PRON
ejpam-2620	90	53	were	be	VERB
ejpam-2620	90	54	minimum	minimum	ADJ
ejpam-2620	90	55	three	three	NUM
ejpam-2620	90	56	years	year	NOUN
ejpam-2620	90	57	between	between	ADP
ejpam-2620	90	58	the	the	DET
ejpam-2620	90	59	first	first	ADJ
ejpam-2620	90	60	and	and	CCONJ
ejpam-2620	90	61	second	second	ADJ
ejpam-2620	90	62	mri	mri	NOUN
ejpam-2620	90	63	scans	scan	NOUN
ejpam-2620	90	64	and	and	CCONJ
ejpam-2620	90	65	there	there	PRON
ejpam-2620	90	66	were	be	VERB
ejpam-2620	90	67	maximum	maximum	ADJ
ejpam-2620	90	68	8	8	NUM
ejpam-2620	90	69	or	or	CCONJ
ejpam-2620	90	70	10	10	NUM
ejpam-2620	90	71	years	year	NOUN
ejpam-2620	90	72	between	between	ADP
ejpam-2620	90	73	the	the	DET
ejpam-2620	90	74	second	second	ADJ
ejpam-2620	90	75	and	and	CCONJ
ejpam-2620	90	76	third	third	ADJ
ejpam-2620	90	77	and	and	CCONJ
ejpam-2620	90	78	mri	mri	NOUN
ejpam-2620	90	79	scans	scan	NOUN
ejpam-2620	90	80	.	.	PUNCT
ejpam-2620	91	1	the	the	DET
ejpam-2620	91	2	outcomes	outcome	NOUN
ejpam-2620	91	3	of	of	ADP
ejpam-2620	91	4	the	the	DET
ejpam-2620	91	5	ms	ms	PROPN
ejpam-2620	91	6	patients	patient	NOUN
ejpam-2620	91	7	have	have	AUX
ejpam-2620	91	8	been	be	AUX
ejpam-2620	91	9	identified	identify	VERB
ejpam-2620	91	10	(	(	PUNCT
ejpam-2620	91	11	associated	associate	VERB
ejpam-2620	91	12	)	)	PUNCT
ejpam-2620	91	13	through	through	ADP
ejpam-2620	91	14	edss	edss	ADJ
ejpam-2620	91	15	scores	score	NOUN
ejpam-2620	91	16	by	by	ADP
ejpam-2620	91	17	a	a	DET
ejpam-2620	91	18	neurologist	neurologist	NOUN
ejpam-2620	91	19	using	use	VERB
ejpam-2620	91	20	mri	mri	NOUN
ejpam-2620	91	21	results	result	NOUN
ejpam-2620	91	22	[	[	X
ejpam-2620	91	23	23	23	NUM
ejpam-2620	91	24	,	,	PUNCT
ejpam-2620	91	25	24	24	NUM
ejpam-2620	91	26	,	,	PUNCT
ejpam-2620	91	27	26	26	NUM
ejpam-2620	91	28	,	,	PUNCT
ejpam-2620	91	29	27	27	NUM
ejpam-2620	91	30	]	]	PUNCT
ejpam-2620	91	31	.	.	PUNCT
ejpam-2620	92	1	2.2	2.2	NUM
ejpam-2620	92	2	.	.	PUNCT
ejpam-2620	92	3	expanded	expand	VERB
ejpam-2620	92	4	disability	disability	NOUN
ejpam-2620	92	5	status	status	NOUN
ejpam-2620	92	6	scale	scale	NOUN
ejpam-2620	92	7	expanded	expand	VERB
ejpam-2620	92	8	disability	disability	NOUN
ejpam-2620	92	9	scale	scale	NOUN
ejpam-2620	92	10	(	(	PUNCT
ejpam-2620	92	11	edss	edss	ADV
ejpam-2620	92	12	)	)	PUNCT
ejpam-2620	92	13	is	be	AUX
ejpam-2620	92	14	partly	partly	ADV
ejpam-2620	92	15	based	base	VERB
ejpam-2620	92	16	on	on	ADP
ejpam-2620	92	17	the	the	DET
ejpam-2620	92	18	measurements	measurement	NOUN
ejpam-2620	92	19	of	of	ADP
ejpam-2620	92	20	eight	eight	NUM
ejpam-2620	92	21	regions	region	NOUN
ejpam-2620	92	22	known	know	VERB
ejpam-2620	92	23	as	as	ADP
ejpam-2620	92	24	functional	functional	ADJ
ejpam-2620	92	25	system	system	NOUN
ejpam-2620	92	26	in	in	ADP
ejpam-2620	92	27	the	the	DET
ejpam-2620	92	28	central	central	ADJ
ejpam-2620	92	29	nervous	nervous	ADJ
ejpam-2620	92	30	system	system	NOUN
ejpam-2620	92	31	.	.	PUNCT
ejpam-2620	93	1	first	first	ADV
ejpam-2620	93	2	,	,	PUNCT
ejpam-2620	93	3	the	the	DET
ejpam-2620	93	4	scale	scale	NOUN
ejpam-2620	93	5	measures	measure	VERB
ejpam-2620	93	6	the	the	DET
ejpam-2620	93	7	temporary	temporary	ADJ
ejpam-2620	93	8	numbness	numbness	NOUN
ejpam-2620	93	9	in	in	ADP
ejpam-2620	93	10	the	the	DET
ejpam-2620	93	11	face	face	NOUN
ejpam-2620	93	12	or	or	CCONJ
ejpam-2620	93	13	fingers	finger	NOUN
ejpam-2620	93	14	or	or	CCONJ
ejpam-2620	93	15	degrees	degree	NOUN
ejpam-2620	93	16	of	of	ADP
ejpam-2620	93	17	impairment	impairment	NOUN
ejpam-2620	93	18	such	such	ADJ
ejpam-2620	93	19	as	as	ADP
ejpam-2620	93	20	visual	visual	ADJ
ejpam-2620	93	21	impairment	impairment	NOUN
ejpam-2620	93	22	.	.	PUNCT
ejpam-2620	94	1	and	and	CCONJ
ejpam-2620	94	2	then	then	ADV
ejpam-2620	94	3	,	,	PUNCT
ejpam-2620	94	4	by	by	ADP
ejpam-2620	94	5	using	use	VERB
ejpam-2620	94	6	walking	walking	NOUN
ejpam-2620	94	7	distance	distance	NOUN
ejpam-2620	94	8	,	,	PUNCT
ejpam-2620	94	9	it	it	PRON
ejpam-2620	94	10	measures	measure	VERB
ejpam-2620	94	11	the	the	DET
ejpam-2620	94	12	disability	disability	NOUN
ejpam-2620	94	13	in	in	ADP
ejpam-2620	94	14	terms	term	NOUN
ejpam-2620	94	15	of	of	ADP
ejpam-2620	94	16	mobility	mobility	NOUN
ejpam-2620	94	17	[	[	X
ejpam-2620	94	18	26	26	NUM
ejpam-2620	94	19	]	]	PUNCT
ejpam-2620	94	20	.	.	PUNCT
ejpam-2620	95	1	functional	functional	ADJ
ejpam-2620	95	2	systems	system	NOUN
ejpam-2620	95	3	measured	measure	VERB
ejpam-2620	95	4	with	with	ADP
ejpam-2620	95	5	edss	edss	ADV
ejpam-2620	95	6	:	:	PUNCT
ejpam-2620	95	7	(	(	PUNCT
ejpam-2620	95	8	i	i	NOUN
ejpam-2620	95	9	)	)	PUNCT
ejpam-2620	95	10	pyramidal	pyramidal	NOUN
ejpam-2620	95	11	:	:	PUNCT
ejpam-2620	95	12	voluntary	voluntary	ADJ
ejpam-2620	95	13	movements	movement	NOUN
ejpam-2620	95	14	(	(	PUNCT
ejpam-2620	95	15	ii	ii	NOUN
ejpam-2620	95	16	)	)	PUNCT
ejpam-2620	95	17	brain	brain	NOUN
ejpam-2620	95	18	stem	stem	NOUN
ejpam-2620	95	19	:	:	PUNCT
ejpam-2620	95	20	eye	eye	NOUN
ejpam-2620	95	21	movements	movement	NOUN
ejpam-2620	95	22	,	,	PUNCT
ejpam-2620	95	23	senses	sense	NOUN
ejpam-2620	95	24	,	,	PUNCT
ejpam-2620	95	25	face	face	VERB
ejpam-2620	95	26	movements	movement	NOUN
ejpam-2620	95	27	,	,	PUNCT
ejpam-2620	95	28	functions	function	NOUN
ejpam-2620	95	29	like	like	ADP
ejpam-2620	95	30	swallowing	swallow	VERB
ejpam-2620	95	31	(	(	PUNCT
ejpam-2620	95	32	iii	iii	NOUN
ejpam-2620	95	33	)	)	PUNCT
ejpam-2620	95	34	vision	vision	NOUN
ejpam-2620	95	35	(	(	PUNCT
ejpam-2620	95	36	iv	iv	X
ejpam-2620	95	37	)	)	PUNCT
ejpam-2620	95	38	brain	brain	NOUN
ejpam-2620	95	39	:	:	PUNCT
ejpam-2620	95	40	memory	memory	NOUN
ejpam-2620	95	41	,	,	PUNCT
ejpam-2620	95	42	concentration	concentration	NOUN
ejpam-2620	95	43	,	,	PUNCT
ejpam-2620	95	44	temperament	temperament	NOUN
ejpam-2620	95	45	(	(	PUNCT
ejpam-2620	95	46	v	v	NOUN
ejpam-2620	95	47	)	)	PUNCT
ejpam-2620	95	48	cerebellum	cerebellum	ADJ
ejpam-2620	95	49	:	:	PUNCT
ejpam-2620	95	50	balance	balance	NOUN
ejpam-2620	95	51	and	and	CCONJ
ejpam-2620	95	52	coordination	coordination	NOUN
ejpam-2620	95	53	of	of	ADP
ejpam-2620	95	54	movements	movement	NOUN
ejpam-2620	95	55	(	(	PUNCT
ejpam-2620	95	56	vi	vi	NOUN
ejpam-2620	95	57	)	)	PUNCT
ejpam-2620	95	58	sense	sense	NOUN
ejpam-2620	95	59	(	(	PUNCT
ejpam-2620	95	60	vii	vii	PROPN
ejpam-2620	95	61	)	)	PUNCT
ejpam-2620	95	62	bowel	bowel	NOUN
ejpam-2620	95	63	and	and	CCONJ
ejpam-2620	95	64	bladder	bladder	NOUN
ejpam-2620	95	65	(	(	PUNCT
ejpam-2620	95	66	viii	viii	NOUN
ejpam-2620	95	67	)	)	PUNCT
ejpam-2620	95	68	others	other	NOUN
ejpam-2620	95	69	:	:	PUNCT
ejpam-2620	95	70	including	include	VERB
ejpam-2620	95	71	fatigue	fatigue	NOUN
ejpam-2620	95	72	y.	y.	PROPN
ejpam-2620	95	73	karaca	karaca	PROPN
ejpam-2620	95	74	,	,	PUNCT
ejpam-2620	95	75	ş.	ş.	PROPN
ejpam-2620	95	76	hayta	hayta	PROPN
ejpam-2620	95	77	,	,	PUNCT
ejpam-2620	95	78	r.	r.	PROPN
ejpam-2620	95	79	karabudak	karabudak	PROPN
ejpam-2620	95	80	/	/	SYM
ejpam-2620	95	81	eur	eur	PROPN
ejpam-2620	95	82	.	.	PUNCT
ejpam-2620	96	1	j.	j.	PROPN
ejpam-2620	96	2	pure	pure	PROPN
ejpam-2620	96	3	appl	appl	PROPN
ejpam-2620	96	4	.	.	PROPN
ejpam-2620	96	5	math	math	PROPN
ejpam-2620	96	6	,	,	PUNCT
ejpam-2620	96	7	9	9	NUM
ejpam-2620	96	8	(	(	PUNCT
ejpam-2620	96	9	2016	2016	NUM
ejpam-2620	96	10	)	)	PUNCT
ejpam-2620	96	11	,	,	PUNCT
ejpam-2620	96	12	196	196	NUM
ejpam-2620	96	13	-	-	SYM
ejpam-2620	96	14	215	215	NUM
ejpam-2620	96	15	202	202	NUM
ejpam-2620	96	16	table	table	NOUN
ejpam-2620	96	17	3	3	NUM
ejpam-2620	96	18	:	:	PUNCT
ejpam-2620	96	19	description	description	NOUN
ejpam-2620	96	20	of	of	ADP
ejpam-2620	96	21	edss	edss	ADJ
ejpam-2620	96	22	scores	score	NOUN
ejpam-2620	96	23	.	.	PUNCT
ejpam-2620	97	1	[	[	X
ejpam-2620	97	2	6	6	NUM
ejpam-2620	97	3	,	,	PUNCT
ejpam-2620	97	4	12	12	NUM
ejpam-2620	97	5	,	,	PUNCT
ejpam-2620	97	6	26	26	NUM
ejpam-2620	97	7	]	]	PUNCT
ejpam-2620	97	8	score	score	NOUN
ejpam-2620	97	9	description	description	NOUN
ejpam-2620	97	10	1.0	1.0	NUM
ejpam-2620	97	11	no	no	DET
ejpam-2620	97	12	disability	disability	NOUN
ejpam-2620	97	13	,	,	PUNCT
ejpam-2620	97	14	minimal	minimal	ADJ
ejpam-2620	97	15	signs	sign	NOUN
ejpam-2620	97	16	in	in	ADP
ejpam-2620	97	17	one	one	NUM
ejpam-2620	97	18	fs	fs	ADP
ejpam-2620	97	19	1.5	1.5	NUM
ejpam-2620	97	20	no	no	DET
ejpam-2620	97	21	disability	disability	NOUN
ejpam-2620	97	22	,	,	PUNCT
ejpam-2620	97	23	minimal	minimal	ADJ
ejpam-2620	97	24	signs	sign	NOUN
ejpam-2620	97	25	in	in	ADP
ejpam-2620	97	26	more	more	ADJ
ejpam-2620	97	27	than	than	ADP
ejpam-2620	97	28	one	one	NUM
ejpam-2620	97	29	fs	fs	ADP
ejpam-2620	97	30	2.0	2.0	NUM
ejpam-2620	97	31	minimal	minimal	ADJ
ejpam-2620	97	32	disability	disability	NOUN
ejpam-2620	97	33	in	in	ADP
ejpam-2620	97	34	one	one	NUM
ejpam-2620	97	35	fs	fs	ADP
ejpam-2620	97	36	2.5	2.5	NUM
ejpam-2620	97	37	mild	mild	ADJ
ejpam-2620	97	38	disability	disability	NOUN
ejpam-2620	97	39	in	in	ADP
ejpam-2620	97	40	one	one	NUM
ejpam-2620	97	41	fs	f	NOUN
ejpam-2620	97	42	or	or	CCONJ
ejpam-2620	97	43	minimal	minimal	ADJ
ejpam-2620	97	44	disability	disability	NOUN
ejpam-2620	97	45	in	in	ADP
ejpam-2620	97	46	two	two	NUM
ejpam-2620	97	47	fs	fs	ADP
ejpam-2620	97	48	3.0	3.0	NUM
ejpam-2620	97	49	moderate	moderate	ADJ
ejpam-2620	97	50	disability	disability	NOUN
ejpam-2620	97	51	in	in	ADP
ejpam-2620	97	52	one	one	NUM
ejpam-2620	97	53	fs	f	NOUN
ejpam-2620	97	54	,	,	PUNCT
ejpam-2620	97	55	or	or	CCONJ
ejpam-2620	97	56	mild	mild	ADJ
ejpam-2620	97	57	disability	disability	NOUN
ejpam-2620	97	58	in	in	ADP
ejpam-2620	97	59	three	three	NUM
ejpam-2620	97	60	or	or	CCONJ
ejpam-2620	97	61	four	four	NUM
ejpam-2620	97	62	fs	f	NOUN
ejpam-2620	97	63	.	.	PUNCT
ejpam-2620	98	1	no	no	DET
ejpam-2620	98	2	impairment	impairment	NOUN
ejpam-2620	98	3	to	to	ADP
ejpam-2620	98	4	walking	walk	VERB
ejpam-2620	98	5	3.5	3.5	NUM
ejpam-2620	98	6	moderate	moderate	ADJ
ejpam-2620	98	7	disability	disability	NOUN
ejpam-2620	98	8	in	in	ADP
ejpam-2620	98	9	one	one	NUM
ejpam-2620	98	10	fs	f	NOUN
ejpam-2620	98	11	and	and	CCONJ
ejpam-2620	98	12	more	more	ADJ
ejpam-2620	98	13	than	than	ADP
ejpam-2620	98	14	minimal	minimal	ADJ
ejpam-2620	98	15	disability	disability	NOUN
ejpam-2620	98	16	several	several	ADJ
ejpam-2620	98	17	others	other	NOUN
ejpam-2620	98	18	.	.	PUNCT
ejpam-2620	99	1	no	no	DET
ejpam-2620	99	2	impairment	impairment	NOUN
ejpam-2620	99	3	to	to	ADP
ejpam-2620	99	4	walking	walk	VERB
ejpam-2620	99	5	4.0	4.0	NUM
ejpam-2620	99	6	significant	significant	ADJ
ejpam-2620	99	7	disability	disability	NOUN
ejpam-2620	99	8	but	but	CCONJ
ejpam-2620	99	9	self	self	NOUN
ejpam-2620	99	10	-	-	PUNCT
ejpam-2620	99	11	sufficient	sufficient	ADJ
ejpam-2620	99	12	and	and	CCONJ
ejpam-2620	99	13	up	up	ADV
ejpam-2620	99	14	and	and	CCONJ
ejpam-2620	99	15	about	about	ADV
ejpam-2620	99	16	some	some	DET
ejpam-2620	99	17	12	12	NUM
ejpam-2620	99	18	hours	hour	NOUN
ejpam-2620	99	19	a	a	DET
ejpam-2620	99	20	day	day	NOUN
ejpam-2620	99	21	.	.	PUNCT
ejpam-2620	100	1	able	able	ADJ
ejpam-2620	100	2	to	to	PART
ejpam-2620	100	3	walk	walk	VERB
ejpam-2620	100	4	without	without	ADP
ejpam-2620	100	5	aid	aid	NOUN
ejpam-2620	100	6	or	or	CCONJ
ejpam-2620	100	7	rest	rest	VERB
ejpam-2620	100	8	for	for	ADP
ejpam-2620	100	9	500	500	NUM
ejpam-2620	100	10	m	m	NOUN
ejpam-2620	100	11	4.5	4.5	NUM
ejpam-2620	100	12	significant	significant	ADJ
ejpam-2620	100	13	disability	disability	NOUN
ejpam-2620	100	14	but	but	CCONJ
ejpam-2620	100	15	up	up	ADV
ejpam-2620	100	16	and	and	CCONJ
ejpam-2620	100	17	about	about	ADV
ejpam-2620	100	18	much	much	ADJ
ejpam-2620	100	19	of	of	ADP
ejpam-2620	100	20	the	the	DET
ejpam-2620	100	21	day	day	NOUN
ejpam-2620	100	22	,	,	PUNCT
ejpam-2620	100	23	able	able	ADJ
ejpam-2620	100	24	to	to	PART
ejpam-2620	100	25	work	work	VERB
ejpam-2620	100	26	a	a	DET
ejpam-2620	100	27	full	full	ADJ
ejpam-2620	100	28	day	day	NOUN
ejpam-2620	100	29	,	,	PUNCT
ejpam-2620	100	30	may	may	AUX
ejpam-2620	100	31	otherwise	otherwise	ADV
ejpam-2620	100	32	have	have	VERB
ejpam-2620	100	33	some	some	DET
ejpam-2620	100	34	limitation	limitation	NOUN
ejpam-2620	100	35	of	of	ADP
ejpam-2620	100	36	full	full	ADJ
ejpam-2620	100	37	activity	activity	NOUN
ejpam-2620	100	38	or	or	CCONJ
ejpam-2620	100	39	require	require	VERB
ejpam-2620	100	40	minimal	minimal	ADJ
ejpam-2620	100	41	assistance	assistance	NOUN
ejpam-2620	100	42	.	.	PUNCT
ejpam-2620	101	1	able	able	ADJ
ejpam-2620	101	2	to	to	PART
ejpam-2620	101	3	walk	walk	VERB
ejpam-2620	101	4	without	without	ADP
ejpam-2620	101	5	aid	aid	NOUN
ejpam-2620	101	6	or	or	CCONJ
ejpam-2620	101	7	rest	rest	VERB
ejpam-2620	101	8	for	for	ADP
ejpam-2620	101	9	300	300	NUM
ejpam-2620	101	10	m	m	NOUN
ejpam-2620	101	11	5.0	5.0	NUM
ejpam-2620	101	12	disability	disability	NOUN
ejpam-2620	101	13	severe	severe	ADJ
ejpam-2620	101	14	enough	enough	ADV
ejpam-2620	101	15	to	to	PART
ejpam-2620	101	16	impair	impair	VERB
ejpam-2620	101	17	full	full	ADJ
ejpam-2620	101	18	daily	daily	ADJ
ejpam-2620	101	19	activities	activity	NOUN
ejpam-2620	101	20	and	and	CCONJ
ejpam-2620	101	21	ability	ability	NOUN
ejpam-2620	101	22	to	to	PART
ejpam-2620	101	23	work	work	VERB
ejpam-2620	101	24	a	a	DET
ejpam-2620	101	25	full	full	ADJ
ejpam-2620	101	26	day	day	NOUN
ejpam-2620	101	27	without	without	ADP
ejpam-2620	101	28	special	special	ADJ
ejpam-2620	101	29	provisions	provision	NOUN
ejpam-2620	101	30	.	.	PUNCT
ejpam-2620	102	1	able	able	ADJ
ejpam-2620	102	2	to	to	PART
ejpam-2620	102	3	walk	walk	VERB
ejpam-2620	102	4	without	without	ADP
ejpam-2620	102	5	aid	aid	NOUN
ejpam-2620	102	6	or	or	CCONJ
ejpam-2620	102	7	rest	rest	VERB
ejpam-2620	102	8	for	for	ADP
ejpam-2620	102	9	200	200	NUM
ejpam-2620	102	10	m	m	PROPN
ejpam-2620	102	11	5.5	5.5	NUM
ejpam-2620	102	12	disability	disability	NOUN
ejpam-2620	102	13	severe	severe	ADJ
ejpam-2620	102	14	enough	enough	ADV
ejpam-2620	102	15	to	to	PART
ejpam-2620	102	16	preclude	preclude	VERB
ejpam-2620	102	17	full	full	ADJ
ejpam-2620	102	18	daily	daily	ADJ
ejpam-2620	102	19	activities	activity	NOUN
ejpam-2620	102	20	.	.	PUNCT
ejpam-2620	103	1	able	able	ADJ
ejpam-2620	103	2	to	to	PART
ejpam-2620	103	3	walk	walk	VERB
ejpam-2620	103	4	without	without	ADP
ejpam-2620	103	5	aid	aid	NOUN
ejpam-2620	103	6	or	or	CCONJ
ejpam-2620	103	7	rest	rest	VERB
ejpam-2620	103	8	for	for	ADP
ejpam-2620	103	9	100	100	NUM
ejpam-2620	103	10	m	m	NUM
ejpam-2620	103	11	6.0	6.0	NUM
ejpam-2620	103	12	requires	require	VERB
ejpam-2620	103	13	a	a	DET
ejpam-2620	103	14	walking	walk	VERB
ejpam-2620	103	15	aid	aid	NOUN
ejpam-2620	103	16	cane	cane	NOUN
ejpam-2620	103	17	,	,	PUNCT
ejpam-2620	103	18	crutch	crutch	NOUN
ejpam-2620	103	19	,	,	PUNCT
ejpam-2620	103	20	etc	etc	X
ejpam-2620	103	21	to	to	PART
ejpam-2620	103	22	walk	walk	VERB
ejpam-2620	103	23	about	about	ADV
ejpam-2620	103	24	100	100	NUM
ejpam-2620	103	25	m	m	NOUN
ejpam-2620	103	26	with	with	ADP
ejpam-2620	103	27	or	or	CCONJ
ejpam-2620	103	28	without	without	ADP
ejpam-2620	103	29	resting	rest	VERB
ejpam-2620	103	30	6.5	6.5	NUM
ejpam-2620	103	31	requires	require	VERB
ejpam-2620	103	32	two	two	NUM
ejpam-2620	103	33	walking	walk	VERB
ejpam-2620	103	34	aids	aid	NOUN
ejpam-2620	103	35	pair	pair	NOUN
ejpam-2620	103	36	of	of	ADP
ejpam-2620	103	37	canes	cane	NOUN
ejpam-2620	103	38	,	,	PUNCT
ejpam-2620	103	39	crutches	crutch	NOUN
ejpam-2620	103	40	,	,	PUNCT
ejpam-2620	103	41	etc	etc	X
ejpam-2620	103	42	to	to	PART
ejpam-2620	103	43	walk	walk	VERB
ejpam-2620	103	44	about	about	ADV
ejpam-2620	103	45	20	20	NUM
ejpam-2620	103	46	m	m	NOUN
ejpam-2620	103	47	without	without	ADP
ejpam-2620	103	48	resting	rest	VERB
ejpam-2620	103	49	7.0	7.0	NUM
ejpam-2620	103	50	unable	unable	ADJ
ejpam-2620	103	51	to	to	PART
ejpam-2620	103	52	walk	walk	VERB
ejpam-2620	103	53	beyond	beyond	ADP
ejpam-2620	103	54	approximately	approximately	ADV
ejpam-2620	103	55	5	5	NUM
ejpam-2620	103	56	m	m	PRON
ejpam-2620	103	57	even	even	ADV
ejpam-2620	103	58	with	with	ADP
ejpam-2620	103	59	aid	aid	NOUN
ejpam-2620	103	60	.	.	PUNCT
ejpam-2620	104	1	essentially	essentially	ADV
ejpam-2620	104	2	restricted	restrict	VERB
ejpam-2620	104	3	to	to	ADP
ejpam-2620	104	4	wheelchair	wheelchair	NOUN
ejpam-2620	104	5	;	;	PUNCT
ejpam-2620	104	6	though	though	SCONJ
ejpam-2620	104	7	wheels	wheel	NOUN
ejpam-2620	104	8	self	self	NOUN
ejpam-2620	104	9	in	in	ADP
ejpam-2620	104	10	standard	standard	ADJ
ejpam-2620	104	11	wheelchair	wheelchair	NOUN
ejpam-2620	104	12	and	and	CCONJ
ejpam-2620	104	13	transfers	transfer	NOUN
ejpam-2620	104	14	alone	alone	ADV
ejpam-2620	104	15	.	.	PUNCT
ejpam-2620	105	1	up	up	ADV
ejpam-2620	105	2	and	and	CCONJ
ejpam-2620	105	3	about	about	ADP
ejpam-2620	105	4	in	in	ADP
ejpam-2620	105	5	wheelchair	wheelchair	NOUN
ejpam-2620	105	6	some	some	DET
ejpam-2620	105	7	12	12	NUM
ejpam-2620	105	8	hours	hour	NOUN
ejpam-2620	105	9	a	a	DET
ejpam-2620	105	10	day	day	NOUN
ejpam-2620	105	11	7.5	7.5	NUM
ejpam-2620	105	12	unable	unable	ADJ
ejpam-2620	105	13	to	to	PART
ejpam-2620	105	14	take	take	VERB
ejpam-2620	105	15	more	more	ADJ
ejpam-2620	105	16	than	than	ADP
ejpam-2620	105	17	a	a	DET
ejpam-2620	105	18	few	few	ADJ
ejpam-2620	105	19	steps	step	NOUN
ejpam-2620	105	20	.	.	PUNCT
ejpam-2620	106	1	restricted	restrict	VERB
ejpam-2620	106	2	to	to	ADP
ejpam-2620	106	3	wheelchair	wheelchair	NOUN
ejpam-2620	106	4	and	and	CCONJ
ejpam-2620	106	5	may	may	AUX
ejpam-2620	106	6	need	need	VERB
ejpam-2620	106	7	aid	aid	NOUN
ejpam-2620	106	8	in	in	ADP
ejpam-2620	106	9	transferring	transferring	NOUN
ejpam-2620	106	10	.	.	PUNCT
ejpam-2620	107	1	can	can	AUX
ejpam-2620	107	2	wheel	wheel	VERB
ejpam-2620	107	3	self	self	NOUN
ejpam-2620	107	4	but	but	CCONJ
ejpam-2620	107	5	can	can	AUX
ejpam-2620	107	6	not	not	PART
ejpam-2620	107	7	carry	carry	VERB
ejpam-2620	107	8	on	on	ADP
ejpam-2620	107	9	in	in	ADP
ejpam-2620	107	10	standard	standard	ADJ
ejpam-2620	107	11	wheelchair	wheelchair	NOUN
ejpam-2620	107	12	for	for	ADP
ejpam-2620	107	13	a	a	DET
ejpam-2620	107	14	full	full	ADJ
ejpam-2620	107	15	day	day	NOUN
ejpam-2620	107	16	and	and	CCONJ
ejpam-2620	107	17	may	may	AUX
ejpam-2620	107	18	require	require	VERB
ejpam-2620	107	19	a	a	DET
ejpam-2620	107	20	motorized	motorize	VERB
ejpam-2620	107	21	wheelchair	wheelchair	NOUN
ejpam-2620	107	22	8.0	8.0	NUM
ejpam-2620	107	23	essentially	essentially	ADV
ejpam-2620	107	24	restricted	restrict	VERB
ejpam-2620	107	25	to	to	ADP
ejpam-2620	107	26	bed	bed	NOUN
ejpam-2620	107	27	or	or	CCONJ
ejpam-2620	107	28	chair	chair	NOUN
ejpam-2620	107	29	or	or	CCONJ
ejpam-2620	107	30	pushed	push	VERB
ejpam-2620	107	31	in	in	ADP
ejpam-2620	107	32	wheelchair	wheelchair	NOUN
ejpam-2620	107	33	.	.	PUNCT
ejpam-2620	108	1	may	may	AUX
ejpam-2620	108	2	be	be	AUX
ejpam-2620	108	3	out	out	ADP
ejpam-2620	108	4	of	of	ADP
ejpam-2620	108	5	bed	bed	NOUN
ejpam-2620	108	6	itself	itself	PRON
ejpam-2620	108	7	much	much	ADJ
ejpam-2620	108	8	of	of	ADP
ejpam-2620	108	9	the	the	DET
ejpam-2620	108	10	day	day	NOUN
ejpam-2620	108	11	.	.	PUNCT
ejpam-2620	109	1	retains	retain	VERB
ejpam-2620	109	2	many	many	ADJ
ejpam-2620	109	3	self	self	NOUN
ejpam-2620	109	4	-	-	PUNCT
ejpam-2620	109	5	care	care	NOUN
ejpam-2620	109	6	functions	function	NOUN
ejpam-2620	109	7	.	.	PUNCT
ejpam-2620	110	1	generally	generally	ADV
ejpam-2620	110	2	has	have	VERB
ejpam-2620	110	3	effective	effective	ADJ
ejpam-2620	110	4	use	use	NOUN
ejpam-2620	110	5	of	of	ADP
ejpam-2620	110	6	arms	arm	NOUN
ejpam-2620	110	7	8.5	8.5	NUM
ejpam-2620	110	8	essentially	essentially	ADV
ejpam-2620	110	9	restricted	restrict	VERB
ejpam-2620	110	10	to	to	ADP
ejpam-2620	110	11	bed	bed	NOUN
ejpam-2620	110	12	much	much	ADJ
ejpam-2620	110	13	of	of	ADP
ejpam-2620	110	14	day	day	NOUN
ejpam-2620	110	15	.	.	PUNCT
ejpam-2620	111	1	has	have	AUX
ejpam-2620	111	2	some	some	DET
ejpam-2620	111	3	effective	effective	ADJ
ejpam-2620	111	4	use	use	NOUN
ejpam-2620	111	5	of	of	ADP
ejpam-2620	111	6	arms	arm	NOUN
ejpam-2620	111	7	retains	retain	VERB
ejpam-2620	111	8	some	some	DET
ejpam-2620	111	9	self	self	NOUN
ejpam-2620	111	10	-	-	PUNCT
ejpam-2620	111	11	care	care	NOUN
ejpam-2620	111	12	functions	function	NOUN
ejpam-2620	111	13	9.0	9.0	NUM
ejpam-2620	111	14	confined	confine	VERB
ejpam-2620	111	15	to	to	ADP
ejpam-2620	111	16	bed	bed	NOUN
ejpam-2620	111	17	.	.	PUNCT
ejpam-2620	112	1	can	can	AUX
ejpam-2620	112	2	still	still	ADV
ejpam-2620	112	3	communicate	communicate	VERB
ejpam-2620	112	4	and	and	CCONJ
ejpam-2620	112	5	eat	eat	VERB
ejpam-2620	112	6	.	.	PUNCT
ejpam-2620	113	1	9.5	9.5	NUM
ejpam-2620	113	2	confined	confine	VERB
ejpam-2620	113	3	to	to	ADP
ejpam-2620	113	4	bed	bed	NOUN
ejpam-2620	113	5	and	and	CCONJ
ejpam-2620	113	6	totally	totally	ADV
ejpam-2620	113	7	dependent	dependent	ADJ
ejpam-2620	113	8	.	.	PUNCT
ejpam-2620	114	1	unable	unable	ADJ
ejpam-2620	114	2	to	to	PART
ejpam-2620	114	3	communicate	communicate	VERB
ejpam-2620	114	4	or	or	CCONJ
ejpam-2620	114	5	eat	eat	VERB
ejpam-2620	114	6	/	/	SYM
ejpam-2620	114	7	swallow	swallow	NOUN
ejpam-2620	114	8	10.0	10.0	NUM
ejpam-2620	114	9	death	death	NOUN
ejpam-2620	114	10	due	due	ADP
ejpam-2620	114	11	to	to	ADP
ejpam-2620	114	12	ms	ms	NOUN
ejpam-2620	114	13	[	[	X
ejpam-2620	114	14	12	12	NUM
ejpam-2620	114	15	,	,	PUNCT
ejpam-2620	114	16	26	26	NUM
ejpam-2620	114	17	]	]	PUNCT
ejpam-2620	114	18	according	accord	VERB
ejpam-2620	114	19	to	to	ADP
ejpam-2620	114	20	table	table	NOUN
ejpam-2620	114	21	3	3	NUM
ejpam-2620	114	22	,	,	PUNCT
ejpam-2620	114	23	these	these	DET
ejpam-2620	114	24	systems	system	NOUN
ejpam-2620	114	25	are	be	AUX
ejpam-2620	114	26	rated	rate	VERB
ejpam-2620	114	27	according	accord	VERB
ejpam-2620	114	28	to	to	ADP
ejpam-2620	114	29	the	the	DET
ejpam-2620	114	30	degree	degree	NOUN
ejpam-2620	114	31	of	of	ADP
ejpam-2620	114	32	the	the	DET
ejpam-2620	114	33	impairment	impairment	NOUN
ejpam-2620	114	34	.	.	PUNCT
ejpam-2620	115	1	these	these	DET
ejpam-2620	115	2	y.	y.	PROPN
ejpam-2620	115	3	karaca	karaca	PROPN
ejpam-2620	115	4	,	,	PUNCT
ejpam-2620	115	5	ş.	ş.	PROPN
ejpam-2620	115	6	hayta	hayta	PROPN
ejpam-2620	115	7	,	,	PUNCT
ejpam-2620	115	8	r.	r.	PROPN
ejpam-2620	115	9	karabudak	karabudak	PROPN
ejpam-2620	115	10	/	/	SYM
ejpam-2620	115	11	eur	eur	PROPN
ejpam-2620	115	12	.	.	PUNCT
ejpam-2620	116	1	j.	j.	PROPN
ejpam-2620	116	2	pure	pure	PROPN
ejpam-2620	116	3	appl	appl	PROPN
ejpam-2620	116	4	.	.	PROPN
ejpam-2620	116	5	math	math	PROPN
ejpam-2620	116	6	,	,	PUNCT
ejpam-2620	116	7	9	9	NUM
ejpam-2620	116	8	(	(	PUNCT
ejpam-2620	116	9	2016	2016	NUM
ejpam-2620	116	10	)	)	PUNCT
ejpam-2620	116	11	,	,	PUNCT
ejpam-2620	116	12	196	196	NUM
ejpam-2620	116	13	-	-	SYM
ejpam-2620	116	14	215	215	NUM
ejpam-2620	116	15	203	203	NUM
ejpam-2620	116	16	degrees	degree	NOUN
ejpam-2620	116	17	can	can	AUX
ejpam-2620	116	18	be	be	AUX
ejpam-2620	116	19	0	0	NUM
ejpam-2620	116	20	for	for	ADP
ejpam-2620	116	21	normal	normal	ADJ
ejpam-2620	116	22	condition	condition	NOUN
ejpam-2620	116	23	and	and	CCONJ
ejpam-2620	116	24	may	may	AUX
ejpam-2620	116	25	rise	rise	VERB
ejpam-2620	116	26	up	up	ADV
ejpam-2620	116	27	to	to	ADP
ejpam-2620	116	28	5	5	NUM
ejpam-2620	116	29	or	or	CCONJ
ejpam-2620	116	30	6	6	NUM
ejpam-2620	116	31	for	for	ADP
ejpam-2620	116	32	conditions	condition	NOUN
ejpam-2620	116	33	where	where	SCONJ
ejpam-2620	116	34	the	the	DET
ejpam-2620	116	35	impairment	impairment	NOUN
ejpam-2620	116	36	is	be	AUX
ejpam-2620	116	37	highest	high	ADJ
ejpam-2620	116	38	.	.	PUNCT
ejpam-2620	117	1	by	by	ADP
ejpam-2620	117	2	adding	add	VERB
ejpam-2620	117	3	the	the	DET
ejpam-2620	117	4	movement	movement	NOUN
ejpam-2620	117	5	and	and	CCONJ
ejpam-2620	117	6	daily	daily	ADJ
ejpam-2620	117	7	life	life	NOUN
ejpam-2620	117	8	limitations	limitation	NOUN
ejpam-2620	117	9	to	to	ADP
ejpam-2620	117	10	these	these	DET
ejpam-2620	117	11	functional	functional	ADJ
ejpam-2620	117	12	system	system	NOUN
ejpam-2620	117	13	degrees	degree	NOUN
ejpam-2620	117	14	,	,	PUNCT
ejpam-2620	117	15	we	we	PRON
ejpam-2620	117	16	defined	define	VERB
ejpam-2620	117	17	the	the	DET
ejpam-2620	117	18	20	20	NUM
ejpam-2620	117	19	steps	step	NOUN
ejpam-2620	117	20	of	of	ADP
ejpam-2620	117	21	edss	edss	NOUN
ejpam-2620	118	1	[	[	X
ejpam-2620	118	2	21	21	NUM
ejpam-2620	118	3	]	]	PUNCT
ejpam-2620	118	4	.	.	PUNCT
ejpam-2620	119	1	the	the	DET
ejpam-2620	119	2	edss	edss	ADJ
ejpam-2620	119	3	quantifies	quantifie	NOUN
ejpam-2620	119	4	disability	disability	NOUN
ejpam-2620	119	5	in	in	ADP
ejpam-2620	119	6	eight	eight	NUM
ejpam-2620	119	7	functional	functional	ADJ
ejpam-2620	119	8	systems	system	NOUN
ejpam-2620	119	9	(	(	PUNCT
ejpam-2620	119	10	fs	fs	PROPN
ejpam-2620	119	11	)	)	PUNCT
ejpam-2620	119	12	and	and	CCONJ
ejpam-2620	119	13	allows	allow	VERB
ejpam-2620	119	14	neurologists	neurologist	NOUN
ejpam-2620	119	15	to	to	PART
ejpam-2620	119	16	assign	assign	VERB
ejpam-2620	119	17	a	a	DET
ejpam-2620	119	18	functional	functional	ADJ
ejpam-2620	119	19	system	system	NOUN
ejpam-2620	119	20	score	score	NOUN
ejpam-2620	119	21	(	(	PUNCT
ejpam-2620	119	22	fss	fss	NOUN
ejpam-2620	119	23	)	)	PUNCT
ejpam-2620	119	24	in	in	ADP
ejpam-2620	119	25	each	each	PRON
ejpam-2620	119	26	of	of	ADP
ejpam-2620	119	27	these	these	DET
ejpam-2620	119	28	data	datum	NOUN
ejpam-2620	119	29	are	be	AUX
ejpam-2620	119	30	applied	apply	VERB
ejpam-2620	119	31	by	by	ADP
ejpam-2620	119	32	tanagra	tanagra	ADJ
ejpam-2620	119	33	software	software	NOUN
ejpam-2620	119	34	[	[	X
ejpam-2620	119	35	12	12	NUM
ejpam-2620	119	36	,	,	PUNCT
ejpam-2620	119	37	26	26	NUM
ejpam-2620	119	38	]	]	PUNCT
ejpam-2620	119	39	.	.	PUNCT
ejpam-2620	120	1	2.3	2.3	NUM
ejpam-2620	120	2	.	.	PUNCT
ejpam-2620	120	3	magnetic	magnetic	ADJ
ejpam-2620	120	4	resonance	resonance	NOUN
ejpam-2620	120	5	imaging	imaging	NOUN
ejpam-2620	120	6	(	(	PUNCT
ejpam-2620	120	7	mri	mri	NOUN
ejpam-2620	120	8	)	)	PUNCT
ejpam-2620	120	9	mr	mr	PROPN
ejpam-2620	120	10	scanner	scanner	NOUN
ejpam-2620	120	11	utilizes	utilize	VERB
ejpam-2620	120	12	strong	strong	ADJ
ejpam-2620	120	13	magnetic	magnetic	ADJ
ejpam-2620	120	14	fields	field	NOUN
ejpam-2620	120	15	to	to	PART
ejpam-2620	120	16	yield	yield	VERB
ejpam-2620	120	17	the	the	DET
ejpam-2620	120	18	view	view	NOUN
ejpam-2620	120	19	of	of	ADP
ejpam-2620	120	20	the	the	DET
ejpam-2620	120	21	brain	brain	NOUN
ejpam-2620	120	22	and	and	CCONJ
ejpam-2620	120	23	spinal	spinal	ADJ
ejpam-2620	120	24	cord	cord	NOUN
ejpam-2620	120	25	.	.	PUNCT
ejpam-2620	121	1	an	an	DET
ejpam-2620	121	2	mr	mr	PROPN
ejpam-2620	121	3	image	image	NOUN
ejpam-2620	121	4	can	can	AUX
ejpam-2620	121	5	reveal	reveal	VERB
ejpam-2620	121	6	inflammatory	inflammatory	ADJ
ejpam-2620	121	7	or	or	CCONJ
ejpam-2620	121	8	damaged	damage	VERB
ejpam-2620	121	9	tissue	tissue	NOUN
ejpam-2620	121	10	regions	region	NOUN
ejpam-2620	121	11	in	in	ADP
ejpam-2620	121	12	the	the	DET
ejpam-2620	121	13	central	central	ADJ
ejpam-2620	121	14	nervous	nervous	ADJ
ejpam-2620	121	15	system	system	NOUN
ejpam-2620	121	16	[	[	X
ejpam-2620	121	17	16	16	NUM
ejpam-2620	121	18	,	,	PUNCT
ejpam-2620	121	19	22	22	NUM
ejpam-2620	121	20	]	]	PUNCT
ejpam-2620	121	21	.	.	PUNCT
ejpam-2620	122	1	figure	figure	NOUN
ejpam-2620	122	2	1a	1a	PROPN
ejpam-2620	122	3	presents	present	VERB
ejpam-2620	122	4	an	an	DET
ejpam-2620	122	5	mr	mr	PROPN
ejpam-2620	122	6	image	image	NOUN
ejpam-2620	122	7	of	of	ADP
ejpam-2620	122	8	a	a	DET
ejpam-2620	122	9	healthy	healthy	ADJ
ejpam-2620	122	10	individual	individual	NOUN
ejpam-2620	122	11	while	while	SCONJ
ejpam-2620	122	12	figure	figure	NOUN
ejpam-2620	122	13	1b	1b	PROPN
ejpam-2620	122	14	shows	show	VERB
ejpam-2620	122	15	the	the	DET
ejpam-2620	122	16	mr	mr	PROPN
ejpam-2620	122	17	image	image	NOUN
ejpam-2620	122	18	of	of	ADP
ejpam-2620	122	19	an	an	DET
ejpam-2620	122	20	ms	ms	NOUN
ejpam-2620	122	21	patient	patient	NOUN
ejpam-2620	123	1	[	[	X
ejpam-2620	123	2	23	23	NUM
ejpam-2620	123	3	,	,	PUNCT
ejpam-2620	123	4	26	26	NUM
ejpam-2620	123	5	]	]	PUNCT
ejpam-2620	123	6	.	.	PUNCT
ejpam-2620	124	1	lesion	lesion	NOUN
ejpam-2620	124	2	numbers	number	NOUN
ejpam-2620	124	3	in	in	ADP
ejpam-2620	124	4	the	the	DET
ejpam-2620	124	5	mr	mr	PROPN
ejpam-2620	124	6	image	image	NOUN
ejpam-2620	124	7	of	of	ADP
ejpam-2620	124	8	patients	patient	NOUN
ejpam-2620	124	9	taken	take	VERB
ejpam-2620	124	10	by	by	ADP
ejpam-2620	124	11	a	a	DET
ejpam-2620	124	12	radiologist	radiologist	NOUN
ejpam-2620	124	13	at	at	ADP
ejpam-2620	124	14	regular	regular	ADJ
ejpam-2620	124	15	intervals	interval	NOUN
ejpam-2620	124	16	have	have	AUX
ejpam-2620	124	17	been	be	AUX
ejpam-2620	124	18	used	use	VERB
ejpam-2620	124	19	for	for	ADP
ejpam-2620	124	20	the	the	DET
ejpam-2620	124	21	study	study	NOUN
ejpam-2620	124	22	.	.	PUNCT
ejpam-2620	125	1	(	(	PUNCT
ejpam-2620	125	2	a	a	X
ejpam-2620	125	3	)	)	PUNCT
ejpam-2620	125	4	healthy	healthy	ADJ
ejpam-2620	125	5	patient	patient	NOUN
ejpam-2620	125	6	[	[	X
ejpam-2620	125	7	23	23	NUM
ejpam-2620	125	8	,	,	PUNCT
ejpam-2620	125	9	26	26	NUM
ejpam-2620	125	10	]	]	PUNCT
ejpam-2620	125	11	(	(	PUNCT
ejpam-2620	125	12	b	b	X
ejpam-2620	125	13	)	)	PUNCT
ejpam-2620	125	14	ms	ms	NOUN
ejpam-2620	125	15	patient	patient	NOUN
ejpam-2620	126	1	[	[	X
ejpam-2620	126	2	23	23	NUM
ejpam-2620	126	3	,	,	PUNCT
ejpam-2620	126	4	26	26	NUM
ejpam-2620	126	5	]	]	PUNCT
ejpam-2620	126	6	figure	figure	NOUN
ejpam-2620	126	7	1	1	NUM
ejpam-2620	126	8	:	:	PUNCT
ejpam-2620	126	9	mr	mr	PROPN
ejpam-2620	126	10	images	image	NOUN
ejpam-2620	126	11	of	of	ADP
ejpam-2620	126	12	patient	patient	NOUN
ejpam-2620	126	13	’s	’s	PART
ejpam-2620	126	14	brains	brain	NOUN
ejpam-2620	126	15	in	in	ADP
ejpam-2620	126	16	this	this	DET
ejpam-2620	126	17	study	study	NOUN
ejpam-2620	126	18	,	,	PUNCT
ejpam-2620	126	19	we	we	PRON
ejpam-2620	126	20	used	use	VERB
ejpam-2620	126	21	the	the	DET
ejpam-2620	126	22	number	number	NOUN
ejpam-2620	126	23	of	of	ADP
ejpam-2620	126	24	lesions	lesion	NOUN
ejpam-2620	126	25	according	accord	VERB
ejpam-2620	126	26	to	to	ADP
ejpam-2620	126	27	the	the	DET
ejpam-2620	126	28	locations	location	NOUN
ejpam-2620	126	29	of	of	ADP
ejpam-2620	126	30	the	the	DET
ejpam-2620	126	31	brain	brain	NOUN
ejpam-2620	126	32	,	,	PUNCT
ejpam-2620	126	33	and	and	CCONJ
ejpam-2620	126	34	edss	edss	ADJ
ejpam-2620	126	35	score	score	NOUN
ejpam-2620	126	36	for	for	ADP
ejpam-2620	126	37	modeling	modeling	NOUN
ejpam-2620	126	38	in	in	ADP
ejpam-2620	126	39	table	table	NOUN
ejpam-2620	126	40	4	4	NUM
ejpam-2620	126	41	.	.	PUNCT
ejpam-2620	126	42	table	table	NOUN
ejpam-2620	126	43	4	4	NUM
ejpam-2620	126	44	:	:	PUNCT
ejpam-2620	126	45	feature	feature	NOUN
ejpam-2620	126	46	extracted	extract	VERB
ejpam-2620	126	47	from	from	ADP
ejpam-2620	126	48	mr	mr	PROPN
ejpam-2620	126	49	images	image	NOUN
ejpam-2620	126	50	and	and	CCONJ
ejpam-2620	126	51	representation	representation	NOUN
ejpam-2620	126	52	of	of	ADP
ejpam-2620	126	53	classes	class	NOUN
ejpam-2620	126	54	and	and	CCONJ
ejpam-2620	126	55	edss	edss	ADV
ejpam-2620	126	56	.	.	PUNCT
ejpam-2620	127	1	feature	feature	NOUN
ejpam-2620	127	2	explanation	explanation	NOUN
ejpam-2620	127	3	explanation	explanation	NOUN
ejpam-2620	127	4	edss	edss	ADV
ejpam-2620	127	5	ranges	range	VERB
ejpam-2620	127	6	between	between	ADP
ejpam-2620	127	7	1	1	NUM
ejpam-2620	127	8	and	and	CCONJ
ejpam-2620	127	9	10	10	NUM
ejpam-2620	127	10	rrms	rrm	NOUN
ejpam-2620	127	11	integer	integer	NOUN
ejpam-2620	127	12	number	number	NOUN
ejpam-2620	127	13	(	(	PUNCT
ejpam-2620	127	14	0	0	NUM
ejpam-2620	127	15	)	)	PUNCT
ejpam-2620	127	16	ppms	ppm	NOUN
ejpam-2620	127	17	integer	integer	NOUN
ejpam-2620	127	18	number	number	NOUN
ejpam-2620	127	19	(	(	PUNCT
ejpam-2620	127	20	-1	-1	PUNCT
ejpam-2620	127	21	)	)	PUNCT
ejpam-2620	127	22	spms	spm	NOUN
ejpam-2620	127	23	integer	integer	NOUN
ejpam-2620	127	24	number	number	NOUN
ejpam-2620	127	25	(	(	PUNCT
ejpam-2620	127	26	1	1	NUM
ejpam-2620	127	27	)	)	PUNCT
ejpam-2620	127	28	lesions	lesion	NOUN
ejpam-2620	127	29	the	the	DET
ejpam-2620	127	30	number	number	NOUN
ejpam-2620	127	31	of	of	ADP
ejpam-2620	127	32	lesion	lesion	NOUN
ejpam-2620	127	33	diameter	diameter	NOUN
ejpam-2620	127	34	that	that	PRON
ejpam-2620	127	35	has	have	AUX
ejpam-2620	127	36	formed	form	VERB
ejpam-2620	127	37	in	in	ADP
ejpam-2620	127	38	three	three	NUM
ejpam-2620	127	39	different	different	ADJ
ejpam-2620	127	40	parts	part	NOUN
ejpam-2620	127	41	of	of	ADP
ejpam-2620	127	42	the	the	DET
ejpam-2620	127	43	brain	brain	NOUN
ejpam-2620	127	44	the	the	DET
ejpam-2620	127	45	data	datum	NOUN
ejpam-2620	127	46	in	in	ADP
ejpam-2620	127	47	the	the	DET
ejpam-2620	127	48	study	study	NOUN
ejpam-2620	127	49	has	have	AUX
ejpam-2620	127	50	been	be	AUX
ejpam-2620	127	51	taken	take	VERB
ejpam-2620	127	52	at	at	ADP
ejpam-2620	127	53	regular	regular	ADJ
ejpam-2620	127	54	intervals	interval	NOUN
ejpam-2620	127	55	,	,	PUNCT
ejpam-2620	127	56	as	as	SCONJ
ejpam-2620	127	57	stated	state	VERB
ejpam-2620	127	58	in	in	ADP
ejpam-2620	127	59	table	table	NOUN
ejpam-2620	127	60	4	4	NUM
ejpam-2620	127	61	and	and	CCONJ
ejpam-2620	127	62	table	table	NOUN
ejpam-2620	127	63	5	5	NUM
ejpam-2620	127	64	.	.	PUNCT
ejpam-2620	128	1	using	use	VERB
ejpam-2620	128	2	two	two	NUM
ejpam-2620	128	3	different	different	ADJ
ejpam-2620	128	4	training	training	NOUN
ejpam-2620	128	5	sets	set	NOUN
ejpam-2620	128	6	,	,	PUNCT
ejpam-2620	128	7	as	as	SCONJ
ejpam-2620	128	8	stated	state	VERB
ejpam-2620	128	9	in	in	ADP
ejpam-2620	128	10	table	table	NOUN
ejpam-2620	128	11	5	5	NUM
ejpam-2620	128	12	.	.	PUNCT
ejpam-2620	129	1	the	the	DET
ejpam-2620	129	2	data	datum	NOUN
ejpam-2620	129	3	of	of	ADP
ejpam-2620	129	4	the	the	DET
ejpam-2620	129	5	study	study	NOUN
ejpam-2620	129	6	is	be	AUX
ejpam-2620	129	7	comprised	comprise	VERB
ejpam-2620	129	8	of	of	ADP
ejpam-2620	129	9	lesion	lesion	NOUN
ejpam-2620	129	10	diameter	diameter	NOUN
ejpam-2620	129	11	from	from	ADP
ejpam-2620	129	12	mr	mr	PROPN
ejpam-2620	129	13	images	image	NOUN
ejpam-2620	129	14	as	as	ADV
ejpam-2620	129	15	well	well	ADV
ejpam-2620	129	16	as	as	ADP
ejpam-2620	129	17	edss	edss	ADJ
ejpam-2620	129	18	scores	score	NOUN
ejpam-2620	129	19	.	.	PUNCT
ejpam-2620	130	1	according	accord	VERB
ejpam-2620	130	2	to	to	ADP
ejpam-2620	130	3	table	table	NOUN
ejpam-2620	130	4	4	4	NUM
ejpam-2620	130	5	,	,	PUNCT
ejpam-2620	130	6	this	this	DET
ejpam-2620	130	7	study	study	NOUN
ejpam-2620	130	8	y.	y.	PROPN
ejpam-2620	130	9	karaca	karaca	PROPN
ejpam-2620	130	10	,	,	PUNCT
ejpam-2620	130	11	ş.	ş.	PROPN
ejpam-2620	130	12	hayta	hayta	PROPN
ejpam-2620	130	13	,	,	PUNCT
ejpam-2620	130	14	r.	r.	PROPN
ejpam-2620	130	15	karabudak	karabudak	PROPN
ejpam-2620	130	16	/	/	SYM
ejpam-2620	130	17	eur	eur	PROPN
ejpam-2620	130	18	.	.	PUNCT
ejpam-2620	131	1	j.	j.	PROPN
ejpam-2620	131	2	pure	pure	PROPN
ejpam-2620	131	3	appl	appl	PROPN
ejpam-2620	131	4	.	.	PROPN
ejpam-2620	131	5	math	math	PROPN
ejpam-2620	131	6	,	,	PUNCT
ejpam-2620	131	7	9	9	NUM
ejpam-2620	131	8	(	(	PUNCT
ejpam-2620	131	9	2016	2016	NUM
ejpam-2620	131	10	)	)	PUNCT
ejpam-2620	131	11	,	,	PUNCT
ejpam-2620	131	12	196	196	NUM
ejpam-2620	131	13	-	-	SYM
ejpam-2620	131	14	215	215	NUM
ejpam-2620	131	15	204	204	NUM
ejpam-2620	131	16	has	have	VERB
ejpam-2620	131	17	3	3	NUM
ejpam-2620	131	18	classes	class	NOUN
ejpam-2620	131	19	(	(	PUNCT
ejpam-2620	131	20	rrms	rrm	NOUN
ejpam-2620	131	21	,	,	PUNCT
ejpam-2620	131	22	ppms	ppm	NOUN
ejpam-2620	131	23	,	,	PUNCT
ejpam-2620	131	24	spms	spm	NOUN
ejpam-2620	131	25	)	)	PUNCT
ejpam-2620	131	26	,	,	PUNCT
ejpam-2620	131	27	and	and	CCONJ
ejpam-2620	131	28	the	the	DET
ejpam-2620	131	29	data	datum	NOUN
ejpam-2620	131	30	has	have	AUX
ejpam-2620	131	31	been	be	AUX
ejpam-2620	131	32	applied	apply	VERB
ejpam-2620	131	33	on	on	ADP
ejpam-2620	131	34	radial	radial	ADJ
ejpam-2620	131	35	basis	basis	NOUN
ejpam-2620	131	36	function	function	NOUN
ejpam-2620	131	37	,	,	PUNCT
ejpam-2620	131	38	polynomial	polynomial	ADJ
ejpam-2620	131	39	,	,	PUNCT
ejpam-2620	131	40	sigmoid	sigmoid	NOUN
ejpam-2620	131	41	and	and	CCONJ
ejpam-2620	131	42	linear	linear	ADJ
ejpam-2620	131	43	kernels	kernel	NOUN
ejpam-2620	131	44	.	.	PUNCT
ejpam-2620	132	1	table	table	NOUN
ejpam-2620	132	2	5	5	NUM
ejpam-2620	132	3	:	:	PUNCT
ejpam-2620	132	4	training	train	VERB
ejpam-2620	132	5	set	set	VERB
ejpam-2620	132	6	matrix	matrix	NOUN
ejpam-2620	132	7	dimensions	dimension	NOUN
ejpam-2620	132	8	vector	vector	NOUN
ejpam-2620	132	9	size	size	NOUN
ejpam-2620	132	10	training	training	NOUN
ejpam-2620	132	11	set	set	VERB
ejpam-2620	132	12	1	1	NUM
ejpam-2620	132	13	120x227	120x227	NUM
ejpam-2620	132	14	training	training	NOUN
ejpam-2620	132	15	set	set	VERB
ejpam-2620	132	16	2	2	NUM
ejpam-2620	132	17	120x228	120x228	NUM
ejpam-2620	132	18	2.4	2.4	NUM
ejpam-2620	132	19	.	.	PUNCT
ejpam-2620	133	1	support	support	NOUN
ejpam-2620	133	2	vector	vector	NOUN
ejpam-2620	133	3	machines	machine	NOUN
ejpam-2620	133	4	svm	svm	VERB
ejpam-2620	133	5	is	be	AUX
ejpam-2620	133	6	a	a	DET
ejpam-2620	133	7	modern	modern	ADJ
ejpam-2620	133	8	classifier	classifier	NOUN
ejpam-2620	133	9	which	which	PRON
ejpam-2620	133	10	is	be	AUX
ejpam-2620	133	11	able	able	ADJ
ejpam-2620	133	12	to	to	PART
ejpam-2620	133	13	make	make	VERB
ejpam-2620	133	14	very	very	ADV
ejpam-2620	133	15	good	good	ADJ
ejpam-2620	133	16	generalizations	generalization	NOUN
ejpam-2620	133	17	structuring	structure	VERB
ejpam-2620	133	18	linear	linear	ADJ
ejpam-2620	133	19	classification	classification	NOUN
ejpam-2620	133	20	boundaries	boundary	NOUN
ejpam-2620	133	21	in	in	ADP
ejpam-2620	133	22	multidimensional	multidimensional	ADJ
ejpam-2620	133	23	space	space	NOUN
ejpam-2620	133	24	through	through	ADP
ejpam-2620	133	25	kernel	kernel	PROPN
ejpam-2620	133	26	[	[	X
ejpam-2620	133	27	5	5	NUM
ejpam-2620	133	28	,	,	PUNCT
ejpam-2620	133	29	9	9	NUM
ejpam-2620	133	30	,	,	PUNCT
ejpam-2620	133	31	25	25	NUM
ejpam-2620	133	32	,	,	PUNCT
ejpam-2620	133	33	30	30	NUM
ejpam-2620	133	34	,	,	PUNCT
ejpam-2620	133	35	31	31	NUM
ejpam-2620	133	36	,	,	PUNCT
ejpam-2620	133	37	36	36	NUM
ejpam-2620	133	38	]	]	PUNCT
ejpam-2620	133	39	.	.	PUNCT
ejpam-2620	134	1	in	in	ADP
ejpam-2620	134	2	this	this	DET
ejpam-2620	134	3	study	study	NOUN
ejpam-2620	134	4	,	,	PUNCT
ejpam-2620	134	5	the	the	DET
ejpam-2620	134	6	subgroups	subgroup	NOUN
ejpam-2620	134	7	of	of	ADP
ejpam-2620	134	8	the	the	DET
ejpam-2620	134	9	disorder	disorder	NOUN
ejpam-2620	134	10	,	,	PUNCT
ejpam-2620	134	11	namely	namely	ADV
ejpam-2620	134	12	rrms	rrm	NOUN
ejpam-2620	134	13	,	,	PUNCT
ejpam-2620	134	14	spms	spm	NOUN
ejpam-2620	134	15	,	,	PUNCT
ejpam-2620	134	16	and	and	CCONJ
ejpam-2620	134	17	ppms	ppm	NOUN
ejpam-2620	134	18	as	as	ADV
ejpam-2620	134	19	well	well	ADV
ejpam-2620	134	20	as	as	ADP
ejpam-2620	134	21	classifier	classifier	NOUN
ejpam-2620	134	22	performance	performance	NOUN
ejpam-2620	134	23	estimations	estimation	NOUN
ejpam-2620	134	24	for	for	ADP
ejpam-2620	134	25	ms	ms	PROPN
ejpam-2620	134	26	subgroups	subgroup	NOUN
ejpam-2620	134	27	has	have	AUX
ejpam-2620	134	28	been	be	AUX
ejpam-2620	134	29	obtained	obtain	VERB
ejpam-2620	134	30	on	on	ADP
ejpam-2620	134	31	different	different	ADJ
ejpam-2620	134	32	kernels	kernel	NOUN
ejpam-2620	134	33	,	,	PUNCT
ejpam-2620	134	34	using	use	VERB
ejpam-2620	134	35	the	the	DET
ejpam-2620	134	36	libsvm	libsvm	NOUN
ejpam-2620	134	37	implementation	implementation	NOUN
ejpam-2620	134	38	of	of	ADP
ejpam-2620	134	39	the	the	DET
ejpam-2620	134	40	svm	svm	ADJ
ejpam-2620	134	41	algorithm	algorithm	NOUN
ejpam-2620	134	42	[	[	X
ejpam-2620	134	43	7	7	NUM
ejpam-2620	134	44	]	]	PUNCT
ejpam-2620	134	45	.	.	PUNCT
ejpam-2620	135	1	svm	svm	PROPN
ejpam-2620	135	2	design	design	NOUN
ejpam-2620	135	3	is	be	AUX
ejpam-2620	135	4	split	split	VERB
ejpam-2620	135	5	by	by	ADP
ejpam-2620	135	6	hyperplane	hyperplane	NOUN
ejpam-2620	135	7	[	[	X
ejpam-2620	135	8	31	31	NUM
ejpam-2620	135	9	]	]	PUNCT
ejpam-2620	135	10	which	which	PRON
ejpam-2620	135	11	represents	represent	VERB
ejpam-2620	135	12	the	the	DET
ejpam-2620	135	13	decision	decision	NOUN
ejpam-2620	135	14	limits	limit	NOUN
ejpam-2620	135	15	;	;	PUNCT
ejpam-2620	135	16	the	the	DET
ejpam-2620	135	17	observations	observation	NOUN
ejpam-2620	135	18	which	which	PRON
ejpam-2620	135	19	define	define	VERB
ejpam-2620	135	20	the	the	DET
ejpam-2620	135	21	boundaries	boundary	NOUN
ejpam-2620	135	22	are	be	AUX
ejpam-2620	135	23	called	call	VERB
ejpam-2620	135	24	"	"	PUNCT
ejpam-2620	135	25	support	support	NOUN
ejpam-2620	135	26	vectors	vector	NOUN
ejpam-2620	135	27	"	"	PUNCT
ejpam-2620	135	28	.	.	PUNCT
ejpam-2620	136	1	class	class	NOUN
ejpam-2620	136	2	estimation	estimation	NOUN
ejpam-2620	136	3	is	be	AUX
ejpam-2620	136	4	made	make	VERB
ejpam-2620	136	5	based	base	VERB
ejpam-2620	136	6	on	on	ADP
ejpam-2620	136	7	these	these	DET
ejpam-2620	136	8	decision	decision	NOUN
ejpam-2620	136	9	limits	limit	NOUN
ejpam-2620	136	10	.	.	PUNCT
ejpam-2620	137	1	in	in	ADP
ejpam-2620	137	2	svm	svm	PROPN
ejpam-2620	137	3	,	,	PUNCT
ejpam-2620	137	4	a	a	DET
ejpam-2620	137	5	maximum	maximum	ADJ
ejpam-2620	137	6	level	level	NOUN
ejpam-2620	137	7	of	of	ADP
ejpam-2620	137	8	accuracy	accuracy	NOUN
ejpam-2620	137	9	is	be	AUX
ejpam-2620	137	10	achieved	achieve	VERB
ejpam-2620	137	11	in	in	ADP
ejpam-2620	137	12	the	the	DET
ejpam-2620	137	13	estimation	estimation	NOUN
ejpam-2620	137	14	of	of	ADP
ejpam-2620	137	15	class	class	NOUN
ejpam-2620	137	16	prediction	prediction	NOUN
ejpam-2620	137	17	of	of	ADP
ejpam-2620	137	18	a	a	DET
ejpam-2620	137	19	new	new	ADJ
ejpam-2620	137	20	set	set	NOUN
ejpam-2620	137	21	of	of	ADP
ejpam-2620	137	22	data	datum	NOUN
ejpam-2620	137	23	formed	form	VERB
ejpam-2620	137	24	through	through	ADP
ejpam-2620	137	25	the	the	DET
ejpam-2620	137	26	use	use	NOUN
ejpam-2620	137	27	of	of	ADP
ejpam-2620	137	28	optimum	optimum	ADJ
ejpam-2620	137	29	decision	decision	NOUN
ejpam-2620	137	30	limit	limit	NOUN
ejpam-2620	137	31	from	from	ADP
ejpam-2620	137	32	training	training	NOUN
ejpam-2620	137	33	data	datum	NOUN
ejpam-2620	137	34	.	.	PUNCT
ejpam-2620	138	1	when	when	SCONJ
ejpam-2620	138	2	class	class	NOUN
ejpam-2620	138	3	representation	representation	NOUN
ejpam-2620	138	4	belonging	belong	VERB
ejpam-2620	138	5	to	to	ADP
ejpam-2620	138	6	the	the	DET
ejpam-2620	138	7	data	data	NOUN
ejpam-2620	138	8	is	be	AUX
ejpam-2620	138	9	not	not	PART
ejpam-2620	138	10	divided	divide	VERB
ejpam-2620	138	11	in	in	ADP
ejpam-2620	138	12	linear	linear	ADJ
ejpam-2620	138	13	fashion	fashion	NOUN
ejpam-2620	138	14	,	,	PUNCT
ejpam-2620	138	15	the	the	DET
ejpam-2620	138	16	formation	formation	NOUN
ejpam-2620	138	17	of	of	ADP
ejpam-2620	138	18	decision	decision	NOUN
ejpam-2620	138	19	limit	limit	NOUN
ejpam-2620	138	20	on	on	ADP
ejpam-2620	138	21	extreme	extreme	ADJ
ejpam-2620	138	22	plane	plane	NOUN
ejpam-2620	138	23	between	between	ADP
ejpam-2620	138	24	the	the	DET
ejpam-2620	138	25	classes	class	NOUN
ejpam-2620	138	26	is	be	AUX
ejpam-2620	138	27	an	an	DET
ejpam-2620	138	28	optimization	optimization	NOUN
ejpam-2620	138	29	problem	problem	NOUN
ejpam-2620	138	30	.	.	PUNCT
ejpam-2620	139	1	for	for	ADP
ejpam-2620	139	2	the	the	DET
ejpam-2620	139	3	solution	solution	NOUN
ejpam-2620	139	4	of	of	ADP
ejpam-2620	139	5	such	such	DET
ejpam-2620	139	6	a	a	DET
ejpam-2620	139	7	problem	problem	NOUN
ejpam-2620	139	8	,	,	PUNCT
ejpam-2620	139	9	it	it	PRON
ejpam-2620	139	10	is	be	AUX
ejpam-2620	139	11	necessary	necessary	ADJ
ejpam-2620	139	12	to	to	PART
ejpam-2620	139	13	identify	identify	VERB
ejpam-2620	139	14	the	the	DET
ejpam-2620	139	15	function	function	NOUN
ejpam-2620	139	16	between	between	ADP
ejpam-2620	139	17	two	two	NUM
ejpam-2620	139	18	points	point	NOUN
ejpam-2620	139	19	as	as	ADP
ejpam-2620	139	20	(	(	PUNCT
ejpam-2620	139	21	x	x	INTJ
ejpam-2620	139	22	,	,	PUNCT
ejpam-2620	139	23	f	f	PROPN
ejpam-2620	139	24	(	(	PUNCT
ejpam-2620	139	25	x	x	NOUN
ejpam-2620	139	26	)	)	PUNCT
ejpam-2620	139	27	)	)	PUNCT
ejpam-2620	139	28	using	use	VERB
ejpam-2620	139	29	the	the	DET
ejpam-2620	139	30	variables	variable	NOUN
ejpam-2620	139	31	in	in	ADP
ejpam-2620	139	32	the	the	DET
ejpam-2620	139	33	data	datum	NOUN
ejpam-2620	139	34	set	set	VERB
ejpam-2620	139	35	,	,	PUNCT
ejpam-2620	139	36	as	as	SCONJ
ejpam-2620	139	37	seen	see	VERB
ejpam-2620	139	38	here	here	ADV
ejpam-2620	139	39	:	:	PUNCT
ejpam-2620	139	40	f0(x	f0(x	NOUN
ejpam-2620	139	41	)	)	PUNCT
ejpam-2620	139	42	(	(	PUNCT
ejpam-2620	139	43	1	1	X
ejpam-2620	139	44	)	)	PUNCT
ejpam-2620	139	45	fi	fi	NOUN
ejpam-2620	139	46	(	(	PUNCT
ejpam-2620	139	47	x)≤	x)≤	PROPN
ejpam-2620	139	48	0	0	NUM
ejpam-2620	139	49	,	,	PUNCT
ejpam-2620	139	50	i	i	PRON
ejpam-2620	139	51	=	=	NOUN
ejpam-2620	139	52	1	1	NUM
ejpam-2620	139	53	,	,	PUNCT
ejpam-2620	139	54	.	.	PUNCT
ejpam-2620	139	55	.	.	PUNCT
ejpam-2620	140	1	.	.	PUNCT
ejpam-2620	141	1	,	,	PUNCT
ejpam-2620	141	2	m	m	VERB
ejpam-2620	141	3	(	(	PUNCT
ejpam-2620	141	4	2	2	X
ejpam-2620	141	5	)	)	PUNCT
ejpam-2620	141	6	hi	hi	INTJ
ejpam-2620	141	7	(	(	PUNCT
ejpam-2620	141	8	x	x	NOUN
ejpam-2620	141	9	)	)	PUNCT
ejpam-2620	141	10	=	=	SYM
ejpam-2620	141	11	0	0	NUM
ejpam-2620	141	12	,	,	PUNCT
ejpam-2620	141	13	i	i	PRON
ejpam-2620	141	14	=	=	NOUN
ejpam-2620	141	15	1	1	NUM
ejpam-2620	141	16	,	,	PUNCT
ejpam-2620	141	17	.	.	PUNCT
ejpam-2620	141	18	.	.	PUNCT
ejpam-2620	142	1	.	.	PUNCT
ejpam-2620	143	1	,	,	PUNCT
ejpam-2620	143	2	p	p	X
ejpam-2620	143	3	(	(	PUNCT
ejpam-2620	143	4	3	3	NUM
ejpam-2620	143	5	)	)	PUNCT
ejpam-2620	143	6	if	if	SCONJ
ejpam-2620	143	7	the	the	DET
ejpam-2620	143	8	classes	class	NOUN
ejpam-2620	143	9	can	can	AUX
ejpam-2620	143	10	not	not	PART
ejpam-2620	143	11	be	be	AUX
ejpam-2620	143	12	classified	classify	VERB
ejpam-2620	143	13	in	in	ADP
ejpam-2620	143	14	a	a	DET
ejpam-2620	143	15	linear	linear	ADJ
ejpam-2620	143	16	fashion	fashion	NOUN
ejpam-2620	143	17	,	,	PUNCT
ejpam-2620	143	18	the	the	DET
ejpam-2620	143	19	optimization	optimization	NOUN
ejpam-2620	143	20	problem	problem	NOUN
ejpam-2620	143	21	in	in	ADP
ejpam-2620	143	22	svm	svm	PROPN
ejpam-2620	143	23	is	be	AUX
ejpam-2620	143	24	placed	place	VERB
ejpam-2620	143	25	to	to	ADP
ejpam-2620	143	26	the	the	DET
ejpam-2620	143	27	new	new	ADJ
ejpam-2620	143	28	space	space	NOUN
ejpam-2620	143	29	through	through	ADP
ejpam-2620	143	30	non	non	ADJ
ejpam-2620	143	31	-	-	ADJ
ejpam-2620	143	32	linear	linear	ADJ
ejpam-2620	143	33	based	base	VERB
ejpam-2620	143	34	functions	function	NOUN
ejpam-2620	143	35	.	.	PUNCT
ejpam-2620	144	1	the	the	DET
ejpam-2620	144	2	length	length	NOUN
ejpam-2620	144	3	of	of	ADP
ejpam-2620	144	4	the	the	DET
ejpam-2620	144	5	new	new	ADJ
ejpam-2620	144	6	space	space	NOUN
ejpam-2620	144	7	is	be	AUX
ejpam-2620	144	8	bigger	big	ADJ
ejpam-2620	144	9	than	than	ADP
ejpam-2620	144	10	that	that	PRON
ejpam-2620	144	11	of	of	ADP
ejpam-2620	144	12	the	the	DET
ejpam-2620	144	13	initial	initial	ADJ
ejpam-2620	144	14	space	space	NOUN
ejpam-2620	144	15	[	[	X
ejpam-2620	144	16	13	13	NUM
ejpam-2620	144	17	]	]	PUNCT
ejpam-2620	144	18	.	.	PUNCT
ejpam-2620	145	1	the	the	DET
ejpam-2620	145	2	complexity	complexity	NOUN
ejpam-2620	145	3	of	of	ADP
ejpam-2620	145	4	it	it	PRON
ejpam-2620	145	5	is	be	AUX
ejpam-2620	145	6	done	do	VERB
ejpam-2620	145	7	through	through	ADP
ejpam-2620	145	8	a	a	DET
ejpam-2620	145	9	learning	learning	NOUN
ejpam-2620	145	10	method	method	NOUN
ejpam-2620	145	11	that	that	PRON
ejpam-2620	145	12	is	be	AUX
ejpam-2620	145	13	not	not	PART
ejpam-2620	145	14	related	relate	VERB
ejpam-2620	145	15	to	to	ADP
ejpam-2620	145	16	the	the	DET
ejpam-2620	145	17	number	number	NOUN
ejpam-2620	145	18	of	of	ADP
ejpam-2620	145	19	dimension	dimension	NOUN
ejpam-2620	145	20	.	.	PUNCT
ejpam-2620	146	1	while	while	SCONJ
ejpam-2620	146	2	finding	find	VERB
ejpam-2620	146	3	the	the	DET
ejpam-2620	146	4	best	good	ADJ
ejpam-2620	146	5	hyperplane	hyperplane	NOUN
ejpam-2620	146	6	,	,	PUNCT
ejpam-2620	146	7	complexity	complexity	NOUN
ejpam-2620	146	8	in	in	ADP
ejpam-2620	146	9	the	the	DET
ejpam-2620	146	10	optimization	optimization	NOUN
ejpam-2620	146	11	problem	problem	NOUN
ejpam-2620	146	12	is	be	AUX
ejpam-2620	146	13	written	write	VERB
ejpam-2620	146	14	based	base	VERB
ejpam-2620	146	15	on	on	ADP
ejpam-2620	146	16	the	the	DET
ejpam-2620	146	17	sample	sample	NOUN
ejpam-2620	146	18	number	number	NOUN
ejpam-2620	146	19	(	(	PUNCT
ejpam-2620	146	20	120	120	NUM
ejpam-2620	146	21	)	)	PUNCT
ejpam-2620	146	22	.	.	PUNCT
ejpam-2620	147	1	in	in	ADP
ejpam-2620	147	2	this	this	DET
ejpam-2620	147	3	way	way	NOUN
ejpam-2620	147	4	,	,	PUNCT
ejpam-2620	147	5	cross	cross	NOUN
ejpam-2620	147	6	checking	checking	NOUN
ejpam-2620	147	7	has	have	AUX
ejpam-2620	147	8	been	be	AUX
ejpam-2620	147	9	done	do	VERB
ejpam-2620	147	10	while	while	SCONJ
ejpam-2620	147	11	transferring	transfer	VERB
ejpam-2620	147	12	from	from	ADP
ejpam-2620	147	13	base	base	NOUN
ejpam-2620	147	14	functions	function	NOUN
ejpam-2620	147	15	to	to	ADP
ejpam-2620	147	16	the	the	DET
ejpam-2620	147	17	kernel	kernel	PROPN
ejpam-2620	147	18	functions	function	NOUN
ejpam-2620	147	19	.	.	PUNCT
ejpam-2620	148	1	the	the	DET
ejpam-2620	148	2	point	point	NOUN
ejpam-2620	148	3	that	that	PRON
ejpam-2620	148	4	is	be	AUX
ejpam-2620	148	5	the	the	DET
ejpam-2620	148	6	least	least	ADV
ejpam-2620	148	7	based	base	VERB
ejpam-2620	148	8	on	on	ADP
ejpam-2620	148	9	w0	w0	PROPN
ejpam-2620	148	10	values	value	NOUN
ejpam-2620	148	11	or	or	CCONJ
ejpam-2620	148	12	the	the	DET
ejpam-2620	148	13	biggest	big	ADJ
ejpam-2620	148	14	point	point	NOUN
ejpam-2620	148	15	based	base	VERB
ejpam-2620	148	16	on	on	ADP
ejpam-2620	148	17	at	at	ADP
ejpam-2620	148	18	≥	≥	NOUN
ejpam-2620	148	19	0	0	NUM
ejpam-2620	148	20	values	value	NOUN
ejpam-2620	148	21	is	be	AUX
ejpam-2620	148	22	found	find	VERB
ejpam-2620	148	23	[	[	X
ejpam-2620	148	24	13	13	NUM
ejpam-2620	148	25	]	]	PUNCT
ejpam-2620	148	26	(	(	PUNCT
ejpam-2620	148	27	α	α	NOUN
ejpam-2620	148	28	and	and	CCONJ
ejpam-2620	148	29	w	w	PROPN
ejpam-2620	148	30	will	will	AUX
ejpam-2620	148	31	be	be	AUX
ejpam-2620	148	32	defined	define	VERB
ejpam-2620	148	33	shortly	shortly	ADV
ejpam-2620	148	34	)	)	PUNCT
ejpam-2620	148	35	.	.	PUNCT
ejpam-2620	149	1	xεr	xεr	PROPN
ejpam-2620	149	2	n	n	PROPN
ejpam-2620	149	3	represents	represent	VERB
ejpam-2620	149	4	optimization	optimization	NOUN
ejpam-2620	149	5	variable	variable	NOUN
ejpam-2620	149	6	,	,	PUNCT
ejpam-2620	149	7	f0	f0	PROPN
ejpam-2620	149	8	:	:	PUNCT
ejpam-2620	149	9	r	r	NOUN
ejpam-2620	149	10	n	n	PROPN
ejpam-2620	149	11	→	→	SYM
ejpam-2620	149	12	r	r	NOUN
ejpam-2620	149	13	is	be	AUX
ejpam-2620	149	14	the	the	DET
ejpam-2620	149	15	cost	cost	NOUN
ejpam-2620	149	16	function	function	NOUN
ejpam-2620	149	17	.	.	PUNCT
ejpam-2620	150	1	it	it	PRON
ejpam-2620	150	2	represents	represent	VERB
ejpam-2620	150	3	the	the	DET
ejpam-2620	150	4	constant	constant	ADJ
ejpam-2620	150	5	functions	function	NOUN
ejpam-2620	150	6	that	that	PRON
ejpam-2620	150	7	are	be	AUX
ejpam-2620	150	8	not	not	PART
ejpam-2620	150	9	equal	equal	ADJ
ejpam-2620	150	10	.	.	PUNCT
ejpam-2620	151	1	hi	hi	INTJ
ejpam-2620	151	2	:	:	PUNCT
ejpam-2620	151	3	r	r	NOUN
ejpam-2620	151	4	n	n	PROPN
ejpam-2620	151	5	→	→	SYM
ejpam-2620	151	6	r	r	NOUN
ejpam-2620	151	7	represents	represent	VERB
ejpam-2620	151	8	the	the	DET
ejpam-2620	151	9	cost	cost	NOUN
ejpam-2620	151	10	function	function	NOUN
ejpam-2620	151	11	that	that	PRON
ejpam-2620	151	12	is	be	AUX
ejpam-2620	151	13	equal	equal	ADJ
ejpam-2620	151	14	[	[	X
ejpam-2620	151	15	29	29	NUM
ejpam-2620	151	16	]	]	PUNCT
ejpam-2620	151	17	.	.	PUNCT
ejpam-2620	152	1	p∗	p∗	NOUN
ejpam-2620	152	2	=	=	PUNCT
ejpam-2620	153	1	in	in	ADP
ejpam-2620	153	2	f	f	PROPN
ejpam-2620	153	3	f0	f0	PROPN
ejpam-2620	153	4	�	�	PROPN
ejpam-2620	153	5	x	x	SYM
ejpam-2620	153	6	�	�	PROPN
ejpam-2620	153	7	|	|	ADV
ejpam-2620	153	8	fi	fi	NOUN
ejpam-2620	153	9	�	�	PROPN
ejpam-2620	153	10	x	x	SYM
ejpam-2620	153	11	�	�	PROPN
ejpam-2620	153	12	≤	≤	PROPN
ejpam-2620	153	13	0	0	NUM
ejpam-2620	153	14	,	,	PUNCT
ejpam-2620	153	15	i	i	PRON
ejpam-2620	153	16	=	=	NOUN
ejpam-2620	153	17	1	1	NUM
ejpam-2620	153	18	,	,	PUNCT
ejpam-2620	153	19	.	.	PUNCT
ejpam-2620	153	20	.	.	PUNCT
ejpam-2620	153	21	.	.	PUNCT
ejpam-2620	154	1	,	,	PUNCT
ejpam-2620	154	2	m	m	PROPN
ejpam-2620	154	3	,	,	PUNCT
ejpam-2620	154	4	hi	hi	INTJ
ejpam-2620	154	5	(	(	PUNCT
ejpam-2620	154	6	x	x	NOUN
ejpam-2620	154	7	)	)	PUNCT
ejpam-2620	154	8	=	=	SYM
ejpam-2620	154	9	0	0	NUM
ejpam-2620	154	10	,	,	PUNCT
ejpam-2620	154	11	i	i	PRON
ejpam-2620	154	12	=	=	NOUN
ejpam-2620	154	13	1	1	NUM
ejpam-2620	154	14	,	,	PUNCT
ejpam-2620	154	15	.	.	PUNCT
ejpam-2620	154	16	.	.	PUNCT
ejpam-2620	155	1	.	.	PUNCT
ejpam-2620	156	1	,	,	PUNCT
ejpam-2620	156	2	p	p	X
ejpam-2620	156	3	(	(	PUNCT
ejpam-2620	156	4	4	4	NUM
ejpam-2620	156	5	)	)	PUNCT
ejpam-2620	156	6	based	base	VERB
ejpam-2620	156	7	on	on	ADP
ejpam-2620	156	8	equation	equation	NOUN
ejpam-2620	156	9	4	4	NUM
ejpam-2620	156	10	,	,	PUNCT
ejpam-2620	156	11	the	the	DET
ejpam-2620	156	12	optimum	optimum	ADJ
ejpam-2620	156	13	value	value	NOUN
ejpam-2620	156	14	is	be	AUX
ejpam-2620	156	15	represented	represent	VERB
ejpam-2620	156	16	.	.	PUNCT
ejpam-2620	157	1	if	if	SCONJ
ejpam-2620	157	2	the	the	DET
ejpam-2620	157	3	problem	problem	NOUN
ejpam-2620	157	4	is	be	AUX
ejpam-2620	157	5	infeasible	infeasible	ADJ
ejpam-2620	157	6	,	,	PUNCT
ejpam-2620	157	7	it	it	PRON
ejpam-2620	157	8	is	be	AUX
ejpam-2620	157	9	p∗	p∗	ADJ
ejpam-2620	157	10	=	=	SYM
ejpam-2620	157	11	∞	∞	PROPN
ejpam-2620	157	12	,	,	PUNCT
ejpam-2620	157	13	if	if	SCONJ
ejpam-2620	157	14	the	the	DET
ejpam-2620	157	15	problem	problem	NOUN
ejpam-2620	157	16	is	be	AUX
ejpam-2620	157	17	infinite	infinite	ADJ
ejpam-2620	157	18	,	,	PUNCT
ejpam-2620	157	19	then	then	ADV
ejpam-2620	157	20	it	it	PRON
ejpam-2620	157	21	is	be	AUX
ejpam-2620	157	22	p∗	p∗	ADJ
ejpam-2620	157	23	=	=	PUNCT
ejpam-2620	157	24	−∞	−∞	X
ejpam-2620	157	25	[	[	X
ejpam-2620	157	26	15	15	NUM
ejpam-2620	157	27	]	]	PUNCT
ejpam-2620	157	28	.	.	PUNCT
ejpam-2620	158	1	y.	y.	PROPN
ejpam-2620	158	2	karaca	karaca	PROPN
ejpam-2620	158	3	,	,	PUNCT
ejpam-2620	158	4	ş.	ş.	PROPN
ejpam-2620	158	5	hayta	hayta	PROPN
ejpam-2620	158	6	,	,	PUNCT
ejpam-2620	158	7	r.	r.	PROPN
ejpam-2620	158	8	karabudak	karabudak	PROPN
ejpam-2620	158	9	/	/	SYM
ejpam-2620	158	10	eur	eur	PROPN
ejpam-2620	158	11	.	.	PUNCT
ejpam-2620	159	1	j.	j.	PROPN
ejpam-2620	159	2	pure	pure	PROPN
ejpam-2620	159	3	appl	appl	PROPN
ejpam-2620	159	4	.	.	PROPN
ejpam-2620	159	5	math	math	PROPN
ejpam-2620	159	6	,	,	PUNCT
ejpam-2620	159	7	9	9	NUM
ejpam-2620	159	8	(	(	PUNCT
ejpam-2620	159	9	2016	2016	NUM
ejpam-2620	159	10	)	)	PUNCT
ejpam-2620	159	11	,	,	PUNCT
ejpam-2620	159	12	196	196	NUM
ejpam-2620	159	13	-	-	SYM
ejpam-2620	159	14	215	215	NUM
ejpam-2620	159	15	205	205	NUM
ejpam-2620	159	16	xεrn	xεrn	NOUN
ejpam-2620	159	17	means	mean	VERB
ejpam-2620	159	18	variable	variable	ADJ
ejpam-2620	159	19	,	,	PUNCT
ejpam-2620	159	20	d	d	PROPN
ejpam-2620	159	21	means	mean	VERB
ejpam-2620	159	22	domain	domain	NOUN
ejpam-2620	159	23	,	,	PUNCT
ejpam-2620	159	24	p∗	p∗	PROPN
ejpam-2620	159	25	means	mean	VERB
ejpam-2620	159	26	optimum	optimum	ADJ
ejpam-2620	159	27	value	value	NOUN
ejpam-2620	159	28	[	[	X
ejpam-2620	159	29	15	15	NUM
ejpam-2620	159	30	]	]	PUNCT
ejpam-2620	159	31	.	.	PUNCT
ejpam-2620	160	1	lagrangian	lagrangian	ADJ
ejpam-2620	160	2	;	;	PUNCT
ejpam-2620	160	3	l	l	NOUN
ejpam-2620	160	4	:	:	PUNCT
ejpam-2620	160	5	rn	rn	PROPN
ejpam-2620	160	6	×	×	PROPN
ejpam-2620	160	7	rm	rm	PROPN
ejpam-2620	160	8	×	×	PROPN
ejpam-2620	160	9	rp→	rp→	ADV
ejpam-2620	160	10	r	r	NOUN
ejpam-2620	160	11	,	,	PUNCT
ejpam-2620	160	12	with	with	ADP
ejpam-2620	160	13	doml	doml	NOUN
ejpam-2620	160	14	=	=	SYM
ejpam-2620	160	15	dxrm	dxrm	PROPN
ejpam-2620	160	16	×	×	PROPN
ejpam-2620	160	17	rp	rp	NOUN
ejpam-2620	160	18	,	,	PUNCT
ejpam-2620	160	19	(	(	PUNCT
ejpam-2620	160	20	5	5	NUM
ejpam-2620	160	21	)	)	PUNCT
ejpam-2620	160	22	with	with	ADP
ejpam-2620	160	23	lagrangian	lagrangian	ADJ
ejpam-2620	160	24	dual	dual	ADJ
ejpam-2620	160	25	function	function	NOUN
ejpam-2620	160	26	the	the	DET
ejpam-2620	160	27	lowest	low	ADJ
ejpam-2620	160	28	level	level	NOUN
ejpam-2620	160	29	p∗	p∗	NOUN
ejpam-2620	160	30	is	be	AUX
ejpam-2620	160	31	found	find	VERB
ejpam-2620	160	32	.	.	PUNCT
ejpam-2620	161	1	g	g	NOUN
ejpam-2620	161	2	:	:	PUNCT
ejpam-2620	161	3	rm	rm	PROPN
ejpam-2620	161	4	×	×	PROPN
ejpam-2620	161	5	rp→	rp→	ADV
ejpam-2620	161	6	r	r	NOUN
ejpam-2620	161	7	(	(	PUNCT
ejpam-2620	161	8	6	6	NUM
ejpam-2620	161	9	)	)	PUNCT
ejpam-2620	161	10	g	g	NOUN
ejpam-2620	161	11	(	(	PUNCT
ejpam-2620	161	12	λ	λ	PROPN
ejpam-2620	161	13	,	,	PUNCT
ejpam-2620	161	14	ν	ν	NOUN
ejpam-2620	161	15	)	)	PUNCT
ejpam-2620	161	16	=	=	SYM
ejpam-2620	161	17	inf	inf	NOUN
ejpam-2620	161	18	xεd	xεd	NOUN
ejpam-2620	161	19	l(x	l(x	PROPN
ejpam-2620	161	20	,	,	PUNCT
ejpam-2620	161	21	λ	λ	PROPN
ejpam-2620	161	22	,	,	PUNCT
ejpam-2620	161	23	ν	ν	NOUN
ejpam-2620	161	24	)	)	PUNCT
ejpam-2620	161	25	(	(	PUNCT
ejpam-2620	161	26	7	7	X
ejpam-2620	161	27	)	)	PUNCT
ejpam-2620	161	28	=	=	VERB
ejpam-2620	161	29	inf	inf	PROPN
ejpam-2620	161	30	x∈d	x∈d	NOUN
ejpam-2620	161	31	�	�	PROPN
ejpam-2620	161	32	f0	f0	PROPN
ejpam-2620	161	33	�	�	PROPN
ejpam-2620	161	34	x	x	SYM
ejpam-2620	161	35	�	�	PROPN
ejpam-2620	161	36	+	+	CCONJ
ejpam-2620	161	37	m	m	VERB
ejpam-2620	161	38	∑	∑	ADJ
ejpam-2620	161	39	i	i	PRON
ejpam-2620	161	40	λi	λi	PROPN
ejpam-2620	161	41	fi	fi	NOUN
ejpam-2620	161	42	�	�	PROPN
ejpam-2620	161	43	x	x	SYM
ejpam-2620	161	44	�	�	PROPN
ejpam-2620	162	1	p	p	NOUN
ejpam-2620	162	2	∑	∑	PROPN
ejpam-2620	162	3	i	i	PRON
ejpam-2620	162	4	νihi	νihi	VERB
ejpam-2620	162	5	�	�	PROPN
ejpam-2620	162	6	x	x	SYM
ejpam-2620	162	7	�	�	PROPN
ejpam-2620	162	8	�	�	PROPN
ejpam-2620	162	9	(	(	PUNCT
ejpam-2620	162	10	8)	8)	NUM
ejpam-2620	162	11	minw	minw	NOUN
ejpam-2620	162	12	,	,	PUNCT
ejpam-2620	162	13	b	b	PROPN
ejpam-2620	162	14	,	,	PUNCT
ejpam-2620	162	15	ξ	ξ	PROPN
ejpam-2620	162	16	1	1	NUM
ejpam-2620	162	17	2	2	NUM
ejpam-2620	162	18	wt	wt	NOUN
ejpam-2620	162	19	w+	w+	NOUN
ejpam-2620	162	20	c	c	NOUN
ejpam-2620	162	21	l	l	NOUN
ejpam-2620	162	22	∑	∑	PUNCT
ejpam-2620	162	23	i=1	i=1	PROPN
ejpam-2620	162	24	ξi	ξi	PROPN
ejpam-2620	162	25	(	(	PUNCT
ejpam-2620	162	26	9	9	NUM
ejpam-2620	162	27	)	)	PUNCT
ejpam-2620	162	28	φ(x	φ(x	PROPN
ejpam-2620	162	29	i	i	PROPN
ejpam-2620	162	30	)	)	PUNCT
ejpam-2620	162	31	,	,	PUNCT
ejpam-2620	162	32	x	x	VERB
ejpam-2620	162	33	i	i	PRON
ejpam-2620	162	34	represents	represent	VERB
ejpam-2620	162	35	the	the	DET
ejpam-2620	162	36	data	datum	NOUN
ejpam-2620	162	37	set	set	VERB
ejpam-2620	162	38	in	in	ADP
ejpam-2620	162	39	training	training	NOUN
ejpam-2620	162	40	set	set	VERB
ejpam-2620	162	41	1	1	NUM
ejpam-2620	162	42	and	and	CCONJ
ejpam-2620	162	43	training	training	NOUN
ejpam-2620	162	44	set	set	NOUN
ejpam-2620	162	45	2	2	NUM
ejpam-2620	162	46	.	.	PUNCT
ejpam-2620	163	1	for	for	ADP
ejpam-2620	163	2	training	training	NOUN
ejpam-2620	163	3	set	set	NOUN
ejpam-2620	163	4	1	1	NUM
ejpam-2620	163	5	x	x	NOUN
ejpam-2620	163	6	is	be	AUX
ejpam-2620	163	7	120×	120×	NUM
ejpam-2620	163	8	227	227	NUM
ejpam-2620	163	9	,	,	PUNCT
ejpam-2620	163	10	and	and	CCONJ
ejpam-2620	163	11	for	for	ADP
ejpam-2620	163	12	training	training	NOUN
ejpam-2620	163	13	set	set	NOUN
ejpam-2620	163	14	2	2	NUM
ejpam-2620	163	15	x	x	NOUN
ejpam-2620	163	16	is	be	AUX
ejpam-2620	163	17	120×	120×	NUM
ejpam-2620	163	18	228	228	NUM
ejpam-2620	163	19	sized	sized	ADJ
ejpam-2620	163	20	matrix	matrix	NOUN
ejpam-2620	163	21	.	.	PUNCT
ejpam-2620	164	1	c	c	PROPN
ejpam-2620	164	2	parameter	parameter	NOUN
ejpam-2620	164	3	represents	represent	VERB
ejpam-2620	164	4	our	our	PRON
ejpam-2620	164	5	classes	class	NOUN
ejpam-2620	164	6	,	,	PUNCT
ejpam-2620	164	7	and	and	CCONJ
ejpam-2620	164	8	these	these	PRON
ejpam-2620	164	9	are	be	AUX
ejpam-2620	164	10	rrms	rrm	NOUN
ejpam-2620	164	11	,	,	PUNCT
ejpam-2620	164	12	spms	spm	NOUN
ejpam-2620	164	13	and	and	CCONJ
ejpam-2620	164	14	ppms	ppm	NOUN
ejpam-2620	164	15	.	.	PUNCT
ejpam-2620	165	1	w	w	PROPN
ejpam-2620	165	2	solves	solve	VERB
ejpam-2620	165	3	the	the	DET
ejpam-2620	165	4	dual	dual	ADJ
ejpam-2620	165	5	problem	problem	NOUN
ejpam-2620	165	6	in	in	ADP
ejpam-2620	165	7	the	the	DET
ejpam-2620	165	8	data	datum	NOUN
ejpam-2620	165	9	set	set	VERB
ejpam-2620	165	10	with	with	ADP
ejpam-2620	165	11	3	3	NUM
ejpam-2620	165	12	classes	class	NOUN
ejpam-2620	165	13	through	through	ADP
ejpam-2620	165	14	the	the	DET
ejpam-2620	165	15	equation	equation	NOUN
ejpam-2620	165	16	10	10	NUM
ejpam-2620	165	17	given	give	VERB
ejpam-2620	165	18	below	below	ADV
ejpam-2620	165	19	.	.	PUNCT
ejpam-2620	166	1	after	after	ADP
ejpam-2620	166	2	having	having	AUX
ejpam-2620	166	3	reached	reach	VERB
ejpam-2620	166	4	the	the	DET
ejpam-2620	166	5	solution	solution	NOUN
ejpam-2620	166	6	with	with	ADP
ejpam-2620	166	7	equation	equation	NOUN
ejpam-2620	166	8	for	for	ADP
ejpam-2620	166	9	the	the	DET
ejpam-2620	166	10	dual	dual	ADJ
ejpam-2620	166	11	problem	problem	NOUN
ejpam-2620	166	12	[	[	X
ejpam-2620	166	13	25	25	NUM
ejpam-2620	166	14	,	,	PUNCT
ejpam-2620	166	15	26	26	NUM
ejpam-2620	166	16	]	]	PUNCT
ejpam-2620	166	17	,	,	PUNCT
ejpam-2620	166	18	the	the	DET
ejpam-2620	166	19	optimum	optimum	ADJ
ejpam-2620	166	20	value	value	NOUN
ejpam-2620	166	21	is	be	AUX
ejpam-2620	166	22	found	find	VERB
ejpam-2620	166	23	for	for	ADP
ejpam-2620	166	24	w	w	NOUN
ejpam-2620	166	25	,	,	PUNCT
ejpam-2620	166	26	w=	w=	PUNCT
ejpam-2620	166	27	l	l	NOUN
ejpam-2620	166	28	∑	∑	PUNCT
ejpam-2620	166	29	i=1	i=1	PROPN
ejpam-2620	166	30	yiαiφ(x	yiαiφ(x	PROPN
ejpam-2620	166	31	i	i	NOUN
ejpam-2620	166	32	)	)	PUNCT
ejpam-2620	166	33	(	(	PUNCT
ejpam-2620	166	34	10	10	NUM
ejpam-2620	166	35	)	)	PUNCT
ejpam-2620	166	36	through	through	ADP
ejpam-2620	166	37	[	[	X
ejpam-2620	166	38	13	13	NUM
ejpam-2620	166	39	]	]	PUNCT
ejpam-2620	166	40	.	.	PUNCT
ejpam-2620	167	1	sgn(wtφ(x	sgn(wtφ(x	VERB
ejpam-2620	167	2	)	)	PUNCT
ejpam-2620	168	1	+	+	SYM
ejpam-2620	168	2	c	c	X
ejpam-2620	168	3	)	)	PUNCT
ejpam-2620	168	4	=	=	SYM
ejpam-2620	168	5	sgn	sgn	NOUN
ejpam-2620	168	6	(	(	PUNCT
ejpam-2620	168	7	l	l	NOUN
ejpam-2620	168	8	∑	∑	PUNCT
ejpam-2620	168	9	i=1	i=1	PROPN
ejpam-2620	168	10	yiαik(x	yiαik(x	INTJ
ejpam-2620	168	11	i	i	PRON
ejpam-2620	168	12	,	,	PUNCT
ejpam-2620	168	13	x	x	X
ejpam-2620	168	14	)	)	PUNCT
ejpam-2620	168	15	+	+	CCONJ
ejpam-2620	168	16	c	c	X
ejpam-2620	168	17	)	)	PUNCT
ejpam-2620	168	18	(	(	PUNCT
ejpam-2620	168	19	11	11	NUM
ejpam-2620	168	20	)	)	PUNCT
ejpam-2620	168	21	the	the	DET
ejpam-2620	168	22	class	class	NOUN
ejpam-2620	168	23	determination	determination	NOUN
ejpam-2620	168	24	of	of	ADP
ejpam-2620	168	25	ms	ms	PROPN
ejpam-2620	168	26	subgroups	subgroup	NOUN
ejpam-2620	168	27	,	,	PUNCT
ejpam-2620	168	28	the	the	DET
ejpam-2620	168	29	decision	decision	NOUN
ejpam-2620	168	30	is	be	AUX
ejpam-2620	168	31	given	give	VERB
ejpam-2620	168	32	based	base	VERB
ejpam-2620	168	33	on	on	ADP
ejpam-2620	168	34	the	the	DET
ejpam-2620	168	35	function	function	NOUN
ejpam-2620	168	36	[	[	X
ejpam-2620	168	37	7	7	NUM
ejpam-2620	168	38	,	,	PUNCT
ejpam-2620	168	39	13	13	NUM
ejpam-2620	168	40	]	]	PUNCT
ejpam-2620	168	41	.	.	PUNCT
ejpam-2620	169	1	based	base	VERB
ejpam-2620	169	2	on	on	ADP
ejpam-2620	169	3	parameters	parameter	NOUN
ejpam-2620	169	4	,	,	PUNCT
ejpam-2620	169	5	with	with	ADP
ejpam-2620	169	6	grid	grid	NOUN
ejpam-2620	169	7	search	search	NOUN
ejpam-2620	169	8	,	,	PUNCT
ejpam-2620	169	9	direct	direct	ADJ
ejpam-2620	169	10	learning	learning	NOUN
ejpam-2620	169	11	is	be	AUX
ejpam-2620	169	12	not	not	PART
ejpam-2620	169	13	done	do	VERB
ejpam-2620	169	14	for	for	ADP
ejpam-2620	169	15	class	class	NOUN
ejpam-2620	169	16	definers	definer	NOUN
ejpam-2620	169	17	.	.	PUNCT
ejpam-2620	170	1	the	the	DET
ejpam-2620	170	2	best	well	ADV
ejpam-2620	170	3	defining	define	VERB
ejpam-2620	170	4	performance	performance	NOUN
ejpam-2620	170	5	is	be	AUX
ejpam-2620	170	6	done	do	VERB
ejpam-2620	170	7	based	base	VERB
ejpam-2620	170	8	on	on	ADP
ejpam-2620	170	9	cross	cross	NOUN
ejpam-2620	170	10	-	-	NOUN
ejpam-2620	170	11	validation	validation	NOUN
ejpam-2620	170	12	for	for	ADP
ejpam-2620	170	13	this	this	PRON
ejpam-2620	170	14	.	.	PUNCT
ejpam-2620	171	1	the	the	DET
ejpam-2620	171	2	frequently	frequently	ADV
ejpam-2620	171	3	used	use	VERB
ejpam-2620	171	4	parameter	parameter	NOUN
ejpam-2620	171	5	for	for	ADP
ejpam-2620	171	6	this	this	PRON
ejpam-2620	171	7	is	be	AUX
ejpam-2620	171	8	regularizer	regularizer	NOUN
ejpam-2620	171	9	parameter	parameter	NOUN
ejpam-2620	171	10	.	.	PUNCT
ejpam-2620	172	1	the	the	DET
ejpam-2620	172	2	performance	performance	NOUN
ejpam-2620	172	3	evaluation	evaluation	NOUN
ejpam-2620	172	4	for	for	ADP
ejpam-2620	172	5	this	this	DET
ejpam-2620	172	6	study	study	NOUN
ejpam-2620	172	7	has	have	AUX
ejpam-2620	172	8	been	be	AUX
ejpam-2620	172	9	performed	perform	VERB
ejpam-2620	172	10	through	through	ADP
ejpam-2620	172	11	multi	multi	ADJ
ejpam-2620	172	12	-	-	NOUN
ejpam-2620	172	13	class	class	ADJ
ejpam-2620	172	14	[	[	NOUN
ejpam-2620	172	15	9	9	NUM
ejpam-2620	172	16	]	]	PUNCT
ejpam-2620	172	17	.	.	PUNCT
ejpam-2620	173	1	a	a	DET
ejpam-2620	173	2	second	second	ADJ
ejpam-2620	173	3	important	important	ADJ
ejpam-2620	173	4	point	point	NOUN
ejpam-2620	173	5	in	in	ADP
ejpam-2620	173	6	svm	svm	PROPN
ejpam-2620	173	7	is	be	AUX
ejpam-2620	173	8	that	that	SCONJ
ejpam-2620	173	9	the	the	DET
ejpam-2620	173	10	kernel	kernel	PROPN
ejpam-2620	173	11	use	use	NOUN
ejpam-2620	173	12	named	name	VERB
ejpam-2620	173	13	as	as	ADP
ejpam-2620	173	14	kernel	kernel	NOUN
ejpam-2620	173	15	trick	trick	NOUN
ejpam-2620	173	16	in	in	ADP
ejpam-2620	173	17	training	training	NOUN
ejpam-2620	173	18	data	datum	NOUN
ejpam-2620	173	19	samples	sample	NOUN
ejpam-2620	173	20	is	be	AUX
ejpam-2620	173	21	in	in	ADP
ejpam-2620	173	22	implicit	implicit	ADJ
ejpam-2620	173	23	nonlinear	nonlinear	ADJ
ejpam-2620	173	24	form	form	NOUN
ejpam-2620	173	25	.	.	PUNCT
ejpam-2620	174	1	for	for	ADP
ejpam-2620	174	2	instance	instance	NOUN
ejpam-2620	174	3	,	,	PUNCT
ejpam-2620	174	4	the	the	DET
ejpam-2620	174	5	form	form	NOUN
ejpam-2620	174	6	of	of	ADP
ejpam-2620	174	7	data	datum	NOUN
ejpam-2620	174	8	with	with	ADP
ejpam-2620	174	9	its	its	PRON
ejpam-2620	174	10	dot	dot	NOUN
ejpam-2620	174	11	product	product	NOUN
ejpam-2620	174	12	taken	take	VERB
ejpam-2620	174	13	(	(	PUNCT
ejpam-2620	174	14	inner	inner	ADJ
ejpam-2620	174	15	product	product	NOUN
ejpam-2620	174	16	)	)	PUNCT
ejpam-2620	174	17	like	like	ADP
ejpam-2620	174	18	the	the	DET
ejpam-2620	174	19	ones	one	NOUN
ejpam-2620	174	20	given	give	VERB
ejpam-2620	174	21	in	in	ADP
ejpam-2620	174	22	figure	figure	NOUN
ejpam-2620	174	23	2	2	NUM
ejpam-2620	174	24	represents	represent	VERB
ejpam-2620	174	25	the	the	DET
ejpam-2620	174	26	kernel	kernel	NOUN
ejpam-2620	174	27	trick	trick	NOUN
ejpam-2620	174	28	.	.	PUNCT
ejpam-2620	175	1	in	in	ADP
ejpam-2620	175	2	this	this	DET
ejpam-2620	175	3	way	way	NOUN
ejpam-2620	175	4	,	,	PUNCT
ejpam-2620	175	5	it	it	PRON
ejpam-2620	175	6	is	be	AUX
ejpam-2620	175	7	possible	possible	ADJ
ejpam-2620	175	8	to	to	PART
ejpam-2620	175	9	work	work	VERB
ejpam-2620	175	10	by	by	ADP
ejpam-2620	175	11	passing	pass	VERB
ejpam-2620	175	12	into	into	ADP
ejpam-2620	175	13	different	different	ADJ
ejpam-2620	175	14	spaces	space	NOUN
ejpam-2620	175	15	in	in	ADP
ejpam-2620	175	16	the	the	DET
ejpam-2620	175	17	data	datum	NOUN
ejpam-2620	175	18	by	by	ADP
ejpam-2620	175	19	setting	set	VERB
ejpam-2620	175	20	up	up	ADP
ejpam-2620	175	21	a	a	DET
ejpam-2620	175	22	linear	linear	ADJ
ejpam-2620	175	23	model	model	NOUN
ejpam-2620	175	24	(	(	PUNCT
ejpam-2620	175	25	right	right	PROPN
ejpam-2620	175	26	pane	pane	NOUN
ejpam-2620	175	27	)	)	PUNCT
ejpam-2620	175	28	instead	instead	ADV
ejpam-2620	175	29	of	of	ADP
ejpam-2620	175	30	using	use	VERB
ejpam-2620	175	31	nonlinear	nonlinear	ADJ
ejpam-2620	175	32	models	model	NOUN
ejpam-2620	175	33	(	(	PUNCT
ejpam-2620	175	34	left	leave	VERB
ejpam-2620	175	35	pane	pane	NOUN
ejpam-2620	175	36	)	)	PUNCT
ejpam-2620	175	37	.	.	PUNCT
ejpam-2620	176	1	data	datum	NOUN
ejpam-2620	176	2	should	should	AUX
ejpam-2620	176	3	be	be	AUX
ejpam-2620	176	4	split	split	VERB
ejpam-2620	176	5	initially	initially	ADV
ejpam-2620	176	6	by	by	ADP
ejpam-2620	176	7	a	a	DET
ejpam-2620	176	8	simple	simple	ADJ
ejpam-2620	176	9	hyperplane	hyperplane	NOUN
ejpam-2620	176	10	to	to	PART
ejpam-2620	176	11	be	be	AUX
ejpam-2620	176	12	able	able	ADJ
ejpam-2620	176	13	to	to	PART
ejpam-2620	176	14	pass	pass	VERB
ejpam-2620	176	15	into	into	ADP
ejpam-2620	176	16	different	different	ADJ
ejpam-2620	176	17	spaces	space	NOUN
ejpam-2620	176	18	.	.	PUNCT
ejpam-2620	177	1	c	c	X
ejpam-2620	177	2	-	-	PUNCT
ejpam-2620	177	3	svc	svc	PROPN
ejpam-2620	177	4	algorithm	algorithm	NOUN
ejpam-2620	177	5	was	be	AUX
ejpam-2620	177	6	used	use	VERB
ejpam-2620	177	7	,	,	PUNCT
ejpam-2620	177	8	which	which	PRON
ejpam-2620	177	9	is	be	AUX
ejpam-2620	177	10	able	able	ADJ
ejpam-2620	177	11	to	to	PART
ejpam-2620	177	12	classify	classify	VERB
ejpam-2620	177	13	svm	svm	ADJ
ejpam-2620	177	14	data	datum	NOUN
ejpam-2620	177	15	with	with	ADP
ejpam-2620	177	16	multiple	multiple	ADJ
ejpam-2620	177	17	classes	class	NOUN
ejpam-2620	177	18	.	.	PUNCT
ejpam-2620	178	1	kernel	kernel	PROPN
ejpam-2620	178	2	trick	trick	NOUN
ejpam-2620	178	3	acts	act	VERB
ejpam-2620	178	4	like	like	ADP
ejpam-2620	178	5	a	a	DET
ejpam-2620	178	6	bridge	bridge	NOUN
ejpam-2620	178	7	from	from	ADP
ejpam-2620	178	8	making	make	VERB
ejpam-2620	178	9	transfer	transfer	NOUN
ejpam-2620	178	10	from	from	ADP
ejpam-2620	178	11	linearity	linearity	NOUN
ejpam-2620	178	12	to	to	ADP
ejpam-2620	178	13	non	non	ADJ
ejpam-2620	178	14	-	-	NOUN
ejpam-2620	178	15	linearity	linearity	NOUN
ejpam-2620	178	16	.	.	PUNCT
ejpam-2620	179	1	in	in	ADP
ejpam-2620	179	2	reality	reality	NOUN
ejpam-2620	179	3	,	,	PUNCT
ejpam-2620	179	4	it	it	PRON
ejpam-2620	179	5	makes	make	VERB
ejpam-2620	179	6	the	the	DET
ejpam-2620	179	7	big	big	ADJ
ejpam-2620	179	8	sized	sized	ADJ
ejpam-2620	179	9	and	and	CCONJ
ejpam-2620	179	10	non	non	ADJ
ejpam-2620	179	11	-	-	ADJ
ejpam-2620	179	12	linear	linear	ADJ
ejpam-2620	179	13	input	input	NOUN
ejpam-2620	179	14	data	datum	NOUN
ejpam-2620	179	15	like	like	ADP
ejpam-2620	179	16	a	a	DET
ejpam-2620	179	17	linear	linear	ADJ
ejpam-2620	179	18	algorithm	algorithm	NOUN
ejpam-2620	179	19	.	.	PUNCT
ejpam-2620	180	1	if	if	SCONJ
ejpam-2620	180	2	the	the	DET
ejpam-2620	180	3	problem	problem	NOUN
ejpam-2620	180	4	is	be	AUX
ejpam-2620	180	5	not	not	PART
ejpam-2620	180	6	linear	linear	ADJ
ejpam-2620	180	7	,	,	PUNCT
ejpam-2620	180	8	learning	learning	NOUN
ejpam-2620	180	9	can	can	AUX
ejpam-2620	180	10	be	be	AUX
ejpam-2620	180	11	done	do	VERB
ejpam-2620	180	12	like	like	ADP
ejpam-2620	180	13	a	a	DET
ejpam-2620	180	14	linear	linear	ADJ
ejpam-2620	180	15	model	model	NOUN
ejpam-2620	180	16	by	by	ADP
ejpam-2620	180	17	going	go	VERB
ejpam-2620	180	18	to	to	ADP
ejpam-2620	180	19	a	a	DET
ejpam-2620	180	20	new	new	ADJ
ejpam-2620	180	21	space	space	NOUN
ejpam-2620	180	22	through	through	ADP
ejpam-2620	180	23	non	non	ADJ
ejpam-2620	180	24	-	-	ADJ
ejpam-2620	180	25	linear	linear	ADJ
ejpam-2620	180	26	∗images	∗image	NOUN
ejpam-2620	180	27	from	from	ADP
ejpam-2620	180	28	[	[	X
ejpam-2620	180	29	2	2	NUM
ejpam-2620	180	30	]	]	X
ejpam-2620	180	31	y.	y.	PROPN
ejpam-2620	180	32	karaca	karaca	PROPN
ejpam-2620	180	33	,	,	PUNCT
ejpam-2620	180	34	ş.	ş.	PROPN
ejpam-2620	180	35	hayta	hayta	PROPN
ejpam-2620	180	36	,	,	PUNCT
ejpam-2620	180	37	r.	r.	PROPN
ejpam-2620	180	38	karabudak	karabudak	PROPN
ejpam-2620	180	39	/	/	SYM
ejpam-2620	180	40	eur	eur	PROPN
ejpam-2620	180	41	.	.	PUNCT
ejpam-2620	181	1	j.	j.	PROPN
ejpam-2620	181	2	pure	pure	PROPN
ejpam-2620	181	3	appl	appl	PROPN
ejpam-2620	181	4	.	.	PROPN
ejpam-2620	181	5	math	math	PROPN
ejpam-2620	181	6	,	,	PUNCT
ejpam-2620	181	7	9	9	NUM
ejpam-2620	181	8	(	(	PUNCT
ejpam-2620	181	9	2016	2016	NUM
ejpam-2620	181	10	)	)	PUNCT
ejpam-2620	181	11	,	,	PUNCT
ejpam-2620	181	12	196	196	NUM
ejpam-2620	181	13	-	-	SYM
ejpam-2620	181	14	215	215	NUM
ejpam-2620	181	15	206	206	NUM
ejpam-2620	181	16	base	base	NOUN
ejpam-2620	181	17	functions	function	NOUN
ejpam-2620	181	18	.	.	PUNCT
ejpam-2620	182	1	the	the	DET
ejpam-2620	182	2	linear	linear	ADJ
ejpam-2620	182	3	model	model	NOUN
ejpam-2620	182	4	in	in	ADP
ejpam-2620	182	5	the	the	DET
ejpam-2620	182	6	new	new	ADJ
ejpam-2620	182	7	space	space	NOUN
ejpam-2620	182	8	corresponds	correspond	VERB
ejpam-2620	182	9	to	to	ADP
ejpam-2620	182	10	the	the	DET
ejpam-2620	182	11	non	non	ADJ
ejpam-2620	182	12	-	-	ADJ
ejpam-2620	182	13	linear	linear	ADJ
ejpam-2620	182	14	model	model	NOUN
ejpam-2620	182	15	in	in	ADP
ejpam-2620	182	16	the	the	DET
ejpam-2620	182	17	initial	initial	ADJ
ejpam-2620	182	18	space	space	NOUN
ejpam-2620	182	19	.	.	PUNCT
ejpam-2620	183	1	this	this	DET
ejpam-2620	183	2	approach	approach	NOUN
ejpam-2620	183	3	is	be	AUX
ejpam-2620	183	4	used	use	VERB
ejpam-2620	183	5	for	for	ADP
ejpam-2620	183	6	classification	classification	NOUN
ejpam-2620	183	7	[	[	X
ejpam-2620	183	8	3	3	NUM
ejpam-2620	183	9	,	,	PUNCT
ejpam-2620	183	10	11	11	NUM
ejpam-2620	183	11	,	,	PUNCT
ejpam-2620	183	12	32	32	NUM
ejpam-2620	183	13	,	,	PUNCT
ejpam-2620	183	14	34	34	NUM
ejpam-2620	183	15	]	]	PUNCT
ejpam-2620	183	16	.	.	PUNCT
ejpam-2620	184	1	figure	figure	NOUN
ejpam-2620	184	2	2	2	NUM
ejpam-2620	184	3	:	:	PUNCT
ejpam-2620	184	4	demonstrating	demonstrate	VERB
ejpam-2620	184	5	the	the	DET
ejpam-2620	184	6	kernel	kernel	NOUN
ejpam-2620	184	7	trick	trick	NOUN
ejpam-2620	184	8	,	,	PUNCT
ejpam-2620	184	9	from	from	ADP
ejpam-2620	184	10	a	a	DET
ejpam-2620	184	11	nonlinear	nonlinear	ADJ
ejpam-2620	184	12	model	model	NOUN
ejpam-2620	184	13	in	in	ADP
ejpam-2620	184	14	the	the	DET
ejpam-2620	184	15	original	original	ADJ
ejpam-2620	184	16	data	data	NOUN
ejpam-2620	184	17	space	space	NOUN
ejpam-2620	184	18	(	(	PUNCT
ejpam-2620	184	19	left	leave	VERB
ejpam-2620	184	20	pane	pane	NOUN
ejpam-2620	184	21	)	)	PUNCT
ejpam-2620	184	22	to	to	ADP
ejpam-2620	184	23	a	a	DET
ejpam-2620	184	24	linear	linear	ADJ
ejpam-2620	184	25	model	model	NOUN
ejpam-2620	184	26	in	in	ADP
ejpam-2620	184	27	the	the	DET
ejpam-2620	184	28	feature	feature	NOUN
ejpam-2620	184	29	space	space	NOUN
ejpam-2620	184	30	(	(	PUNCT
ejpam-2620	184	31	right	right	ADJ
ejpam-2620	184	32	pane	pane	NOUN
ejpam-2620	184	33	)	)	PUNCT
ejpam-2620	184	34	,	,	PUNCT
ejpam-2620	184	35	via	via	ADP
ejpam-2620	184	36	the	the	DET
ejpam-2620	184	37	implicit	implicit	ADJ
ejpam-2620	184	38	map	map	NOUN
ejpam-2620	184	39	φ.[30	φ.[30	PROPN
ejpam-2620	184	40	]	]	PUNCT
ejpam-2620	184	41	lp	lp	NOUN
ejpam-2620	185	1	=	=	NOUN
ejpam-2620	185	2	1/2‖w‖2	1/2‖w‖2	NUM
ejpam-2620	185	3	−	−	NOUN
ejpam-2620	185	4	n	n	ADP
ejpam-2620	185	5	∑	∑	ADP
ejpam-2620	185	6	t=1	t=1	PROPN
ejpam-2620	185	7	αt	αt	PROPN
ejpam-2620	185	8	�	�	PROPN
ejpam-2620	185	9	r	r	PROPN
ejpam-2620	185	10	t	t	PROPN
ejpam-2620	185	11	�	�	PROPN
ejpam-2620	185	12	wt	wt	PROPN
ejpam-2620	185	13	x	x	PROPN
ejpam-2620	185	14	t	t	PROPN
ejpam-2620	185	15	+	+	NOUN
ejpam-2620	185	16	w0)−	w0)−	PROPN
ejpam-2620	185	17	1	1	NUM
ejpam-2620	185	18	]	]	PUNCT
ejpam-2620	185	19	(	(	PUNCT
ejpam-2620	185	20	12	12	NUM
ejpam-2620	185	21	)	)	PUNCT
ejpam-2620	185	22	lp	lp	NOUN
ejpam-2620	186	1	=	=	NOUN
ejpam-2620	186	2	1/2‖w‖2	1/2‖w‖2	NUM
ejpam-2620	186	3	−	−	NOUN
ejpam-2620	186	4	n	n	ADP
ejpam-2620	186	5	∑	∑	ADP
ejpam-2620	186	6	t=1	t=1	PROPN
ejpam-2620	186	7	αt	αt	PROPN
ejpam-2620	186	8	�	�	PROPN
ejpam-2620	186	9	r	r	PROPN
ejpam-2620	186	10	t	t	PROPN
ejpam-2620	186	11	�	�	PROPN
ejpam-2620	186	12	wt	wt	PROPN
ejpam-2620	186	13	x	x	PROPN
ejpam-2620	186	14	t	t	PROPN
ejpam-2620	186	15	+	+	NOUN
ejpam-2620	186	16	w0	w0	PROPN
ejpam-2620	186	17	)	)	PUNCT
ejpam-2620	186	18	+	+	CCONJ
ejpam-2620	186	19	n	n	CCONJ
ejpam-2620	186	20	∑	∑	ADP
ejpam-2620	186	21	t=1	t=1	PROPN
ejpam-2620	186	22	αt	αt	PROPN
ejpam-2620	186	23	]	]	X
ejpam-2620	186	24	(	(	PUNCT
ejpam-2620	186	25	13	13	NUM
ejpam-2620	186	26	)	)	PUNCT
ejpam-2620	186	27	through	through	ADP
ejpam-2620	186	28	equation	equation	NOUN
ejpam-2620	186	29	13	13	NUM
ejpam-2620	186	30	,	,	PUNCT
ejpam-2620	186	31	lagrange	lagrange	NOUN
ejpam-2620	186	32	terms	term	NOUN
ejpam-2620	186	33	are	be	AUX
ejpam-2620	186	34	added	add	VERB
ejpam-2620	186	35	.	.	PUNCT
ejpam-2620	187	1	derivative	derivative	NOUN
ejpam-2620	187	2	is	be	AUX
ejpam-2620	187	3	taken	take	VERB
ejpam-2620	187	4	based	base	VERB
ejpam-2620	187	5	on	on	ADP
ejpam-2620	187	6	the	the	DET
ejpam-2620	187	7	parameters	parameter	NOUN
ejpam-2620	187	8	and	and	CCONJ
ejpam-2620	187	9	reset	reset	VERB
ejpam-2620	187	10	to	to	ADP
ejpam-2620	187	11	zero	zero	NUM
ejpam-2620	187	12	.	.	PUNCT
ejpam-2620	188	1	∂	∂	NUM
ejpam-2620	188	2	lp/∂	lp/∂	PROPN
ejpam-2620	188	3	w=0⇒	w=0⇒	PROPN
ejpam-2620	188	4	w=	w=	PROPN
ejpam-2620	188	5	n	n	CCONJ
ejpam-2620	188	6	∑	∑	PUNCT
ejpam-2620	188	7	t=1	t=1	PROPN
ejpam-2620	188	8	αt	αt	PROPN
ejpam-2620	188	9	r	r	NOUN
ejpam-2620	188	10	t	t	PROPN
ejpam-2620	188	11	x	x	SYM
ejpam-2620	188	12	t	t	PROPN
ejpam-2620	188	13	(	(	PUNCT
ejpam-2620	188	14	14	14	NUM
ejpam-2620	188	15	)	)	PUNCT
ejpam-2620	188	16	∂	∂	NOUN
ejpam-2620	188	17	lp/∂	lp/∂	PROPN
ejpam-2620	188	18	w=0⇒	w=0⇒	NOUN
ejpam-2620	188	19	n	n	PROPN
ejpam-2620	188	20	∑	∑	PUNCT
ejpam-2620	188	21	t=1	t=1	PROPN
ejpam-2620	188	22	αt	αt	PROPN
ejpam-2620	188	23	r	r	NOUN
ejpam-2620	188	24	t	t	NOUN
ejpam-2620	188	25	=	=	SYM
ejpam-2620	188	26	0	0	NUM
ejpam-2620	188	27	(	(	PUNCT
ejpam-2620	188	28	15	15	NUM
ejpam-2620	188	29	)	)	PUNCT
ejpam-2620	188	30	in	in	ADP
ejpam-2620	188	31	this	this	DET
ejpam-2620	188	32	case	case	NOUN
ejpam-2620	188	33	,	,	PUNCT
ejpam-2620	188	34	the	the	DET
ejpam-2620	188	35	conjugate	conjugate	NOUN
ejpam-2620	188	36	,	,	PUNCT
ejpam-2620	188	37	ld	ld	PROPN
ejpam-2620	188	38	=	=	SYM
ejpam-2620	188	39	1/2(wt	1/2(wt	NUM
ejpam-2620	188	40	w)−wt	w)−wt	PROPN
ejpam-2620	188	41	∑	∑	PUNCT
ejpam-2620	188	42	t	t	PROPN
ejpam-2620	188	43	αt	αt	NOUN
ejpam-2620	188	44	r	r	NOUN
ejpam-2620	188	45	t	t	PROPN
ejpam-2620	188	46	x	x	SYM
ejpam-2620	188	47	t	t	PROPN
ejpam-2620	188	48	−w0	−w0	PROPN
ejpam-2620	188	49	∑	∑	PROPN
ejpam-2620	188	50	t	t	PROPN
ejpam-2620	188	51	αt	αt	NOUN
ejpam-2620	188	52	r	r	NOUN
ejpam-2620	188	53	t	t	PROPN
ejpam-2620	188	54	+	+	CCONJ
ejpam-2620	188	55	∑	∑	PROPN
ejpam-2620	188	56	t	t	PROPN
ejpam-2620	188	57	αt	αt	NOUN
ejpam-2620	188	58	=	=	PROPN
ejpam-2620	188	59	−	−	PROPN
ejpam-2620	188	60	1/2(wt	1/2(wt	NUM
ejpam-2620	188	61	w	w	NOUN
ejpam-2620	188	62	)	)	PUNCT
ejpam-2620	188	63	+	+	CCONJ
ejpam-2620	188	64	∑	∑	PROPN
ejpam-2620	188	65	t	t	PROPN
ejpam-2620	188	66	αt	αt	NOUN
ejpam-2620	188	67	=	=	NOUN
ejpam-2620	188	68	−	−	PROPN
ejpam-2620	188	69	1/2	1/2	NUM
ejpam-2620	188	70	∑	∑	PROPN
ejpam-2620	188	71	t	t	PROPN
ejpam-2620	188	72	∑	∑	PROPN
ejpam-2620	188	73	s	s	PROPN
ejpam-2620	188	74	αtαsr	αtαsr	PROPN
ejpam-2620	188	75	t	t	PROPN
ejpam-2620	188	76	rs(x	rs(x	PUNCT
ejpam-2620	188	77	t)t	t)t	X
ejpam-2620	188	78	x	x	X
ejpam-2620	188	79	s	s	X
ejpam-2620	188	80	+	+	CCONJ
ejpam-2620	188	81	∑	∑	PROPN
ejpam-2620	188	82	t	t	PROPN
ejpam-2620	188	83	αt	αt	PROPN
ejpam-2620	188	84	,	,	PUNCT
ejpam-2620	188	85	(	(	PUNCT
ejpam-2620	188	86	16	16	NUM
ejpam-2620	188	87	)	)	PUNCT
ejpam-2620	188	88	is	be	AUX
ejpam-2620	188	89	obtained	obtain	VERB
ejpam-2620	188	90	as	as	ADP
ejpam-2620	188	91	equation	equation	NOUN
ejpam-2620	188	92	17	17	NUM
ejpam-2620	188	93	.	.	PUNCT
ejpam-2620	189	1	the	the	DET
ejpam-2620	189	2	main	main	ADJ
ejpam-2620	189	3	idea	idea	NOUN
ejpam-2620	189	4	in	in	ADP
ejpam-2620	189	5	kernel	kernel	PROPN
ejpam-2620	189	6	machines	machine	NOUN
ejpam-2620	189	7	is	be	AUX
ejpam-2620	189	8	to	to	PART
ejpam-2620	189	9	be	be	AUX
ejpam-2620	189	10	able	able	ADJ
ejpam-2620	189	11	to	to	PART
ejpam-2620	189	12	write	write	VERB
ejpam-2620	189	13	the	the	DET
ejpam-2620	189	14	inner	inner	ADJ
ejpam-2620	189	15	product	product	NOUN
ejpam-2620	189	16	on	on	ADP
ejpam-2620	189	17	base	base	NOUN
ejpam-2620	189	18	functions	function	NOUN
ejpam-2620	189	19	as	as	ADP
ejpam-2620	189	20	a	a	DET
ejpam-2620	189	21	kernel	kernel	NOUN
ejpam-2620	189	22	function	function	NOUN
ejpam-2620	189	23	,	,	PUNCT
ejpam-2620	189	24	which	which	PRON
ejpam-2620	189	25	means	mean	VERB
ejpam-2620	189	26	k(x	k(x	PROPN
ejpam-2620	189	27	t	t	PROPN
ejpam-2620	189	28	,	,	PUNCT
ejpam-2620	189	29	x	x	X
ejpam-2620	189	30	)	)	PUNCT
ejpam-2620	189	31	on	on	ADP
ejpam-2620	189	32	the	the	DET
ejpam-2620	189	33	initial	initial	ADJ
ejpam-2620	189	34	inputs	input	NOUN
ejpam-2620	189	35	y.	y.	PROPN
ejpam-2620	189	36	karaca	karaca	PROPN
ejpam-2620	189	37	,	,	PUNCT
ejpam-2620	189	38	ş.	ş.	PROPN
ejpam-2620	189	39	hayta	hayta	PROPN
ejpam-2620	189	40	,	,	PUNCT
ejpam-2620	189	41	r.	r.	PROPN
ejpam-2620	189	42	karabudak	karabudak	PROPN
ejpam-2620	189	43	/	/	SYM
ejpam-2620	189	44	eur	eur	PROPN
ejpam-2620	189	45	.	.	PUNCT
ejpam-2620	190	1	j.	j.	PROPN
ejpam-2620	190	2	pure	pure	PROPN
ejpam-2620	190	3	appl	appl	PROPN
ejpam-2620	190	4	.	.	PROPN
ejpam-2620	190	5	math	math	PROPN
ejpam-2620	190	6	,	,	PUNCT
ejpam-2620	190	7	9	9	NUM
ejpam-2620	190	8	(	(	PUNCT
ejpam-2620	190	9	2016	2016	NUM
ejpam-2620	190	10	)	)	PUNCT
ejpam-2620	190	11	,	,	PUNCT
ejpam-2620	190	12	196	196	NUM
ejpam-2620	190	13	-	-	SYM
ejpam-2620	190	14	215	215	NUM
ejpam-2620	190	15	207	207	NUM
ejpam-2620	190	16	[	[	PUNCT
ejpam-2620	190	17	11	11	NUM
ejpam-2620	190	18	,	,	PUNCT
ejpam-2620	190	19	20	20	NUM
ejpam-2620	190	20	,	,	PUNCT
ejpam-2620	190	21	32	32	NUM
ejpam-2620	190	22	,	,	PUNCT
ejpam-2620	190	23	34	34	NUM
ejpam-2620	190	24	]	]	PUNCT
ejpam-2620	190	25	.	.	PUNCT
ejpam-2620	191	1	if	if	SCONJ
ejpam-2620	191	2	there	there	PRON
ejpam-2620	191	3	is	be	VERB
ejpam-2620	191	4	a	a	DET
ejpam-2620	191	5	kernel	kernel	NOUN
ejpam-2620	191	6	function	function	NOUN
ejpam-2620	191	7	,	,	PUNCT
ejpam-2620	191	8	there	there	PRON
ejpam-2620	191	9	is	be	VERB
ejpam-2620	191	10	no	no	DET
ejpam-2620	191	11	need	need	NOUN
ejpam-2620	191	12	to	to	PART
ejpam-2620	191	13	conjugate	conjugate	VERB
ejpam-2620	191	14	to	to	ADP
ejpam-2620	191	15	the	the	DET
ejpam-2620	191	16	new	new	ADJ
ejpam-2620	191	17	space	space	NOUN
ejpam-2620	191	18	.	.	PUNCT
ejpam-2620	192	1	in	in	ADP
ejpam-2620	192	2	reality	reality	NOUN
ejpam-2620	192	3	,	,	PUNCT
ejpam-2620	192	4	there	there	PRON
ejpam-2620	192	5	is	be	VERB
ejpam-2620	192	6	a	a	DET
ejpam-2620	192	7	kernel	kernel	NOUN
ejpam-2620	192	8	function	function	NOUN
ejpam-2620	192	9	that	that	PRON
ejpam-2620	192	10	corresponds	correspond	VERB
ejpam-2620	192	11	to	to	ADP
ejpam-2620	192	12	for	for	ADP
ejpam-2620	192	13	each	each	DET
ejpam-2620	192	14	valid	valid	ADJ
ejpam-2620	192	15	kernel	kernel	NOUN
ejpam-2620	192	16	but	but	CCONJ
ejpam-2620	192	17	it	it	PRON
ejpam-2620	192	18	is	be	AUX
ejpam-2620	192	19	easier	easy	ADJ
ejpam-2620	192	20	than	than	ADP
ejpam-2620	192	21	using	use	VERB
ejpam-2620	192	22	k(x	k(x	PROPN
ejpam-2620	192	23	t	t	PROPN
ejpam-2620	192	24	,	,	PUNCT
ejpam-2620	192	25	x	x	X
ejpam-2620	192	26	)	)	PUNCT
ejpam-2620	193	1	[	[	X
ejpam-2620	193	2	11	11	NUM
ejpam-2620	193	3	,	,	PUNCT
ejpam-2620	193	4	20	20	NUM
ejpam-2620	193	5	,	,	PUNCT
ejpam-2620	193	6	32	32	NUM
ejpam-2620	193	7	,	,	PUNCT
ejpam-2620	193	8	34	34	NUM
ejpam-2620	193	9	]	]	PUNCT
ejpam-2620	193	10	.	.	PUNCT
ejpam-2620	194	1	φ(x	φ(x	PROPN
ejpam-2620	194	2	t	t	PROPN
ejpam-2620	194	3	)	)	PUNCT
ejpam-2620	194	4	or	or	CCONJ
ejpam-2620	194	5	φ(x	φ(x	NOUN
ejpam-2620	194	6	)	)	PUNCT
ejpam-2620	194	7	values	value	NOUN
ejpam-2620	194	8	.	.	PUNCT
ejpam-2620	195	1	in	in	ADP
ejpam-2620	195	2	recent	recent	ADJ
ejpam-2620	195	3	years	year	NOUN
ejpam-2620	195	4	,	,	PUNCT
ejpam-2620	195	5	it	it	PRON
ejpam-2620	195	6	has	have	AUX
ejpam-2620	195	7	become	become	VERB
ejpam-2620	195	8	a	a	DET
ejpam-2620	195	9	more	more	ADV
ejpam-2620	195	10	common	common	ADJ
ejpam-2620	195	11	practice	practice	NOUN
ejpam-2620	195	12	to	to	PART
ejpam-2620	195	13	keep	keep	VERB
ejpam-2620	195	14	the	the	DET
ejpam-2620	195	15	data	data	NOUN
ejpam-2620	195	16	sets	set	NOUN
ejpam-2620	195	17	in	in	ADP
ejpam-2620	195	18	k	k	PROPN
ejpam-2620	195	19	kernels	kernel	NOUN
ejpam-2620	195	20	instead	instead	ADV
ejpam-2620	195	21	of	of	ADP
ejpam-2620	195	22	φ(x	φ(x	NOUN
ejpam-2620	195	23	)	)	PUNCT
ejpam-2620	195	24	.	.	PUNCT
ejpam-2620	196	1	it	it	PRON
ejpam-2620	196	2	is	be	AUX
ejpam-2620	196	3	particular	particular	ADJ
ejpam-2620	196	4	easier	easy	ADJ
ejpam-2620	196	5	for	for	ADP
ejpam-2620	196	6	keeping	keep	VERB
ejpam-2620	196	7	the	the	DET
ejpam-2620	196	8	n	n	NUM
ejpam-2620	196	9	×	×	NOUN
ejpam-2620	196	10	n	n	NOUN
ejpam-2620	196	11	matrix	matrix	NOUN
ejpam-2620	196	12	[	[	X
ejpam-2620	196	13	3	3	NUM
ejpam-2620	196	14	,	,	PUNCT
ejpam-2620	196	15	11	11	NUM
ejpam-2620	196	16	,	,	PUNCT
ejpam-2620	196	17	20	20	NUM
ejpam-2620	196	18	,	,	PUNCT
ejpam-2620	196	19	32	32	NUM
ejpam-2620	196	20	,	,	PUNCT
ejpam-2620	196	21	34	34	NUM
ejpam-2620	196	22	]	]	PUNCT
ejpam-2620	196	23	.	.	PUNCT
ejpam-2620	197	1	c	c	X
ejpam-2620	197	2	-	-	PUNCT
ejpam-2620	197	3	svc	svc	PROPN
ejpam-2620	197	4	represents	represent	VERB
ejpam-2620	197	5	two	two	NUM
ejpam-2620	197	6	classes	class	NOUN
ejpam-2620	197	7	or	or	CCONJ
ejpam-2620	197	8	multiple	multiple	ADJ
ejpam-2620	197	9	classes	class	NOUN
ejpam-2620	197	10	.	.	PUNCT
ejpam-2620	198	1	c	c	PROPN
ejpam-2620	198	2	represents	represent	VERB
ejpam-2620	198	3	the	the	DET
ejpam-2620	198	4	number	number	NOUN
ejpam-2620	198	5	of	of	ADP
ejpam-2620	198	6	classes	class	NOUN
ejpam-2620	198	7	.	.	PUNCT
ejpam-2620	199	1	this	this	DET
ejpam-2620	199	2	study	study	NOUN
ejpam-2620	199	3	c	c	PROPN
ejpam-2620	199	4	has	have	VERB
ejpam-2620	199	5	three	three	NUM
ejpam-2620	199	6	classes	class	NOUN
ejpam-2620	199	7	which	which	PRON
ejpam-2620	199	8	are	be	AUX
ejpam-2620	199	9	,	,	PUNCT
ejpam-2620	199	10	rrms	rrm	NOUN
ejpam-2620	199	11	,	,	PUNCT
ejpam-2620	199	12	spms	spm	NOUN
ejpam-2620	199	13	and	and	CCONJ
ejpam-2620	199	14	ppms	ppm	NOUN
ejpam-2620	199	15	.	.	PUNCT
ejpam-2620	200	1	accuracy	accuracy	NOUN
ejpam-2620	200	2	rate	rate	NOUN
ejpam-2620	200	3	estimation	estimation	NOUN
ejpam-2620	200	4	has	have	AUX
ejpam-2620	200	5	been	be	AUX
ejpam-2620	200	6	made	make	VERB
ejpam-2620	200	7	by	by	ADP
ejpam-2620	200	8	getting	get	VERB
ejpam-2620	200	9	a	a	DET
ejpam-2620	200	10	class	class	NOUN
ejpam-2620	200	11	achievement	achievement	NOUN
ejpam-2620	200	12	as	as	ADP
ejpam-2620	200	13	a	a	DET
ejpam-2620	200	14	result	result	NOUN
ejpam-2620	200	15	of	of	ADP
ejpam-2620	200	16	applying	apply	VERB
ejpam-2620	200	17	the	the	DET
ejpam-2620	200	18	radial	radial	ADJ
ejpam-2620	200	19	basis	basis	NOUN
ejpam-2620	200	20	function	function	NOUN
ejpam-2620	200	21	,	,	PUNCT
ejpam-2620	200	22	polynomial	polynomial	ADJ
ejpam-2620	200	23	,	,	PUNCT
ejpam-2620	200	24	sigmoid	sigmoid	NOUN
ejpam-2620	200	25	,	,	PUNCT
ejpam-2620	200	26	linear	linear	ADJ
ejpam-2620	200	27	,	,	PUNCT
ejpam-2620	200	28	respectively	respectively	ADV
ejpam-2620	200	29	.	.	PUNCT
ejpam-2620	201	1	c	c	X
ejpam-2620	201	2	-	-	PUNCT
ejpam-2620	201	3	svc	svc	PROPN
ejpam-2620	201	4	kernel	kernel	PROPN
ejpam-2620	201	5	has	have	AUX
ejpam-2620	201	6	been	be	AUX
ejpam-2620	201	7	applied	apply	VERB
ejpam-2620	201	8	separately	separately	ADV
ejpam-2620	201	9	onto	onto	ADP
ejpam-2620	201	10	the	the	DET
ejpam-2620	201	11	dataset	dataset	NOUN
ejpam-2620	201	12	split	split	NOUN
ejpam-2620	201	13	by	by	ADP
ejpam-2620	201	14	hyper	hyper	ADJ
ejpam-2620	201	15	plane	plane	NOUN
ejpam-2620	201	16	,	,	PUNCT
ejpam-2620	201	17	and	and	CCONJ
ejpam-2620	201	18	the	the	DET
ejpam-2620	201	19	class	class	NOUN
ejpam-2620	201	20	achievement	achievement	NOUN
ejpam-2620	201	21	has	have	AUX
ejpam-2620	201	22	been	be	AUX
ejpam-2620	201	23	measured	measure	VERB
ejpam-2620	201	24	based	base	VERB
ejpam-2620	201	25	on	on	ADP
ejpam-2620	201	26	10	10	NUM
ejpam-2620	201	27	-	-	ADJ
ejpam-2620	201	28	fold	fold	ADJ
ejpam-2620	201	29	cross	cross	NOUN
ejpam-2620	201	30	validation	validation	NOUN
ejpam-2620	201	31	.	.	PUNCT
ejpam-2620	202	1	the	the	DET
ejpam-2620	202	2	two	two	NUM
ejpam-2620	202	3	class	class	NOUN
ejpam-2620	202	4	training	training	NOUN
ejpam-2620	202	5	set	set	NOUN
ejpam-2620	202	6	is	be	AUX
ejpam-2620	202	7	,	,	PUNCT
ejpam-2620	202	8	x	x	SYM
ejpam-2620	202	9	iεr	iεr	PROPN
ejpam-2620	202	10	n	n	CCONJ
ejpam-2620	202	11	,	,	PUNCT
ejpam-2620	202	12	i	i	PRON
ejpam-2620	202	13	=	=	NOUN
ejpam-2620	202	14	1	1	NUM
ejpam-2620	202	15	,	,	PUNCT
ejpam-2620	202	16	.	.	PUNCT
ejpam-2620	202	17	.	.	PUNCT
ejpam-2620	202	18	.	.	PUNCT
ejpam-2620	203	1	,	,	PUNCT
ejpam-2620	203	2	l	l	NOUN
ejpam-2620	203	3	class	class	NOUN
ejpam-2620	203	4	labels	label	NOUN
ejpam-2620	203	5	are	be	AUX
ejpam-2620	203	6	yiε	yiε	NOUN
ejpam-2620	204	1	[	[	X
ejpam-2620	205	1	−1,1	−1,1	X
ejpam-2620	205	2	]	]	X
ejpam-2620	206	1	[	[	X
ejpam-2620	206	2	10	10	NUM
ejpam-2620	206	3	,	,	PUNCT
ejpam-2620	206	4	30	30	NUM
ejpam-2620	206	5	,	,	PUNCT
ejpam-2620	206	6	31	31	NUM
ejpam-2620	206	7	]	]	PUNCT
ejpam-2620	206	8	.	.	PUNCT
ejpam-2620	207	1	the	the	DET
ejpam-2620	207	2	classification	classification	NOUN
ejpam-2620	207	3	optimization	optimization	NOUN
ejpam-2620	207	4	of	of	ADP
ejpam-2620	207	5	c	c	PROPN
ejpam-2620	207	6	-	-	PUNCT
ejpam-2620	207	7	svc	svc	PROPN
ejpam-2620	207	8	algorithm	algorithm	NOUN
ejpam-2620	207	9	is	be	AUX
ejpam-2620	207	10	;	;	PUNCT
ejpam-2620	207	11	constraints	constraint	NOUN
ejpam-2620	207	12	are	be	AUX
ejpam-2620	207	13	:	:	PUNCT
ejpam-2620	207	14	y1	y1	ADJ
ejpam-2620	207	15	�	�	PROPN
ejpam-2620	207	16	wtφ	wtφ	PROPN
ejpam-2620	207	17	�	�	PROPN
ejpam-2620	207	18	x1	x1	PROPN
ejpam-2620	207	19	�	�	PROPN
ejpam-2620	207	20	+	+	CCONJ
ejpam-2620	207	21	b	b	PROPN
ejpam-2620	207	22	�	�	PROPN
ejpam-2620	207	23	≥	≥	NUM
ejpam-2620	207	24	1−	1−	NUM
ejpam-2620	207	25	ξi	ξi	NOUN
ejpam-2620	207	26	,	,	PUNCT
ejpam-2620	207	27	ξi	ξi	PROPN
ejpam-2620	207	28	≥	≥	NOUN
ejpam-2620	207	29	0	0	NUM
ejpam-2620	207	30	,	,	PUNCT
ejpam-2620	207	31	i	i	PRON
ejpam-2620	207	32	=	=	NOUN
ejpam-2620	207	33	1	1	X
ejpam-2620	207	34	.	.	PUNCT
ejpam-2620	207	35	.	.	PUNCT
ejpam-2620	207	36	.	.	PUNCT
ejpam-2620	208	1	l	l	NOUN
ejpam-2620	208	2	(	(	PUNCT
ejpam-2620	208	3	17	17	NUM
ejpam-2620	208	4	)	)	PUNCT
ejpam-2620	208	5	definition	definition	NOUN
ejpam-2620	208	6	of	of	ADP
ejpam-2620	208	7	dual	dual	ADJ
ejpam-2620	208	8	problem	problem	NOUN
ejpam-2620	208	9	is	be	AUX
ejpam-2620	208	10	as	as	SCONJ
ejpam-2620	208	11	follows	follow	VERB
ejpam-2620	208	12	:	:	PUNCT
ejpam-2620	208	13	minα	minα	NOUN
ejpam-2620	208	14	1	1	NUM
ejpam-2620	208	15	2	2	NUM
ejpam-2620	208	16	αtqα−	αtqα−	NUM
ejpam-2620	208	17	et	et	NOUN
ejpam-2620	208	18	,	,	PUNCT
ejpam-2620	208	19	0≤	0≤	NUM
ejpam-2620	208	20	αi	αi	VERB
ejpam-2620	208	21	≤	≤	NUM
ejpam-2620	209	1	c	c	NOUN
ejpam-2620	209	2	,	,	PUNCT
ejpam-2620	209	3	i	i	PRON
ejpam-2620	209	4	=	=	NOUN
ejpam-2620	209	5	1	1	X
ejpam-2620	209	6	.	.	PUNCT
ejpam-2620	209	7	.	.	PUNCT
ejpam-2620	209	8	.	.	PUNCT
ejpam-2620	210	1	l	l	NOUN
ejpam-2620	210	2	(	(	PUNCT
ejpam-2620	210	3	18	18	NUM
ejpam-2620	210	4	)	)	PUNCT
ejpam-2620	210	5	with	with	ADP
ejpam-2620	210	6	constraints	constraint	NOUN
ejpam-2620	210	7	y	y	PROPN
ejpam-2620	210	8	tα	tα	PROPN
ejpam-2620	210	9	=	=	SYM
ejpam-2620	210	10	0	0	PROPN
ejpam-2620	210	11	,	,	PUNCT
ejpam-2620	210	12	where	where	SCONJ
ejpam-2620	210	13	e	e	NOUN
ejpam-2620	210	14	is	be	AUX
ejpam-2620	210	15	a	a	DET
ejpam-2620	210	16	vector	vector	NOUN
ejpam-2620	210	17	of	of	ADP
ejpam-2620	210	18	all	all	DET
ejpam-2620	210	19	ones	one	NOUN
ejpam-2620	210	20	c	c	X
ejpam-2620	210	21	>	>	X
ejpam-2620	210	22	0	0	PUNCT
ejpam-2620	210	23	is	be	AUX
ejpam-2620	210	24	upper	upper	ADJ
ejpam-2620	210	25	bound	bind	VERB
ejpam-2620	210	26	,	,	PUNCT
ejpam-2620	210	27	q	q	PUNCT
ejpam-2620	210	28	is	be	AUX
ejpam-2620	210	29	a	a	DET
ejpam-2620	210	30	l	l	NOUN
ejpam-2620	210	31	×	×	NOUN
ejpam-2620	210	32	l	l	NOUN
ejpam-2620	210	33	positive	positive	ADJ
ejpam-2620	210	34	semi	semi	ADV
ejpam-2620	210	35	define	define	VERB
ejpam-2620	210	36	matrix	matrix	NOUN
ejpam-2620	210	37	q	q	NOUN
ejpam-2620	211	1	i	i	PRON
ejpam-2620	211	2	j	j	PROPN
ejpam-2620	211	3	=	=	SYM
ejpam-2620	211	4	yi	yi	PROPN
ejpam-2620	211	5	y	y	PROPN
ejpam-2620	211	6	jk(x	jk(x	PRON
ejpam-2620	211	7	t	t	PROPN
ejpam-2620	211	8	,	,	PUNCT
ejpam-2620	211	9	x	x	X
ejpam-2620	211	10	)	)	PUNCT
ejpam-2620	211	11	and	and	CCONJ
ejpam-2620	211	12	k(x	k(x	PROPN
ejpam-2620	211	13	t	t	PROPN
ejpam-2620	211	14	,	,	PUNCT
ejpam-2620	211	15	x	x	X
ejpam-2620	211	16	)	)	PUNCT
ejpam-2620	211	17	=	=	PUNCT
ejpam-2620	211	18	φ(x	φ(x	PROPN
ejpam-2620	211	19	t	t	PROPN
ejpam-2620	211	20	t	t	PROPN
ejpam-2620	211	21	)	)	PUNCT
ejpam-2620	211	22	φ(x	φ(x	PROPN
ejpam-2620	211	23	j	j	PROPN
ejpam-2620	211	24	)	)	PUNCT
ejpam-2620	211	25	)	)	PUNCT
ejpam-2620	211	26	is	be	AUX
ejpam-2620	211	27	called	call	VERB
ejpam-2620	211	28	the	the	DET
ejpam-2620	211	29	kernel	kernel	PROPN
ejpam-2620	211	30	functionφ	functionφ	PROPN
ejpam-2620	211	31	transforms	transform	VERB
ejpam-2620	211	32	training	training	NOUN
ejpam-2620	211	33	vectors	vector	NOUN
ejpam-2620	211	34	x	x	PUNCT
ejpam-2620	211	35	t	t	NOUN
ejpam-2620	211	36	into	into	ADP
ejpam-2620	211	37	a	a	DET
ejpam-2620	211	38	higher	high	ADJ
ejpam-2620	211	39	dimensional	dimensional	ADJ
ejpam-2620	211	40	space	space	NOUN
ejpam-2620	211	41	.	.	PUNCT
ejpam-2620	212	1	in	in	ADP
ejpam-2620	212	2	this	this	DET
ejpam-2620	212	3	study	study	NOUN
ejpam-2620	212	4	,	,	PUNCT
ejpam-2620	212	5	there	there	PRON
ejpam-2620	212	6	are	be	VERB
ejpam-2620	212	7	two	two	NUM
ejpam-2620	212	8	different	different	ADJ
ejpam-2620	212	9	data	data	NOUN
ejpam-2620	212	10	sets	set	NOUN
ejpam-2620	212	11	.	.	PUNCT
ejpam-2620	213	1	decision	decision	NOUN
ejpam-2620	213	2	function	function	NOUN
ejpam-2620	213	3	is	be	AUX
ejpam-2620	213	4	;	;	PUNCT
ejpam-2620	213	5	sgn	sgn	NOUN
ejpam-2620	213	6	(	(	PUNCT
ejpam-2620	213	7	l	l	NOUN
ejpam-2620	213	8	∑	∑	PUNCT
ejpam-2620	213	9	i=1	i=1	PROPN
ejpam-2620	213	10	yiαi	yiαi	PROPN
ejpam-2620	213	11	k(x	k(x	PROPN
ejpam-2620	213	12	t	t	PROPN
ejpam-2620	213	13	,	,	PUNCT
ejpam-2620	213	14	x	x	X
ejpam-2620	213	15	)	)	PUNCT
ejpam-2620	214	1	+	+	CCONJ
ejpam-2620	214	2	c	c	X
ejpam-2620	214	3	)	)	PUNCT
ejpam-2620	214	4	(	(	PUNCT
ejpam-2620	214	5	19	19	NUM
ejpam-2620	214	6	)	)	PUNCT
ejpam-2620	214	7	k(x	k(x	PROPN
ejpam-2620	214	8	t	t	PROPN
ejpam-2620	214	9	,	,	PUNCT
ejpam-2620	214	10	x	x	X
ejpam-2620	214	11	)	)	PUNCT
ejpam-2620	215	1	=	=	NOUN
ejpam-2620	215	2	ex	ex	X
ejpam-2620	215	3	p(−γ	p(−γ	NOUN
ejpam-2620	215	4	‖	‖	PROPN
ejpam-2620	215	5	x	x	X
ejpam-2620	215	6	t	t	NOUN
ejpam-2620	215	7	−	−	NOUN
ejpam-2620	215	8	x	x	X
ejpam-2620	215	9	‖2),γ	‖2),γ	PROPN
ejpam-2620	215	10	>	>	X
ejpam-2620	215	11	0	0	PUNCT
ejpam-2620	216	1	(	(	PUNCT
ejpam-2620	216	2	20	20	NUM
ejpam-2620	216	3	)	)	PUNCT
ejpam-2620	216	4	laplacian	laplacian	ADJ
ejpam-2620	216	5	kernel	kernel	NOUN
ejpam-2620	216	6	and	and	CCONJ
ejpam-2620	216	7	anova	anova	PROPN
ejpam-2620	216	8	kernel	kernel	PROPN
ejpam-2620	217	1	[	[	X
ejpam-2620	217	2	11	11	NUM
ejpam-2620	217	3	]	]	PUNCT
ejpam-2620	217	4	are	be	AUX
ejpam-2620	217	5	equivalent	equivalent	ADJ
ejpam-2620	217	6	of	of	ADP
ejpam-2620	217	7	rbf	rbf	PROPN
ejpam-2620	217	8	kernel	kernel	PROPN
ejpam-2620	217	9	.	.	PUNCT
ejpam-2620	218	1	rational	rational	ADJ
ejpam-2620	218	2	quadratic	quadratic	ADJ
ejpam-2620	218	3	kernel	kernel	NOUN
ejpam-2620	218	4	is	be	AUX
ejpam-2620	218	5	an	an	DET
ejpam-2620	218	6	alternative	alternative	NOUN
ejpam-2620	218	7	when	when	SCONJ
ejpam-2620	218	8	we	we	PRON
ejpam-2620	218	9	wish	wish	VERB
ejpam-2620	218	10	to	to	PART
ejpam-2620	218	11	use	use	VERB
ejpam-2620	218	12	gaussian	gaussian	NOUN
ejpam-2620	218	13	.	.	PUNCT
ejpam-2620	219	1	multiquadric	multiquadric	ADJ
ejpam-2620	219	2	kernel	kernel	PROPN
ejpam-2620	219	3	is	be	AUX
ejpam-2620	219	4	non	non	ADJ
ejpam-2620	219	5	-	-	ADJ
ejpam-2620	219	6	positive	positive	ADJ
ejpam-2620	219	7	defined	define	VERB
ejpam-2620	219	8	kernel	kernel	NOUN
ejpam-2620	219	9	.	.	PUNCT
ejpam-2620	220	1	inverse	inverse	NOUN
ejpam-2620	220	2	multiquadric	multiquadric	ADJ
ejpam-2620	220	3	kernel	kernel	PROPN
ejpam-2620	221	1	[	[	X
ejpam-2620	221	2	29	29	NUM
ejpam-2620	221	3	]	]	PUNCT
ejpam-2620	221	4	is	be	AUX
ejpam-2620	221	5	appropriate	appropriate	ADJ
ejpam-2620	221	6	for	for	ADP
ejpam-2620	221	7	feature	feature	NOUN
ejpam-2620	221	8	space	space	NOUN
ejpam-2620	221	9	in	in	ADP
ejpam-2620	221	10	infinite	infinite	ADJ
ejpam-2620	221	11	dimension	dimension	NOUN
ejpam-2620	221	12	.	.	PUNCT
ejpam-2620	222	1	circular	circular	ADJ
ejpam-2620	222	2	kernel	kernel	NOUN
ejpam-2620	223	1	[	[	X
ejpam-2620	223	2	32	32	NUM
ejpam-2620	223	3	]	]	PUNCT
ejpam-2620	223	4	and	and	CCONJ
ejpam-2620	223	5	spherical	spherical	ADJ
ejpam-2620	223	6	kernel	kernel	NOUN
ejpam-2620	223	7	are	be	AUX
ejpam-2620	223	8	appropriate	appropriate	ADJ
ejpam-2620	223	9	for	for	ADP
ejpam-2620	223	10	geostatic	geostatic	ADJ
ejpam-2620	223	11	applications	application	NOUN
ejpam-2620	223	12	,	,	PUNCT
ejpam-2620	223	13	and	and	CCONJ
ejpam-2620	223	14	wave	wave	NOUN
ejpam-2620	223	15	kernel	kernel	PROPN
ejpam-2620	224	1	[	[	X
ejpam-2620	224	2	28	28	NUM
ejpam-2620	224	3	]	]	PUNCT
ejpam-2620	224	4	for	for	ADP
ejpam-2620	224	5	semi	semi	ADJ
ejpam-2620	224	6	-	-	ADJ
ejpam-2620	224	7	definite	definite	ADJ
ejpam-2620	224	8	symmetrical	symmetrical	ADJ
ejpam-2620	224	9	positive	positive	ADJ
ejpam-2620	224	10	data	datum	NOUN
ejpam-2620	224	11	.	.	PUNCT
ejpam-2620	225	1	power	power	NOUN
ejpam-2620	225	2	kernel	kernel	PROPN
ejpam-2620	226	1	[	[	X
ejpam-2620	226	2	32	32	NUM
ejpam-2620	226	3	]	]	PUNCT
ejpam-2620	226	4	proves	prove	VERB
ejpam-2620	226	5	to	to	PART
ejpam-2620	226	6	be	be	AUX
ejpam-2620	226	7	appropriate	appropriate	ADJ
ejpam-2620	226	8	for	for	ADP
ejpam-2620	226	9	positive	positive	ADJ
ejpam-2620	226	10	defined	define	VERB
ejpam-2620	226	11	conditional	conditional	ADJ
ejpam-2620	226	12	applications	application	NOUN
ejpam-2620	226	13	and	and	CCONJ
ejpam-2620	226	14	spline	spline	NOUN
ejpam-2620	226	15	kernel	kernel	PROPN
ejpam-2620	226	16	is	be	AUX
ejpam-2620	226	17	appropriate	appropriate	ADJ
ejpam-2620	226	18	for	for	ADP
ejpam-2620	226	19	partial	partial	ADJ
ejpam-2620	226	20	cubical	cubical	ADJ
ejpam-2620	226	21	polynomial	polynomial	ADJ
ejpam-2620	226	22	data	datum	NOUN
ejpam-2620	226	23	[	[	X
ejpam-2620	226	24	30	30	NUM
ejpam-2620	226	25	]	]	PUNCT
ejpam-2620	226	26	.	.	PUNCT
ejpam-2620	227	1	log	log	PROPN
ejpam-2620	227	2	kernel	kernel	PROPN
ejpam-2620	227	3	is	be	AUX
ejpam-2620	227	4	used	use	VERB
ejpam-2620	227	5	on	on	ADP
ejpam-2620	227	6	images	image	NOUN
ejpam-2620	227	7	.	.	PUNCT
ejpam-2620	228	1	bessel	bessel	ADJ
ejpam-2620	228	2	kernel	kernel	PROPN
ejpam-2620	228	3	fractional	fractional	PROPN
ejpam-2620	228	4	smoothness	smoothness	NOUN
ejpam-2620	228	5	is	be	AUX
ejpam-2620	228	6	also	also	ADV
ejpam-2620	228	7	used	use	VERB
ejpam-2620	228	8	.	.	PUNCT
ejpam-2620	229	1	cauchy	cauchy	ADJ
ejpam-2620	229	2	kernel	kernel	PROPN
ejpam-2620	230	1	[	[	X
ejpam-2620	230	2	4	4	X
ejpam-2620	230	3	]	]	PUNCT
ejpam-2620	230	4	is	be	AUX
ejpam-2620	230	5	used	use	VERB
ejpam-2620	230	6	more	more	ADV
ejpam-2620	230	7	in	in	ADP
ejpam-2620	230	8	space	space	NOUN
ejpam-2620	230	9	with	with	ADP
ejpam-2620	230	10	big	big	ADJ
ejpam-2620	230	11	dimension	dimension	NOUN
ejpam-2620	230	12	.	.	PUNCT
ejpam-2620	231	1	chi	chi	ADJ
ejpam-2620	231	2	-	-	PUNCT
ejpam-2620	231	3	square	square	ADJ
ejpam-2620	231	4	kernel	kernel	NOUN
ejpam-2620	231	5	[	[	X
ejpam-2620	231	6	34	34	NUM
ejpam-2620	231	7	]	]	PUNCT
ejpam-2620	231	8	is	be	AUX
ejpam-2620	231	9	used	use	VERB
ejpam-2620	231	10	for	for	ADP
ejpam-2620	231	11	applications	application	NOUN
ejpam-2620	231	12	that	that	PRON
ejpam-2620	231	13	have	have	VERB
ejpam-2620	231	14	to	to	PART
ejpam-2620	231	15	be	be	AUX
ejpam-2620	231	16	positive	positive	ADJ
ejpam-2620	231	17	defined	define	VERB
ejpam-2620	231	18	that	that	PRON
ejpam-2620	231	19	is	be	AUX
ejpam-2620	231	20	conditional	conditional	ADJ
ejpam-2620	231	21	.	.	PUNCT
ejpam-2620	232	1	histogram	histogram	PROPN
ejpam-2620	232	2	intersection	intersection	NOUN
ejpam-2620	232	3	kernel	kernel	PROPN
ejpam-2620	232	4	is	be	AUX
ejpam-2620	232	5	used	use	VERB
ejpam-2620	232	6	for	for	ADP
ejpam-2620	232	7	image	image	NOUN
ejpam-2620	232	8	recognition	recognition	NOUN
ejpam-2620	232	9	,	,	PUNCT
ejpam-2620	232	10	generalized	generalize	VERB
ejpam-2620	232	11	histogram	histogram	NOUN
ejpam-2620	232	12	intersection	intersection	NOUN
ejpam-2620	232	13	kernel	kernel	NOUN
ejpam-2620	233	1	[	[	X
ejpam-2620	233	2	8	8	NUM
ejpam-2620	233	3	]	]	PUNCT
ejpam-2620	233	4	for	for	ADP
ejpam-2620	233	5	the	the	DET
ejpam-2620	233	6	applications	application	NOUN
ejpam-2620	233	7	with	with	ADP
ejpam-2620	233	8	wide	wide	ADJ
ejpam-2620	233	9	contexts	contexts	NOUN
ejpam-2620	233	10	.	.	PUNCT
ejpam-2620	234	1	a	a	DET
ejpam-2620	234	2	bayesian	bayesian	NOUN
ejpam-2620	234	3	kernel	kernel	NOUN
ejpam-2620	234	4	is	be	AUX
ejpam-2620	234	5	used	use	VERB
ejpam-2620	234	6	in	in	ADP
ejpam-2620	234	7	the	the	DET
ejpam-2620	234	8	prediction	prediction	NOUN
ejpam-2620	234	9	of	of	ADP
ejpam-2620	234	10	protein	protein	NOUN
ejpam-2620	234	11	-	-	PUNCT
ejpam-2620	234	12	protein	protein	NOUN
ejpam-2620	234	13	interaction	interaction	NOUN
ejpam-2620	234	14	data	datum	NOUN
ejpam-2620	234	15	[	[	X
ejpam-2620	234	16	1	1	NUM
ejpam-2620	234	17	,	,	PUNCT
ejpam-2620	234	18	19	19	NUM
ejpam-2620	234	19	]	]	PUNCT
ejpam-2620	234	20	.	.	PUNCT
ejpam-2620	235	1	for	for	SCONJ
ejpam-2620	235	2	practices	practice	NOUN
ejpam-2620	235	3	like	like	ADP
ejpam-2620	235	4	system	system	NOUN
ejpam-2620	235	5	and	and	CCONJ
ejpam-2620	235	6	cybernetics	cybernetics	PROPN
ejpam-2620	235	7	wavelet	wavelet	PROPN
ejpam-2620	235	8	kernel	kernel	PROPN
ejpam-2620	235	9	type	type	NOUN
ejpam-2620	235	10	is	be	AUX
ejpam-2620	235	11	utilized	utilize	VERB
ejpam-2620	235	12	[	[	PUNCT
ejpam-2620	235	13	35	35	NUM
ejpam-2620	235	14	]	]	PUNCT
ejpam-2620	235	15	.	.	PUNCT
ejpam-2620	236	1	while	while	SCONJ
ejpam-2620	236	2	applying	apply	VERB
ejpam-2620	236	3	the	the	DET
ejpam-2620	236	4	ms	ms	PROPN
ejpam-2620	236	5	data	datum	NOUN
ejpam-2620	236	6	set	set	VERB
ejpam-2620	236	7	on	on	ADP
ejpam-2620	236	8	svm	svm	ADJ
ejpam-2620	236	9	algorithm	algorithm	NOUN
ejpam-2620	236	10	,	,	PUNCT
ejpam-2620	236	11	y.	y.	PROPN
ejpam-2620	236	12	karaca	karaca	PROPN
ejpam-2620	236	13	,	,	PUNCT
ejpam-2620	236	14	ş.	ş.	PROPN
ejpam-2620	236	15	hayta	hayta	PROPN
ejpam-2620	236	16	,	,	PUNCT
ejpam-2620	236	17	r.	r.	PROPN
ejpam-2620	236	18	karabudak	karabudak	PROPN
ejpam-2620	236	19	/	/	SYM
ejpam-2620	236	20	eur	eur	PROPN
ejpam-2620	236	21	.	.	PUNCT
ejpam-2620	237	1	j.	j.	PROPN
ejpam-2620	237	2	pure	pure	PROPN
ejpam-2620	237	3	appl	appl	PROPN
ejpam-2620	237	4	.	.	PROPN
ejpam-2620	237	5	math	math	PROPN
ejpam-2620	237	6	,	,	PUNCT
ejpam-2620	237	7	9	9	NUM
ejpam-2620	237	8	(	(	PUNCT
ejpam-2620	237	9	2016	2016	NUM
ejpam-2620	237	10	)	)	PUNCT
ejpam-2620	237	11	,	,	PUNCT
ejpam-2620	237	12	196	196	NUM
ejpam-2620	237	13	-	-	SYM
ejpam-2620	237	14	215	215	NUM
ejpam-2620	237	15	208	208	NUM
ejpam-2620	237	16	optimization	optimization	NOUN
ejpam-2620	237	17	problem	problem	NOUN
ejpam-2620	237	18	has	have	AUX
ejpam-2620	237	19	arisen	arise	VERB
ejpam-2620	237	20	since	since	SCONJ
ejpam-2620	237	21	the	the	DET
ejpam-2620	237	22	data	datum	NOUN
ejpam-2620	237	23	set	set	NOUN
ejpam-2620	237	24	has	have	VERB
ejpam-2620	237	25	multiple	multiple	ADJ
ejpam-2620	237	26	classes	class	NOUN
ejpam-2620	237	27	.	.	PUNCT
ejpam-2620	238	1	it	it	PRON
ejpam-2620	238	2	has	have	AUX
ejpam-2620	238	3	been	be	AUX
ejpam-2620	238	4	possible	possible	ADJ
ejpam-2620	238	5	to	to	PART
ejpam-2620	238	6	overcome	overcome	VERB
ejpam-2620	238	7	this	this	DET
ejpam-2620	238	8	situation	situation	NOUN
ejpam-2620	238	9	by	by	ADP
ejpam-2620	238	10	doing	do	VERB
ejpam-2620	238	11	experimental	experimental	ADJ
ejpam-2620	238	12	applications	application	NOUN
ejpam-2620	238	13	on	on	ADP
ejpam-2620	238	14	different	different	ADJ
ejpam-2620	238	15	kernel	kernel	NOUN
ejpam-2620	238	16	types	type	NOUN
ejpam-2620	238	17	.	.	PUNCT
ejpam-2620	239	1	the	the	DET
ejpam-2620	239	2	optimized	optimize	VERB
ejpam-2620	239	3	values	value	NOUN
ejpam-2620	239	4	of	of	ADP
ejpam-2620	239	5	the	the	DET
ejpam-2620	239	6	parameters	parameter	NOUN
ejpam-2620	239	7	in	in	ADP
ejpam-2620	239	8	the	the	DET
ejpam-2620	239	9	data	datum	NOUN
ejpam-2620	239	10	set	set	VERB
ejpam-2620	239	11	have	have	AUX
ejpam-2620	239	12	been	be	AUX
ejpam-2620	239	13	presented	present	VERB
ejpam-2620	239	14	in	in	ADP
ejpam-2620	239	15	table	table	NOUN
ejpam-2620	239	16	6	6	NUM
ejpam-2620	239	17	.	.	PUNCT
ejpam-2620	240	1	as	as	ADP
ejpam-2620	240	2	a	a	DET
ejpam-2620	240	3	result	result	NOUN
ejpam-2620	240	4	of	of	ADP
ejpam-2620	240	5	our	our	PRON
ejpam-2620	240	6	experimental	experimental	ADJ
ejpam-2620	240	7	studies	study	NOUN
ejpam-2620	240	8	,	,	PUNCT
ejpam-2620	240	9	the	the	DET
ejpam-2620	240	10	best	well	ADV
ejpam-2620	240	11	classifying	classify	VERB
ejpam-2620	240	12	estimation	estimation	NOUN
ejpam-2620	240	13	in	in	ADP
ejpam-2620	240	14	svm	svm	PROPN
ejpam-2620	240	15	has	have	AUX
ejpam-2620	240	16	been	be	AUX
ejpam-2620	240	17	yielded	yield	VERB
ejpam-2620	240	18	through	through	ADP
ejpam-2620	240	19	linear	linear	PROPN
ejpam-2620	240	20	,	,	PUNCT
ejpam-2620	240	21	rbf	rbf	PROPN
ejpam-2620	240	22	,	,	PUNCT
ejpam-2620	240	23	polynomial	polynomial	ADJ
ejpam-2620	240	24	and	and	CCONJ
ejpam-2620	240	25	sigmoid	sigmoid	NOUN
ejpam-2620	240	26	kernel	kernel	NOUN
ejpam-2620	240	27	on	on	ADP
ejpam-2620	240	28	account	account	NOUN
ejpam-2620	240	29	of	of	ADP
ejpam-2620	240	30	the	the	DET
ejpam-2620	240	31	nature	nature	NOUN
ejpam-2620	240	32	of	of	ADP
ejpam-2620	240	33	our	our	PRON
ejpam-2620	240	34	data	datum	NOUN
ejpam-2620	240	35	set	set	VERB
ejpam-2620	240	36	.	.	PUNCT
ejpam-2620	241	1	for	for	ADP
ejpam-2620	241	2	this	this	DET
ejpam-2620	241	3	reason	reason	NOUN
ejpam-2620	241	4	,	,	PUNCT
ejpam-2620	241	5	these	these	DET
ejpam-2620	241	6	four	four	NUM
ejpam-2620	241	7	main	main	ADJ
ejpam-2620	241	8	kernel	kernel	NOUN
ejpam-2620	241	9	types	type	NOUN
ejpam-2620	241	10	have	have	AUX
ejpam-2620	241	11	been	be	AUX
ejpam-2620	241	12	preferred	prefer	VERB
ejpam-2620	241	13	[	[	X
ejpam-2620	241	14	15	15	NUM
ejpam-2620	241	15	]	]	PUNCT
ejpam-2620	241	16	.	.	PUNCT
ejpam-2620	242	1	table	table	NOUN
ejpam-2620	242	2	6	6	NUM
ejpam-2620	242	3	:	:	PUNCT
ejpam-2620	242	4	c	c	X
ejpam-2620	242	5	-	-	PUNCT
ejpam-2620	242	6	svc	svc	PROPN
ejpam-2620	242	7	kernel	kernel	PROPN
ejpam-2620	242	8	parameters	parameters	PROPN
ejpam-2620	242	9	kernel	kernel	PROPN
ejpam-2620	242	10	type	type	PROPN
ejpam-2620	242	11	linear	linear	PROPN
ejpam-2620	242	12	poly	poly	ADJ
ejpam-2620	242	13	rbf	rbf	PROPN
ejpam-2620	242	14	sigmoid	sigmoid	NOUN
ejpam-2620	242	15	degree(poly	degree(poly	PROPN
ejpam-2620	242	16	)	)	PUNCT
ejpam-2620	242	17	1.00	1.00	NUM
ejpam-2620	242	18	2.00	2.00	NUM
ejpam-2620	242	19	1.00	1.00	NUM
ejpam-2620	242	20	3.00	3.00	NUM
ejpam-2620	242	21	gamma	gamma	NOUN
ejpam-2620	242	22	in	in	ADP
ejpam-2620	242	23	kernel	kernel	PROPN
ejpam-2620	242	24	function	function	PROPN
ejpam-2620	242	25	(	(	PUNCT
ejpam-2620	242	26	poly	poly	NOUN
ejpam-2620	242	27	/	/	SYM
ejpam-2620	242	28	rbf	rbf	PROPN
ejpam-2620	242	29	/	/	SYM
ejpam-2620	242	30	sigmoid	sigmoid	NOUN
ejpam-2620	242	31	)	)	PUNCT
ejpam-2620	242	32	0	0	NUM
ejpam-2620	243	1	coef	coef	PROPN
ejpam-2620	243	2	in	in	ADP
ejpam-2620	243	3	kernel	kernel	PROPN
ejpam-2620	243	4	function	function	PROPN
ejpam-2620	243	5	0	0	NUM
ejpam-2620	244	1	tolerance	tolerance	NOUN
ejpam-2620	244	2	of	of	ADP
ejpam-2620	244	3	termination	termination	NOUN
ejpam-2620	244	4	criteria	criterion	NOUN
ejpam-2620	244	5	(	(	PUNCT
ejpam-2620	244	6	eps	eps	PROPN
ejpam-2620	244	7	)	)	PUNCT
ejpam-2620	244	8	0.001	0.001	NUM
ejpam-2620	244	9	c	c	NOUN
ejpam-2620	244	10	(	(	PUNCT
ejpam-2620	244	11	complexity	complexity	NOUN
ejpam-2620	244	12	cost	cost	NOUN
ejpam-2620	244	13	)	)	PUNCT
ejpam-2620	244	14	1	1	NUM
ejpam-2620	244	15	compute	compute	NOUN
ejpam-2620	244	16	probability	probability	NOUN
ejpam-2620	244	17	estimates	estimate	VERB
ejpam-2620	244	18	1	1	NUM
ejpam-2620	244	19	use	use	VERB
ejpam-2620	244	20	shrinking	shrink	VERB
ejpam-2620	244	21	heuristics	heuristic	NOUN
ejpam-2620	244	22	1	1	NUM
ejpam-2620	244	23	data	datum	NOUN
ejpam-2620	244	24	normalization	normalization	NOUN
ejpam-2620	244	25	1	1	NUM
ejpam-2620	244	26	as	as	ADP
ejpam-2620	244	27	to	to	ADP
ejpam-2620	244	28	(	(	PUNCT
ejpam-2620	244	29	radial	radial	ADJ
ejpam-2620	244	30	basis	basis	NOUN
ejpam-2620	244	31	function	function	NOUN
ejpam-2620	244	32	)	)	PUNCT
ejpam-2620	244	33	kernel	kernel	PROPN
ejpam-2620	244	34	,	,	PUNCT
ejpam-2620	244	35	in	in	ADP
ejpam-2620	244	36	the	the	DET
ejpam-2620	244	37	study	study	NOUN
ejpam-2620	244	38	gaussian	gaussian	ADJ
ejpam-2620	244	39	kernel	kernel	PROPN
ejpam-2620	244	40	type	type	NOUN
ejpam-2620	244	41	has	have	AUX
ejpam-2620	244	42	been	be	AUX
ejpam-2620	244	43	used	use	VERB
ejpam-2620	244	44	.	.	PUNCT
ejpam-2620	245	1	sigma	sigma	PROPN
ejpam-2620	245	2	(	(	PUNCT
ejpam-2620	245	3	s	s	X
ejpam-2620	245	4	)	)	PUNCT
ejpam-2620	245	5	plays	play	VERB
ejpam-2620	245	6	a	a	DET
ejpam-2620	245	7	major	major	ADJ
ejpam-2620	245	8	role	role	NOUN
ejpam-2620	245	9	in	in	ADP
ejpam-2620	245	10	the	the	DET
ejpam-2620	245	11	performance	performance	NOUN
ejpam-2620	245	12	of	of	ADP
ejpam-2620	245	13	the	the	DET
ejpam-2620	245	14	kernel	kernel	NOUN
ejpam-2620	245	15	.	.	PUNCT
ejpam-2620	246	1	s	s	PART
ejpam-2620	246	2	value	value	NOUN
ejpam-2620	246	3	should	should	AUX
ejpam-2620	246	4	be	be	AUX
ejpam-2620	246	5	tuned	tune	VERB
ejpam-2620	246	6	with	with	ADP
ejpam-2620	246	7	keen	keen	ADJ
ejpam-2620	246	8	attention	attention	NOUN
ejpam-2620	246	9	based	base	VERB
ejpam-2620	246	10	on	on	ADP
ejpam-2620	246	11	the	the	DET
ejpam-2620	246	12	available	available	ADJ
ejpam-2620	246	13	problem	problem	NOUN
ejpam-2620	246	14	.	.	PUNCT
ejpam-2620	247	1	if	if	SCONJ
ejpam-2620	247	2	an	an	DET
ejpam-2620	247	3	extreme	extreme	ADJ
ejpam-2620	247	4	value	value	NOUN
ejpam-2620	247	5	is	be	AUX
ejpam-2620	247	6	assigned	assign	VERB
ejpam-2620	247	7	for	for	ADP
ejpam-2620	247	8	the	the	DET
ejpam-2620	247	9	sigma	sigma	NOUN
ejpam-2620	247	10	,	,	PUNCT
ejpam-2620	247	11	the	the	DET
ejpam-2620	247	12	exponential	exponential	ADJ
ejpam-2620	247	13	value	value	NOUN
ejpam-2620	247	14	acts	act	VERB
ejpam-2620	247	15	almost	almost	ADV
ejpam-2620	247	16	linearly	linearly	ADV
ejpam-2620	247	17	and	and	CCONJ
ejpam-2620	247	18	loses	lose	VERB
ejpam-2620	247	19	power	power	NOUN
ejpam-2620	247	20	for	for	ADP
ejpam-2620	247	21	the	the	DET
ejpam-2620	247	22	big	big	ADJ
ejpam-2620	247	23	sized	sized	ADJ
ejpam-2620	247	24	non	non	ADJ
ejpam-2620	247	25	-	-	ADJ
ejpam-2620	247	26	linear	linear	ADJ
ejpam-2620	247	27	data	datum	NOUN
ejpam-2620	247	28	[	[	X
ejpam-2620	247	29	11	11	NUM
ejpam-2620	247	30	,	,	PUNCT
ejpam-2620	247	31	15	15	NUM
ejpam-2620	247	32	,	,	PUNCT
ejpam-2620	247	33	20	20	NUM
ejpam-2620	247	34	]	]	PUNCT
ejpam-2620	247	35	.	.	PUNCT
ejpam-2620	248	1	thus	thus	ADV
ejpam-2620	248	2	,	,	PUNCT
ejpam-2620	248	3	there	there	PRON
ejpam-2620	248	4	will	will	AUX
ejpam-2620	248	5	be	be	AUX
ejpam-2620	248	6	deprivation	deprivation	NOUN
ejpam-2620	248	7	of	of	ADP
ejpam-2620	248	8	function	function	NOUN
ejpam-2620	248	9	regulation	regulation	NOUN
ejpam-2620	248	10	,	,	PUNCT
ejpam-2620	248	11	and	and	CCONJ
ejpam-2620	248	12	the	the	DET
ejpam-2620	248	13	determination	determination	NOUN
ejpam-2620	248	14	threshold	threshold	NOUN
ejpam-2620	248	15	will	will	AUX
ejpam-2620	248	16	be	be	AUX
ejpam-2620	248	17	sensitive	sensitive	ADJ
ejpam-2620	248	18	for	for	ADP
ejpam-2620	248	19	noise	noise	NOUN
ejpam-2620	248	20	.	.	PUNCT
ejpam-2620	249	1	gaussian	gaussian	ADJ
ejpam-2620	249	2	kernel	kernel	PROPN
ejpam-2620	249	3	has	have	AUX
ejpam-2620	249	4	been	be	AUX
ejpam-2620	249	5	chosen	choose	VERB
ejpam-2620	249	6	for	for	ADP
ejpam-2620	249	7	the	the	DET
ejpam-2620	249	8	ms	ms	PROPN
ejpam-2620	249	9	data	data	PROPN
ejpam-2620	249	10	set	set	VERB
ejpam-2620	249	11	that	that	PRON
ejpam-2620	249	12	is	be	AUX
ejpam-2620	249	13	not	not	PART
ejpam-2620	249	14	classified	classify	VERB
ejpam-2620	249	15	linearly	linearly	ADV
ejpam-2620	249	16	.	.	PUNCT
ejpam-2620	250	1	for	for	ADP
ejpam-2620	250	2	this	this	DET
ejpam-2620	250	3	reason	reason	NOUN
ejpam-2620	250	4	,	,	PUNCT
ejpam-2620	250	5	it	it	PRON
ejpam-2620	250	6	has	have	AUX
ejpam-2620	250	7	been	be	AUX
ejpam-2620	250	8	deemed	deem	VERB
ejpam-2620	250	9	to	to	PART
ejpam-2620	250	10	be	be	AUX
ejpam-2620	250	11	the	the	DET
ejpam-2620	250	12	appropriate	appropriate	ADJ
ejpam-2620	250	13	kernel	kernel	NOUN
ejpam-2620	250	14	in	in	ADP
ejpam-2620	250	15	our	our	PRON
ejpam-2620	250	16	data	datum	NOUN
ejpam-2620	250	17	set	set	VERB
ejpam-2620	250	18	.	.	PUNCT
ejpam-2620	251	1	s	s	PART
ejpam-2620	251	2	value	value	NOUN
ejpam-2620	251	3	is	be	AUX
ejpam-2620	251	4	chosen	choose	VERB
ejpam-2620	251	5	to	to	PART
ejpam-2620	251	6	be	be	AUX
ejpam-2620	251	7	3	3	NUM
ejpam-2620	251	8	.	.	PUNCT
ejpam-2620	252	1	the	the	DET
ejpam-2620	252	2	equation	equation	NOUN
ejpam-2620	252	3	,	,	PUNCT
ejpam-2620	252	4	k	k	PROPN
ejpam-2620	252	5	�	�	PROPN
ejpam-2620	252	6	x	x	SYM
ejpam-2620	252	7	t	t	PROPN
ejpam-2620	252	8	,	,	PUNCT
ejpam-2620	252	9	x	x	X
ejpam-2620	252	10	�	�	PROPN
ejpam-2620	252	11	=	=	PUNCT
ejpam-2620	252	12	ex	ex	PROPN
ejpam-2620	252	13	p	p	PROPN
ejpam-2620	252	14	�	�	PROPN
ejpam-2620	252	15	−	−	PROPN
ejpam-2620	252	16	‖	‖	PROPN
ejpam-2620	252	17	x	x	PROPN
ejpam-2620	252	18	t	t	NOUN
ejpam-2620	252	19	−	−	NOUN
ejpam-2620	252	20	x	x	SYM
ejpam-2620	252	21	‖2	‖2	NOUN
ejpam-2620	252	22	2s2	2s2	NUM
ejpam-2620	252	23	�	�	PROPN
ejpam-2620	252	24	,	,	PUNCT
ejpam-2620	252	25	(	(	PUNCT
ejpam-2620	252	26	21	21	NUM
ejpam-2620	252	27	)	)	PUNCT
ejpam-2620	252	28	represents	represent	VERB
ejpam-2620	252	29	the	the	DET
ejpam-2620	252	30	global	global	ADJ
ejpam-2620	252	31	kernel	kernel	NOUN
ejpam-2620	252	32	.	.	PUNCT
ejpam-2620	253	1	x	x	PROPN
ejpam-2620	253	2	t	t	PROPN
ejpam-2620	253	3	determines	determine	VERB
ejpam-2620	253	4	the	the	DET
ejpam-2620	253	5	center	center	NOUN
ejpam-2620	253	6	and	and	CCONJ
ejpam-2620	253	7	s	s	VERB
ejpam-2620	253	8	determines	determine	VERB
ejpam-2620	253	9	the	the	DET
ejpam-2620	253	10	radius	radius	NOUN
ejpam-2620	253	11	that	that	PRON
ejpam-2620	253	12	has	have	AUX
ejpam-2620	253	13	been	be	AUX
ejpam-2620	253	14	formerly	formerly	ADV
ejpam-2620	253	15	made	make	VERB
ejpam-2620	253	16	constant	constant	ADJ
ejpam-2620	253	17	.	.	PUNCT
ejpam-2620	254	1	when	when	SCONJ
ejpam-2620	254	2	the	the	DET
ejpam-2620	254	3	radius	radius	NOUN
ejpam-2620	254	4	is	be	AUX
ejpam-2620	254	5	large	large	ADJ
ejpam-2620	254	6	,	,	PUNCT
ejpam-2620	254	7	hyperplane	hyperplane	NOUN
ejpam-2620	254	8	becomes	become	VERB
ejpam-2620	254	9	more	more	ADV
ejpam-2620	254	10	flat	flat	ADJ
ejpam-2620	254	11	.	.	PUNCT
ejpam-2620	255	1	the	the	DET
ejpam-2620	255	2	best	good	ADJ
ejpam-2620	255	3	results	result	NOUN
ejpam-2620	255	4	are	be	AUX
ejpam-2620	255	5	found	find	VERB
ejpam-2620	255	6	through	through	ADP
ejpam-2620	255	7	cross	cross	NOUN
ejpam-2620	255	8	validation	validation	NOUN
ejpam-2620	255	9	.	.	PUNCT
ejpam-2620	256	1	while	while	SCONJ
ejpam-2620	256	2	adjusting	adjust	VERB
ejpam-2620	256	3	the	the	DET
ejpam-2620	256	4	two	two	NUM
ejpam-2620	256	5	upper	upper	ADJ
ejpam-2620	256	6	parameters	parameter	NOUN
ejpam-2620	256	7	with	with	ADP
ejpam-2620	256	8	cross	cross	NOUN
ejpam-2620	256	9	validation	validation	NOUN
ejpam-2620	256	10	,	,	PUNCT
ejpam-2620	256	11	searching	search	VERB
ejpam-2620	256	12	is	be	AUX
ejpam-2620	256	13	done	do	VERB
ejpam-2620	256	14	in	in	ADP
ejpam-2620	256	15	two	two	NUM
ejpam-2620	256	16	dimensions	dimension	NOUN
ejpam-2620	256	17	for	for	ADP
ejpam-2620	256	18	all	all	DET
ejpam-2620	256	19	(	(	PUNCT
ejpam-2620	256	20	c	c	NOUN
ejpam-2620	256	21	and	and	CCONJ
ejpam-2620	256	22	s2	s2	PROPN
ejpam-2620	256	23	)	)	PUNCT
ejpam-2620	256	24	possible	possible	ADJ
ejpam-2620	256	25	value	value	NOUN
ejpam-2620	256	26	duals	dual	NOUN
ejpam-2620	256	27	.	.	PUNCT
ejpam-2620	257	1	polynomial	polynomial	ADJ
ejpam-2620	257	2	kernel	kernel	PROPN
ejpam-2620	257	3	is	be	AUX
ejpam-2620	257	4	a	a	DET
ejpam-2620	257	5	kernel	kernel	NOUN
ejpam-2620	257	6	that	that	PRON
ejpam-2620	257	7	is	be	AUX
ejpam-2620	257	8	appropriate	appropriate	ADJ
ejpam-2620	257	9	for	for	SCONJ
ejpam-2620	257	10	the	the	DET
ejpam-2620	257	11	non	non	ADJ
ejpam-2620	257	12	-	-	ADJ
ejpam-2620	257	13	stationary	stationary	ADJ
ejpam-2620	257	14	data	datum	NOUN
ejpam-2620	257	15	set	set	VERB
ejpam-2620	257	16	.	.	PUNCT
ejpam-2620	258	1	like	like	ADP
ejpam-2620	258	2	the	the	DET
ejpam-2620	258	3	data	datum	NOUN
ejpam-2620	258	4	set	set	VERB
ejpam-2620	258	5	used	use	VERB
ejpam-2620	258	6	in	in	ADP
ejpam-2620	258	7	our	our	PRON
ejpam-2620	258	8	study	study	NOUN
ejpam-2620	258	9	,	,	PUNCT
ejpam-2620	258	10	it	it	PRON
ejpam-2620	258	11	is	be	AUX
ejpam-2620	258	12	the	the	DET
ejpam-2620	258	13	appropriate	appropriate	ADJ
ejpam-2620	258	14	kernel	kernel	NOUN
ejpam-2620	258	15	type	type	NOUN
ejpam-2620	258	16	for	for	ADP
ejpam-2620	258	17	the	the	DET
ejpam-2620	258	18	normalized	normalize	VERB
ejpam-2620	258	19	training	training	NOUN
ejpam-2620	258	20	data	datum	NOUN
ejpam-2620	258	21	set	set	VERB
ejpam-2620	258	22	[	[	X
ejpam-2620	258	23	30	30	NUM
ejpam-2620	258	24	]	]	PUNCT
ejpam-2620	258	25	.	.	PUNCT
ejpam-2620	259	1	for	for	ADP
ejpam-2620	259	2	degree	degree	NOUN
ejpam-2620	259	3	q	q	PROPN
ejpam-2620	259	4	,	,	PUNCT
ejpam-2620	259	5	k(x	k(x	PROPN
ejpam-2620	259	6	t	t	PROPN
ejpam-2620	259	7	,	,	PUNCT
ejpam-2620	259	8	x	x	X
ejpam-2620	259	9	)	)	PUNCT
ejpam-2620	259	10	=	=	SYM
ejpam-2620	259	11	(	(	PUNCT
ejpam-2620	259	12	x	x	X
ejpam-2620	259	13	t	t	NOUN
ejpam-2620	259	14	x	x	SYM
ejpam-2620	259	15	t	t	PROPN
ejpam-2620	259	16	+	+	NUM
ejpam-2620	259	17	1)q	1)q	NOUN
ejpam-2620	259	18	,	,	PUNCT
ejpam-2620	259	19	(	(	PUNCT
ejpam-2620	259	20	22	22	NUM
ejpam-2620	259	21	)	)	PUNCT
ejpam-2620	259	22	it	it	PRON
ejpam-2620	259	23	is	be	AUX
ejpam-2620	259	24	written	write	VERB
ejpam-2620	259	25	as	as	ADP
ejpam-2620	259	26	equation	equation	NOUN
ejpam-2620	259	27	25	25	NUM
ejpam-2620	259	28	.	.	PUNCT
ejpam-2620	260	1	and	and	CCONJ
ejpam-2620	260	2	it	it	PRON
ejpam-2620	260	3	is	be	AUX
ejpam-2620	260	4	necessary	necessary	ADJ
ejpam-2620	260	5	that	that	SCONJ
ejpam-2620	260	6	the	the	DET
ejpam-2620	260	7	q	q	NOUN
ejpam-2620	260	8	is	be	AUX
ejpam-2620	260	9	predetermined	predetermine	VERB
ejpam-2620	260	10	.	.	PUNCT
ejpam-2620	261	1	for	for	ADP
ejpam-2620	261	2	th	th	X
ejpam-2620	261	3	quadratic	quadratic	PROPN
ejpam-2620	261	4	y.	y.	PROPN
ejpam-2620	261	5	karaca	karaca	PROPN
ejpam-2620	261	6	,	,	PUNCT
ejpam-2620	261	7	ş.	ş.	PROPN
ejpam-2620	261	8	hayta	hayta	PROPN
ejpam-2620	261	9	,	,	PUNCT
ejpam-2620	261	10	r.	r.	PROPN
ejpam-2620	261	11	karabudak	karabudak	PROPN
ejpam-2620	261	12	/	/	SYM
ejpam-2620	261	13	eur	eur	PROPN
ejpam-2620	261	14	.	.	PUNCT
ejpam-2620	262	1	j.	j.	PROPN
ejpam-2620	262	2	pure	pure	PROPN
ejpam-2620	262	3	appl	appl	PROPN
ejpam-2620	262	4	.	.	PROPN
ejpam-2620	262	5	math	math	PROPN
ejpam-2620	262	6	,	,	PUNCT
ejpam-2620	262	7	9	9	NUM
ejpam-2620	262	8	(	(	PUNCT
ejpam-2620	262	9	2016	2016	NUM
ejpam-2620	262	10	)	)	PUNCT
ejpam-2620	262	11	,	,	PUNCT
ejpam-2620	262	12	196	196	NUM
ejpam-2620	262	13	-	-	SYM
ejpam-2620	262	14	215	215	NUM
ejpam-2620	262	15	209	209	NUM
ejpam-2620	262	16	kernel	kernel	NOUN
ejpam-2620	262	17	,	,	PUNCT
ejpam-2620	262	18	q	q	NOUN
ejpam-2620	262	19	degree	degree	NOUN
ejpam-2620	262	20	is	be	AUX
ejpam-2620	262	21	chosen	choose	VERB
ejpam-2620	262	22	as	as	ADP
ejpam-2620	262	23	2	2	NUM
ejpam-2620	262	24	;	;	PUNCT
ejpam-2620	262	25	for	for	ADP
ejpam-2620	262	26	q	q	NOUN
ejpam-2620	262	27	=	=	SYM
ejpam-2620	262	28	2	2	NUM
ejpam-2620	262	29	:	:	PUNCT
ejpam-2620	262	30	k(x	k(x	PROPN
ejpam-2620	262	31	,	,	PUNCT
ejpam-2620	262	32	y	y	NOUN
ejpam-2620	262	33	)	)	PUNCT
ejpam-2620	262	34	=(	=(	NOUN
ejpam-2620	262	35	x	x	PROPN
ejpam-2620	262	36	t	t	PROPN
ejpam-2620	262	37	y	y	PROPN
ejpam-2620	263	1	+	+	PROPN
ejpam-2620	263	2	1)2	1)2	NUM
ejpam-2620	263	3	=(	=(	NOUN
ejpam-2620	263	4	x1	x1	NOUN
ejpam-2620	263	5	y1	y1	PROPN
ejpam-2620	264	1	+	+	CCONJ
ejpam-2620	264	2	x2	x2	ADJ
ejpam-2620	264	3	y2	y2	NOUN
ejpam-2620	264	4	+	+	CCONJ
ejpam-2620	265	1	1)2	1)2	NUM
ejpam-2620	265	2	=	=	SYM
ejpam-2620	265	3	1	1	NUM
ejpam-2620	265	4	+	+	NUM
ejpam-2620	265	5	2x1	2x1	NUM
ejpam-2620	265	6	y1	y1	NOUN
ejpam-2620	265	7	+	+	CCONJ
ejpam-2620	265	8	2x2	2x2	NUM
ejpam-2620	265	9	y2	y2	NOUN
ejpam-2620	265	10	+	+	CCONJ
ejpam-2620	265	11	2x1	2x1	NUM
ejpam-2620	265	12	y1	y1	NOUN
ejpam-2620	265	13	x2	x2	NOUN
ejpam-2620	266	1	y2	y2	PROPN
ejpam-2620	267	1	+	+	CCONJ
ejpam-2620	267	2	x2	x2	PROPN
ejpam-2620	267	3	1	1	NUM
ejpam-2620	267	4	y2	y2	NOUN
ejpam-2620	267	5	1	1	NUM
ejpam-2620	268	1	+	+	CCONJ
ejpam-2620	268	2	x2	x2	PROPN
ejpam-2620	268	3	2	2	NUM
ejpam-2620	268	4	y2	y2	NOUN
ejpam-2620	268	5	2	2	NUM
ejpam-2620	268	6	.	.	PUNCT
ejpam-2620	269	1	(	(	PUNCT
ejpam-2620	269	2	23	23	NUM
ejpam-2620	269	3	)	)	PUNCT
ejpam-2620	269	4	the	the	DET
ejpam-2620	269	5	kernel	kernel	NOUN
ejpam-2620	269	6	,	,	PUNCT
ejpam-2620	269	7	φ	φ	PROPN
ejpam-2620	269	8	�	�	PROPN
ejpam-2620	269	9	x	x	SYM
ejpam-2620	269	10	�	�	PROPN
ejpam-2620	269	11	=	=	SYM
ejpam-2620	269	12	�	�	PROPN
ejpam-2620	269	13	1	1	NUM
ejpam-2620	269	14	,	,	PUNCT
ejpam-2620	269	15	p	p	NOUN
ejpam-2620	269	16	2x1	2x1	NUM
ejpam-2620	269	17	,	,	PUNCT
ejpam-2620	269	18	p	p	NOUN
ejpam-2620	269	19	2x2	2x2	NUM
ejpam-2620	269	20	,	,	PUNCT
ejpam-2620	269	21	p	p	PROPN
ejpam-2620	269	22	2x1	2x1	NUM
ejpam-2620	269	23	x2	x2	NOUN
ejpam-2620	269	24	,	,	PUNCT
ejpam-2620	269	25	x2	x2	PROPN
ejpam-2620	269	26	1	1	NUM
ejpam-2620	269	27	,	,	PUNCT
ejpam-2620	269	28	x2	x2	PROPN
ejpam-2620	269	29	2	2	NUM
ejpam-2620	269	30	�	�	PROPN
ejpam-2620	269	31	t	t	PROPN
ejpam-2620	269	32	(	(	PUNCT
ejpam-2620	269	33	24	24	NUM
ejpam-2620	269	34	)	)	PUNCT
ejpam-2620	269	35	corresponds	correspond	VERB
ejpam-2620	269	36	to	to	ADP
ejpam-2620	269	37	the	the	DET
ejpam-2620	269	38	inner	inner	ADJ
ejpam-2620	269	39	product	product	NOUN
ejpam-2620	269	40	of	of	ADP
ejpam-2620	269	41	the	the	DET
ejpam-2620	269	42	base	base	NOUN
ejpam-2620	269	43	function	function	NOUN
ejpam-2620	269	44	.	.	PUNCT
ejpam-2620	270	1	sigmoid	sigmoid	NOUN
ejpam-2620	270	2	kernel	kernel	PROPN
ejpam-2620	270	3	is	be	AUX
ejpam-2620	270	4	known	know	VERB
ejpam-2620	270	5	as	as	ADP
ejpam-2620	270	6	the	the	DET
ejpam-2620	270	7	multi	multi	ADJ
ejpam-2620	270	8	-	-	ADJ
ejpam-2620	270	9	layered	layered	ADJ
ejpam-2620	270	10	perceptron	perceptron	PROPN
ejpam-2620	270	11	kernel	kernel	PROPN
ejpam-2620	271	1	[	[	X
ejpam-2620	271	2	20	20	NUM
ejpam-2620	271	3	]	]	PUNCT
ejpam-2620	271	4	.	.	PUNCT
ejpam-2620	272	1	it	it	PRON
ejpam-2620	272	2	is	be	AUX
ejpam-2620	272	3	used	use	VERB
ejpam-2620	272	4	as	as	ADP
ejpam-2620	272	5	the	the	DET
ejpam-2620	272	6	activation	activation	NOUN
ejpam-2620	272	7	function	function	NOUN
ejpam-2620	272	8	in	in	ADP
ejpam-2620	272	9	artificial	artificial	ADJ
ejpam-2620	272	10	neurons	neuron	NOUN
ejpam-2620	272	11	.	.	PUNCT
ejpam-2620	273	1	this	this	DET
ejpam-2620	273	2	kernel	kernel	NOUN
ejpam-2620	273	3	has	have	AUX
ejpam-2620	273	4	been	be	AUX
ejpam-2620	273	5	preferred	prefer	VERB
ejpam-2620	273	6	since	since	SCONJ
ejpam-2620	273	7	the	the	DET
ejpam-2620	273	8	ms	ms	PROPN
ejpam-2620	273	9	data	data	PROPN
ejpam-2620	273	10	set	set	VERB
ejpam-2620	273	11	is	be	AUX
ejpam-2620	273	12	appropriate	appropriate	ADJ
ejpam-2620	273	13	for	for	ADP
ejpam-2620	273	14	multi	multi	ADJ
ejpam-2620	273	15	-	-	ADJ
ejpam-2620	273	16	layer	layer	ADJ
ejpam-2620	273	17	learning	learning	NOUN
ejpam-2620	273	18	.	.	PUNCT
ejpam-2620	274	1	in	in	ADP
ejpam-2620	274	2	addition	addition	NOUN
ejpam-2620	274	3	to	to	ADP
ejpam-2620	274	4	this	this	PRON
ejpam-2620	274	5	,	,	PUNCT
ejpam-2620	274	6	it	it	PRON
ejpam-2620	274	7	yields	yield	VERB
ejpam-2620	274	8	a	a	DET
ejpam-2620	274	9	good	good	ADJ
ejpam-2620	274	10	level	level	NOUN
ejpam-2620	274	11	of	of	ADP
ejpam-2620	274	12	performance	performance	NOUN
ejpam-2620	274	13	in	in	ADP
ejpam-2620	274	14	practice	practice	NOUN
ejpam-2620	274	15	although	although	SCONJ
ejpam-2620	274	16	it	it	PRON
ejpam-2620	274	17	is	be	AUX
ejpam-2620	274	18	conditionally	conditionally	ADV
ejpam-2620	274	19	positive	positive	ADJ
ejpam-2620	274	20	definite	definite	ADJ
ejpam-2620	274	21	[	[	X
ejpam-2620	274	22	3	3	NUM
ejpam-2620	274	23	,	,	PUNCT
ejpam-2620	274	24	29	29	NUM
ejpam-2620	274	25	]	]	PUNCT
ejpam-2620	274	26	.	.	PUNCT
ejpam-2620	275	1	alpha	alpha	NOUN
ejpam-2620	275	2	value	value	NOUN
ejpam-2620	275	3	gets	get	VERB
ejpam-2620	275	4	1	1	NUM
ejpam-2620	275	5	/	/	SYM
ejpam-2620	275	6	n	n	NUM
ejpam-2620	275	7	value	value	NOUN
ejpam-2620	275	8	,	,	PUNCT
ejpam-2620	275	9	where	where	SCONJ
ejpam-2620	275	10	n	n	X
ejpam-2620	275	11	is	be	AUX
ejpam-2620	275	12	the	the	DET
ejpam-2620	275	13	number	number	NOUN
ejpam-2620	275	14	observations	observation	NOUN
ejpam-2620	275	15	.	.	PUNCT
ejpam-2620	276	1	for	for	ADP
ejpam-2620	276	2	both	both	CCONJ
ejpam-2620	276	3	our	our	PRON
ejpam-2620	276	4	training	training	NOUN
ejpam-2620	276	5	and	and	CCONJ
ejpam-2620	276	6	testing	testing	NOUN
ejpam-2620	276	7	sets	set	NOUN
ejpam-2620	276	8	,	,	PUNCT
ejpam-2620	276	9	n	n	NOUN
ejpam-2620	276	10	=	=	SYM
ejpam-2620	276	11	120	120	NUM
ejpam-2620	276	12	.	.	PUNCT
ejpam-2620	277	1	k(x	k(x	PROPN
ejpam-2620	277	2	t	t	PROPN
ejpam-2620	277	3	,	,	PUNCT
ejpam-2620	277	4	x	x	X
ejpam-2620	277	5	)	)	PUNCT
ejpam-2620	277	6	=	=	SYM
ejpam-2620	277	7	tanh(γ〈x	tanh(γ〈x	NOUN
ejpam-2620	277	8	t	t	NOUN
ejpam-2620	277	9	,	,	PUNCT
ejpam-2620	277	10	x〉+	x〉+	PROPN
ejpam-2620	277	11	c	c	X
ejpam-2620	277	12	)	)	PUNCT
ejpam-2620	277	13	(	(	PUNCT
ejpam-2620	277	14	25	25	NUM
ejpam-2620	277	15	)	)	PUNCT
ejpam-2620	277	16	k(x	k(x	PROPN
ejpam-2620	277	17	t	t	PROPN
ejpam-2620	277	18	,	,	PUNCT
ejpam-2620	277	19	x	x	X
ejpam-2620	277	20	)	)	PUNCT
ejpam-2620	277	21	=	=	PUNCT
ejpam-2620	277	22	tanh(〈x〉+	tanh(〈x〉+	PUNCT
ejpam-2620	277	23	c	c	X
ejpam-2620	277	24	)	)	PUNCT
ejpam-2620	277	25	(	(	PUNCT
ejpam-2620	277	26	26	26	NUM
ejpam-2620	277	27	)	)	PUNCT
ejpam-2620	277	28	ranges	range	NOUN
ejpam-2620	277	29	between	between	ADP
ejpam-2620	277	30	-1	-1	PUNCT
ejpam-2620	277	31	and	and	CCONJ
ejpam-2620	277	32	+1	+1	PROPN
ejpam-2620	277	33	.	.	PUNCT
ejpam-2620	278	1	linear	linear	PROPN
ejpam-2620	278	2	kernel	kernel	PROPN
ejpam-2620	278	3	is	be	AUX
ejpam-2620	278	4	the	the	DET
ejpam-2620	278	5	most	most	ADV
ejpam-2620	278	6	simple	simple	ADJ
ejpam-2620	278	7	kernel	kernel	NOUN
ejpam-2620	278	8	,	,	PUNCT
ejpam-2620	278	9	and	and	CCONJ
ejpam-2620	278	10	〈	〈	PROPN
ejpam-2620	278	11	x	x	SYM
ejpam-2620	278	12	,	,	PUNCT
ejpam-2620	278	13	y	y	NUM
ejpam-2620	278	14	〉	〉	NOUN
ejpam-2620	278	15	is	be	AUX
ejpam-2620	278	16	given	give	VERB
ejpam-2620	278	17	in	in	ADP
ejpam-2620	278	18	the	the	DET
ejpam-2620	278	19	input	input	NOUN
ejpam-2620	278	20	.	.	PUNCT
ejpam-2620	279	1	c	c	NOUN
ejpam-2620	279	2	has	have	VERB
ejpam-2620	279	3	constant	constant	ADJ
ejpam-2620	279	4	value	value	NOUN
ejpam-2620	279	5	.	.	PUNCT
ejpam-2620	280	1	it	it	PRON
ejpam-2620	280	2	is	be	AUX
ejpam-2620	280	3	used	use	VERB
ejpam-2620	280	4	generally	generally	ADV
ejpam-2620	280	5	in	in	ADP
ejpam-2620	280	6	kernel	kernel	PROPN
ejpam-2620	280	7	algorithms	algorithm	NOUN
ejpam-2620	280	8	[	[	X
ejpam-2620	280	9	15	15	NUM
ejpam-2620	280	10	]	]	PUNCT
ejpam-2620	280	11	.	.	PUNCT
ejpam-2620	281	1	k(x	k(x	PROPN
ejpam-2620	281	2	t	t	PROPN
ejpam-2620	281	3	,	,	PUNCT
ejpam-2620	281	4	x	x	X
ejpam-2620	281	5	)	)	PUNCT
ejpam-2620	281	6	=	=	SYM
ejpam-2620	281	7	〈	〈	PROPN
ejpam-2620	281	8	x	x	SYM
ejpam-2620	281	9	t	t	PROPN
ejpam-2620	281	10	,	,	PUNCT
ejpam-2620	281	11	x〉+	x〉+	PROPN
ejpam-2620	281	12	c	c	PROPN
ejpam-2620	281	13	(	(	PUNCT
ejpam-2620	281	14	27	27	NUM
ejpam-2620	281	15	)	)	PUNCT
ejpam-2620	281	16	k(x	k(x	PROPN
ejpam-2620	281	17	t	t	PROPN
ejpam-2620	281	18	,	,	PUNCT
ejpam-2620	281	19	x	x	X
ejpam-2620	281	20	)	)	PUNCT
ejpam-2620	282	1	=	=	NOUN
ejpam-2620	282	2	x	x	X
ejpam-2620	282	3	+	+	NUM
ejpam-2620	282	4	c	c	X
ejpam-2620	282	5	(	(	PUNCT
ejpam-2620	282	6	28	28	NUM
ejpam-2620	282	7	)	)	PUNCT
ejpam-2620	282	8	the	the	DET
ejpam-2620	282	9	main	main	ADJ
ejpam-2620	282	10	purpose	purpose	NOUN
ejpam-2620	282	11	of	of	ADP
ejpam-2620	282	12	our	our	PRON
ejpam-2620	282	13	study	study	NOUN
ejpam-2620	282	14	is	be	AUX
ejpam-2620	282	15	to	to	PART
ejpam-2620	282	16	be	be	AUX
ejpam-2620	282	17	able	able	ADJ
ejpam-2620	282	18	to	to	PART
ejpam-2620	282	19	define	define	VERB
ejpam-2620	282	20	the	the	DET
ejpam-2620	282	21	subgroups	subgroup	NOUN
ejpam-2620	282	22	of	of	ADP
ejpam-2620	282	23	ms	ms	PROPN
ejpam-2620	282	24	,	,	PUNCT
ejpam-2620	282	25	namely	namely	ADV
ejpam-2620	282	26	rrms	rrm	NOUN
ejpam-2620	282	27	,	,	PUNCT
ejpam-2620	282	28	spms	spm	NOUN
ejpam-2620	282	29	and	and	CCONJ
ejpam-2620	282	30	ppms	ppm	NOUN
ejpam-2620	282	31	through	through	ADP
ejpam-2620	282	32	svm	svm	ADJ
ejpam-2620	282	33	algorithm	algorithm	NOUN
ejpam-2620	282	34	.	.	PUNCT
ejpam-2620	283	1	at	at	ADP
ejpam-2620	283	2	the	the	DET
ejpam-2620	283	3	same	same	ADJ
ejpam-2620	283	4	time	time	NOUN
ejpam-2620	283	5	,	,	PUNCT
ejpam-2620	283	6	the	the	DET
ejpam-2620	283	7	purpose	purpose	NOUN
ejpam-2620	283	8	is	be	AUX
ejpam-2620	283	9	to	to	PART
ejpam-2620	283	10	show	show	VERB
ejpam-2620	283	11	the	the	DET
ejpam-2620	283	12	accuracy	accuracy	NOUN
ejpam-2620	283	13	of	of	ADP
ejpam-2620	283	14	using	use	VERB
ejpam-2620	283	15	multi	multi	ADJ
ejpam-2620	283	16	kernel	kernel	NOUN
ejpam-2620	283	17	use	use	NOUN
ejpam-2620	283	18	in	in	ADP
ejpam-2620	283	19	defining	define	VERB
ejpam-2620	283	20	ms	ms	PROPN
ejpam-2620	283	21	subgroups	subgroup	NOUN
ejpam-2620	283	22	.	.	PUNCT
ejpam-2620	284	1	svm	svm	ADJ
ejpam-2620	284	2	algorithm	algorithm	PROPN
ejpam-2620	284	3	makes	make	VERB
ejpam-2620	284	4	the	the	DET
ejpam-2620	284	5	class	class	NOUN
ejpam-2620	284	6	estimation	estimation	NOUN
ejpam-2620	284	7	of	of	ADP
ejpam-2620	284	8	the	the	DET
ejpam-2620	284	9	data	datum	NOUN
ejpam-2620	284	10	with	with	ADP
ejpam-2620	284	11	classes	class	NOUN
ejpam-2620	284	12	more	more	ADJ
ejpam-2620	284	13	than	than	ADP
ejpam-2620	284	14	two	two	NUM
ejpam-2620	284	15	with	with	ADP
ejpam-2620	284	16	higher	high	ADJ
ejpam-2620	284	17	accuracy	accuracy	NOUN
ejpam-2620	284	18	.	.	PUNCT
ejpam-2620	285	1	in	in	ADP
ejpam-2620	285	2	this	this	DET
ejpam-2620	285	3	respect	respect	NOUN
ejpam-2620	285	4	,	,	PUNCT
ejpam-2620	285	5	this	this	DET
ejpam-2620	285	6	study	study	NOUN
ejpam-2620	285	7	is	be	AUX
ejpam-2620	285	8	the	the	DET
ejpam-2620	285	9	first	first	ADJ
ejpam-2620	285	10	of	of	ADP
ejpam-2620	285	11	its	its	PRON
ejpam-2620	285	12	kind	kind	NOUN
ejpam-2620	285	13	in	in	ADP
ejpam-2620	285	14	literature	literature	NOUN
ejpam-2620	285	15	since	since	SCONJ
ejpam-2620	285	16	it	it	PRON
ejpam-2620	285	17	has	have	AUX
ejpam-2620	285	18	conducted	conduct	VERB
ejpam-2620	285	19	the	the	DET
ejpam-2620	285	20	performance	performance	NOUN
ejpam-2620	285	21	evaluation	evaluation	NOUN
ejpam-2620	285	22	of	of	ADP
ejpam-2620	285	23	c	c	PROPN
ejpam-2620	285	24	-	-	PUNCT
ejpam-2620	285	25	svc	svc	PROPN
ejpam-2620	285	26	algorithm	algorithm	PROPN
ejpam-2620	285	27	kernel	kernel	PROPN
ejpam-2620	285	28	types	type	NOUN
ejpam-2620	285	29	for	for	ADP
ejpam-2620	285	30	the	the	DET
ejpam-2620	285	31	classification	classification	NOUN
ejpam-2620	285	32	of	of	ADP
ejpam-2620	285	33	ms	ms	PROPN
ejpam-2620	285	34	subgroups	subgroup	NOUN
ejpam-2620	285	35	on	on	ADP
ejpam-2620	285	36	ms	ms	PROPN
ejpam-2620	285	37	data	datum	NOUN
ejpam-2620	285	38	set	set	VERB
ejpam-2620	285	39	.	.	PUNCT
ejpam-2620	286	1	many	many	ADJ
ejpam-2620	286	2	different	different	ADJ
ejpam-2620	286	3	practices	practice	NOUN
ejpam-2620	286	4	have	have	AUX
ejpam-2620	286	5	been	be	AUX
ejpam-2620	286	6	applied	apply	VERB
ejpam-2620	286	7	for	for	ADP
ejpam-2620	286	8	parameter	parameter	NOUN
ejpam-2620	286	9	values	value	NOUN
ejpam-2620	286	10	with	with	ADP
ejpam-2620	286	11	gamma	gamma	NOUN
ejpam-2620	286	12	in	in	ADP
ejpam-2620	286	13	kernel	kernel	PROPN
ejpam-2620	286	14	function	function	PROPN
ejpam-2620	286	15	,	,	PUNCT
ejpam-2620	286	16	coef	coef	PROPN
ejpam-2620	286	17	in	in	ADP
ejpam-2620	286	18	kernel	kernel	PROPN
ejpam-2620	286	19	function	function	PROPN
ejpam-2620	286	20	,	,	PUNCT
ejpam-2620	286	21	tolerance	tolerance	NOUN
ejpam-2620	286	22	of	of	ADP
ejpam-2620	286	23	termination	termination	NOUN
ejpam-2620	286	24	criteria	criterion	NOUN
ejpam-2620	286	25	,	,	PUNCT
ejpam-2620	286	26	complexity	complexity	NOUN
ejpam-2620	286	27	cost	cost	NOUN
ejpam-2620	286	28	,	,	PUNCT
ejpam-2620	286	29	compute	compute	NOUN
ejpam-2620	286	30	probability	probability	NOUN
ejpam-2620	286	31	estimates	estimate	NOUN
ejpam-2620	286	32	,	,	PUNCT
ejpam-2620	286	33	use	use	VERB
ejpam-2620	286	34	shrinking	shrink	VERB
ejpam-2620	286	35	heuristics	heuristic	NOUN
ejpam-2620	286	36	,	,	PUNCT
ejpam-2620	286	37	and	and	CCONJ
ejpam-2620	286	38	data	datum	NOUN
ejpam-2620	286	39	normalization	normalization	NOUN
ejpam-2620	286	40	.	.	PUNCT
ejpam-2620	287	1	applications	application	NOUN
ejpam-2620	287	2	have	have	AUX
ejpam-2620	287	3	been	be	AUX
ejpam-2620	287	4	made	make	VERB
ejpam-2620	287	5	on	on	ADP
ejpam-2620	287	6	rbf	rbf	PROPN
ejpam-2620	287	7	,	,	PUNCT
ejpam-2620	287	8	polynomial	polynomial	ADJ
ejpam-2620	287	9	,	,	PUNCT
ejpam-2620	287	10	sigmoid	sigmoid	NOUN
ejpam-2620	287	11	,	,	PUNCT
ejpam-2620	287	12	linear	linear	ADJ
ejpam-2620	287	13	kernel	kernel	PROPN
ejpam-2620	287	14	parameters	parameter	NOUN
ejpam-2620	287	15	between	between	ADP
ejpam-2620	287	16	the	the	DET
ejpam-2620	287	17	lowest	low	ADJ
ejpam-2620	287	18	limit	limit	NOUN
ejpam-2620	287	19	(	(	PUNCT
ejpam-2620	287	20	0	0	NUM
ejpam-2620	287	21	)	)	PUNCT
ejpam-2620	287	22	and	and	CCONJ
ejpam-2620	287	23	upper	upper	ADJ
ejpam-2620	287	24	limit	limit	NOUN
ejpam-2620	287	25	(	(	PUNCT
ejpam-2620	287	26	4	4	NUM
ejpam-2620	287	27	)	)	PUNCT
ejpam-2620	287	28	.	.	PUNCT
ejpam-2620	288	1	numeric	numeric	ADP
ejpam-2620	288	2	parametric	parametric	ADJ
ejpam-2620	288	3	values	value	NOUN
ejpam-2620	288	4	provided	provide	VERB
ejpam-2620	288	5	in	in	ADP
ejpam-2620	288	6	table	table	NOUN
ejpam-2620	288	7	6	6	NUM
ejpam-2620	288	8	are	be	AUX
ejpam-2620	288	9	the	the	DET
ejpam-2620	288	10	ones	one	NOUN
ejpam-2620	288	11	optimized	optimize	VERB
ejpam-2620	288	12	for	for	ADP
ejpam-2620	288	13	the	the	DET
ejpam-2620	288	14	kernel	kernel	NOUN
ejpam-2620	288	15	types	type	NOUN
ejpam-2620	288	16	in	in	ADP
ejpam-2620	288	17	the	the	DET
ejpam-2620	288	18	article	article	NOUN
ejpam-2620	288	19	.	.	PUNCT
ejpam-2620	289	1	some	some	DET
ejpam-2620	289	2	data	datum	NOUN
ejpam-2620	289	3	set	set	VERB
ejpam-2620	289	4	and	and	CCONJ
ejpam-2620	289	5	parameters	parameter	NOUN
ejpam-2620	289	6	in	in	ADP
ejpam-2620	289	7	libsvm	libsvm	NOUN
ejpam-2620	289	8	library	library	NOUN
ejpam-2620	289	9	may	may	AUX
ejpam-2620	289	10	reduce	reduce	VERB
ejpam-2620	289	11	the	the	DET
ejpam-2620	289	12	iteration	iteration	NOUN
ejpam-2620	289	13	number	number	NOUN
ejpam-2620	289	14	in	in	ADP
ejpam-2620	289	15	making	make	VERB
ejpam-2620	289	16	the	the	DET
ejpam-2620	289	17	required	require	VERB
ejpam-2620	289	18	calculations	calculation	NOUN
ejpam-2620	289	19	in	in	ADP
ejpam-2620	289	20	classification	classification	NOUN
ejpam-2620	289	21	[	[	X
ejpam-2620	289	22	9	9	NUM
ejpam-2620	289	23	]	]	PUNCT
ejpam-2620	289	24	.	.	PUNCT
ejpam-2620	290	1	the	the	DET
ejpam-2620	290	2	size	size	NOUN
ejpam-2620	290	3	of	of	ADP
ejpam-2620	290	4	the	the	DET
ejpam-2620	290	5	ms	ms	PROPN
ejpam-2620	290	6	data	datum	NOUN
ejpam-2620	290	7	set	set	VERB
ejpam-2620	290	8	in	in	ADP
ejpam-2620	290	9	the	the	DET
ejpam-2620	290	10	study	study	NOUN
ejpam-2620	290	11	did	do	AUX
ejpam-2620	290	12	not	not	PART
ejpam-2620	290	13	have	have	VERB
ejpam-2620	290	14	a	a	DET
ejpam-2620	290	15	big	big	ADJ
ejpam-2620	290	16	size	size	NOUN
ejpam-2620	290	17	that	that	PRON
ejpam-2620	290	18	would	would	AUX
ejpam-2620	290	19	impede	impede	VERB
ejpam-2620	290	20	the	the	DET
ejpam-2620	290	21	making	making	NOUN
ejpam-2620	290	22	of	of	ADP
ejpam-2620	290	23	the	the	DET
ejpam-2620	290	24	calculations	calculation	NOUN
ejpam-2620	290	25	.	.	PUNCT
ejpam-2620	291	1	y.	y.	PROPN
ejpam-2620	291	2	karaca	karaca	PROPN
ejpam-2620	291	3	,	,	PUNCT
ejpam-2620	291	4	ş.	ş.	PROPN
ejpam-2620	291	5	hayta	hayta	PROPN
ejpam-2620	291	6	,	,	PUNCT
ejpam-2620	291	7	r.	r.	PROPN
ejpam-2620	291	8	karabudak	karabudak	PROPN
ejpam-2620	291	9	/	/	SYM
ejpam-2620	291	10	eur	eur	PROPN
ejpam-2620	291	11	.	.	PUNCT
ejpam-2620	292	1	j.	j.	PROPN
ejpam-2620	292	2	pure	pure	PROPN
ejpam-2620	292	3	appl	appl	PROPN
ejpam-2620	292	4	.	.	PROPN
ejpam-2620	292	5	math	math	PROPN
ejpam-2620	292	6	,	,	PUNCT
ejpam-2620	292	7	9	9	NUM
ejpam-2620	292	8	(	(	PUNCT
ejpam-2620	292	9	2016	2016	NUM
ejpam-2620	292	10	)	)	PUNCT
ejpam-2620	292	11	,	,	PUNCT
ejpam-2620	292	12	196	196	NUM
ejpam-2620	292	13	-	-	SYM
ejpam-2620	292	14	215	215	NUM
ejpam-2620	292	15	210	210	NUM
ejpam-2620	292	16	3	3	NUM
ejpam-2620	292	17	.	.	PUNCT
ejpam-2620	292	18	results	result	VERB
ejpam-2620	292	19	mr	mr	PROPN
ejpam-2620	292	20	images	image	NOUN
ejpam-2620	292	21	and	and	CCONJ
ejpam-2620	292	22	edss	edss	ADJ
ejpam-2620	292	23	scores	score	NOUN
ejpam-2620	292	24	of	of	ADP
ejpam-2620	292	25	have	have	AUX
ejpam-2620	292	26	been	be	AUX
ejpam-2620	292	27	utilized	utilize	VERB
ejpam-2620	292	28	in	in	ADP
ejpam-2620	292	29	our	our	PRON
ejpam-2620	292	30	study	study	NOUN
ejpam-2620	292	31	while	while	SCONJ
ejpam-2620	292	32	carrying	carry	VERB
ejpam-2620	292	33	out	out	ADP
ejpam-2620	292	34	the	the	DET
ejpam-2620	292	35	diagnosis	diagnosis	NOUN
ejpam-2620	292	36	.	.	PUNCT
ejpam-2620	293	1	mri	mri	NOUN
ejpam-2620	293	2	results	result	NOUN
ejpam-2620	293	3	are	be	AUX
ejpam-2620	293	4	evaluated	evaluate	VERB
ejpam-2620	293	5	by	by	ADP
ejpam-2620	293	6	examining	examine	VERB
ejpam-2620	293	7	the	the	DET
ejpam-2620	293	8	lesion	lesion	NOUN
ejpam-2620	293	9	counts	count	NOUN
ejpam-2620	293	10	and	and	CCONJ
ejpam-2620	293	11	edss	edss	ADJ
ejpam-2620	293	12	scores	score	NOUN
ejpam-2620	293	13	.	.	PUNCT
ejpam-2620	294	1	libsvm	libsvm	PROPN
ejpam-2620	294	2	,	,	PUNCT
ejpam-2620	294	3	multiclass	multiclass	ADJ
ejpam-2620	294	4	library	library	NOUN
ejpam-2620	294	5	of	of	ADP
ejpam-2620	294	6	svm	svm	PROPN
ejpam-2620	294	7	supervised	supervise	VERB
ejpam-2620	294	8	algorithm	algorithm	NOUN
ejpam-2620	294	9	which	which	PRON
ejpam-2620	294	10	is	be	AUX
ejpam-2620	294	11	one	one	NUM
ejpam-2620	294	12	of	of	ADP
ejpam-2620	294	13	the	the	DET
ejpam-2620	294	14	popular	popular	ADJ
ejpam-2620	294	15	machine	machine	NOUN
ejpam-2620	294	16	learning	learn	VERB
ejpam-2620	294	17	algorithms	algorithm	NOUN
ejpam-2620	294	18	has	have	AUX
ejpam-2620	294	19	been	be	AUX
ejpam-2620	294	20	used	use	VERB
ejpam-2620	294	21	for	for	ADP
ejpam-2620	294	22	the	the	DET
ejpam-2620	294	23	diagnosis	diagnosis	NOUN
ejpam-2620	294	24	of	of	ADP
ejpam-2620	294	25	the	the	DET
ejpam-2620	294	26	disorder	disorder	NOUN
ejpam-2620	294	27	regarding	regard	VERB
ejpam-2620	294	28	rrms	rrm	NOUN
ejpam-2620	294	29	,	,	PUNCT
ejpam-2620	294	30	spms	spm	NOUN
ejpam-2620	294	31	and	and	CCONJ
ejpam-2620	294	32	ppms	ppm	NOUN
ejpam-2620	294	33	.	.	PUNCT
ejpam-2620	295	1	the	the	DET
ejpam-2620	295	2	study	study	NOUN
ejpam-2620	295	3	has	have	AUX
ejpam-2620	295	4	been	be	AUX
ejpam-2620	295	5	conducted	conduct	VERB
ejpam-2620	295	6	on	on	ADP
ejpam-2620	295	7	two	two	NUM
ejpam-2620	295	8	different	different	ADJ
ejpam-2620	295	9	data	datum	NOUN
ejpam-2620	295	10	sets.in	sets.in	PROPN
ejpam-2620	295	11	the	the	DET
ejpam-2620	295	12	first	first	ADJ
ejpam-2620	295	13	data	datum	NOUN
ejpam-2620	295	14	set	set	VERB
ejpam-2620	295	15	,	,	PUNCT
ejpam-2620	295	16	edss	edss	ADJ
ejpam-2620	295	17	score	score	NOUN
ejpam-2620	295	18	has	have	AUX
ejpam-2620	295	19	been	be	AUX
ejpam-2620	295	20	removed	remove	VERB
ejpam-2620	295	21	from	from	ADP
ejpam-2620	295	22	the	the	DET
ejpam-2620	295	23	data	datum	NOUN
ejpam-2620	295	24	set	set	VERB
ejpam-2620	295	25	to	to	PART
ejpam-2620	295	26	emphasize	emphasize	VERB
ejpam-2620	295	27	the	the	DET
ejpam-2620	295	28	significance	significance	NOUN
ejpam-2620	295	29	of	of	ADP
ejpam-2620	295	30	the	the	DET
ejpam-2620	295	31	parameter	parameter	NOUN
ejpam-2620	295	32	.	.	PUNCT
ejpam-2620	296	1	for	for	ADP
ejpam-2620	296	2	this	this	DET
ejpam-2620	296	3	reason	reason	NOUN
ejpam-2620	296	4	,	,	PUNCT
ejpam-2620	296	5	it	it	PRON
ejpam-2620	296	6	is	be	AUX
ejpam-2620	296	7	a	a	DET
ejpam-2620	296	8	matrix	matrix	NOUN
ejpam-2620	296	9	of	of	ADP
ejpam-2620	296	10	size	size	NOUN
ejpam-2620	296	11	120×227	120×227	NUM
ejpam-2620	296	12	.	.	PUNCT
ejpam-2620	297	1	the	the	DET
ejpam-2620	297	2	second	second	ADJ
ejpam-2620	297	3	data	datum	NOUN
ejpam-2620	297	4	set	set	VERB
ejpam-2620	297	5	is	be	AUX
ejpam-2620	297	6	a	a	DET
ejpam-2620	297	7	matrix	matrix	NOUN
ejpam-2620	297	8	of	of	ADP
ejpam-2620	297	9	size	size	NOUN
ejpam-2620	297	10	120×228	120×228	NUM
ejpam-2620	297	11	with	with	ADP
ejpam-2620	297	12	edss	edss	ADJ
ejpam-2620	297	13	scores	score	NOUN
ejpam-2620	297	14	and	and	CCONJ
ejpam-2620	297	15	mri	mri	NOUN
ejpam-2620	297	16	data	datum	NOUN
ejpam-2620	297	17	of	of	ADP
ejpam-2620	297	18	120	120	NUM
ejpam-2620	297	19	patients	patient	NOUN
ejpam-2620	297	20	(	(	PUNCT
ejpam-2620	297	21	the	the	DET
ejpam-2620	297	22	number	number	NOUN
ejpam-2620	297	23	of	of	ADP
ejpam-2620	297	24	lesion	lesion	NOUN
ejpam-2620	297	25	diameter	diameter	NOUN
ejpam-2620	297	26	/	/	SYM
ejpam-2620	297	27	width	width	NOUN
ejpam-2620	297	28	for	for	ADP
ejpam-2620	297	29	three	three	NUM
ejpam-2620	297	30	different	different	ADJ
ejpam-2620	297	31	regions	region	NOUN
ejpam-2620	297	32	separately	separately	ADV
ejpam-2620	297	33	)	)	PUNCT
ejpam-2620	297	34	.	.	PUNCT
ejpam-2620	298	1	the	the	DET
ejpam-2620	298	2	evaluation	evaluation	NOUN
ejpam-2620	298	3	has	have	AUX
ejpam-2620	298	4	been	be	AUX
ejpam-2620	298	5	made	make	VERB
ejpam-2620	298	6	by	by	ADP
ejpam-2620	298	7	applying	apply	VERB
ejpam-2620	298	8	radial	radial	ADJ
ejpam-2620	298	9	basis	basis	NOUN
ejpam-2620	298	10	function	function	NOUN
ejpam-2620	298	11	,	,	PUNCT
ejpam-2620	298	12	polynomial	polynomial	ADJ
ejpam-2620	298	13	,	,	PUNCT
ejpam-2620	298	14	sigmoid	sigmoid	NOUN
ejpam-2620	298	15	and	and	CCONJ
ejpam-2620	298	16	linear	linear	ADJ
ejpam-2620	298	17	kernel	kernel	NOUN
ejpam-2620	298	18	on	on	ADP
ejpam-2620	298	19	two	two	NUM
ejpam-2620	298	20	different	different	ADJ
ejpam-2620	298	21	datasets	dataset	NOUN
ejpam-2620	298	22	for	for	ADP
ejpam-2620	298	23	multiclass	multiclass	ADJ
ejpam-2620	298	24	svm	svm	NOUN
ejpam-2620	298	25	(	(	PUNCT
ejpam-2620	298	26	c	c	NOUN
ejpam-2620	298	27	-	-	PUNCT
ejpam-2620	298	28	support	support	NOUN
ejpam-2620	298	29	vector	vector	NOUN
ejpam-2620	298	30	classification	classification	NOUN
ejpam-2620	298	31	)	)	PUNCT
ejpam-2620	299	1	[	[	X
ejpam-2620	299	2	10	10	NUM
ejpam-2620	299	3	]	]	PUNCT
ejpam-2620	299	4	.	.	PUNCT
ejpam-2620	300	1	by	by	ADP
ejpam-2620	300	2	using	use	VERB
ejpam-2620	300	3	c	c	NOUN
ejpam-2620	300	4	-	-	PUNCT
ejpam-2620	300	5	svc	svc	NOUN
ejpam-2620	301	1	[	[	X
ejpam-2620	301	2	5	5	NUM
ejpam-2620	301	3	,	,	PUNCT
ejpam-2620	301	4	25	25	NUM
ejpam-2620	301	5	,	,	PUNCT
ejpam-2620	301	6	36	36	NUM
ejpam-2620	301	7	]	]	PUNCT
ejpam-2620	301	8	algorithm	algorithm	NOUN
ejpam-2620	301	9	used	use	VERB
ejpam-2620	301	10	for	for	ADP
ejpam-2620	301	11	applications	application	NOUN
ejpam-2620	301	12	which	which	PRON
ejpam-2620	301	13	svm	svm	ADJ
ejpam-2620	301	14	algorithm	algorithm	NOUN
ejpam-2620	301	15	exceeds	exceed	VERB
ejpam-2620	301	16	two	two	NUM
ejpam-2620	301	17	classes	class	NOUN
ejpam-2620	301	18	,	,	PUNCT
ejpam-2620	301	19	the	the	DET
ejpam-2620	301	20	performance	performance	NOUN
ejpam-2620	301	21	classification	classification	NOUN
ejpam-2620	301	22	analysis	analysis	NOUN
ejpam-2620	301	23	of	of	ADP
ejpam-2620	301	24	ms	ms	NOUN
ejpam-2620	301	25	subgroups	subgroup	NOUN
ejpam-2620	301	26	(	(	PUNCT
ejpam-2620	301	27	rrms	rrm	NOUN
ejpam-2620	301	28	,	,	PUNCT
ejpam-2620	301	29	spms	spm	NOUN
ejpam-2620	301	30	,	,	PUNCT
ejpam-2620	301	31	ppms	ppm	NOUN
ejpam-2620	301	32	)	)	PUNCT
ejpam-2620	301	33	has	have	AUX
ejpam-2620	301	34	been	be	AUX
ejpam-2620	301	35	performed	perform	VERB
ejpam-2620	301	36	.	.	PUNCT
ejpam-2620	302	1	libsvm	libsvm	PROPN
ejpam-2620	302	2	library	library	PROPN
ejpam-2620	302	3	has	have	AUX
ejpam-2620	302	4	been	be	AUX
ejpam-2620	302	5	used	use	VERB
ejpam-2620	302	6	for	for	ADP
ejpam-2620	302	7	this	this	DET
ejpam-2620	302	8	purpose	purpose	NOUN
ejpam-2620	302	9	.	.	PUNCT
ejpam-2620	303	1	the	the	DET
ejpam-2620	303	2	verification	verification	NOUN
ejpam-2620	303	3	has	have	AUX
ejpam-2620	303	4	been	be	AUX
ejpam-2620	303	5	made	make	VERB
ejpam-2620	303	6	by	by	ADP
ejpam-2620	303	7	10	10	NUM
ejpam-2620	303	8	-	-	ADJ
ejpam-2620	303	9	fold	fold	ADJ
ejpam-2620	303	10	cross	cross	NOUN
ejpam-2620	303	11	validation	validation	NOUN
ejpam-2620	303	12	which	which	PRON
ejpam-2620	303	13	is	be	AUX
ejpam-2620	303	14	one	one	NUM
ejpam-2620	303	15	method	method	NOUN
ejpam-2620	303	16	used	use	VERB
ejpam-2620	303	17	in	in	ADP
ejpam-2620	303	18	statistics	statistic	NOUN
ejpam-2620	303	19	.	.	PUNCT
ejpam-2620	304	1	in	in	ADP
ejpam-2620	304	2	addition	addition	NOUN
ejpam-2620	304	3	to	to	ADP
ejpam-2620	304	4	this	this	PRON
ejpam-2620	304	5	,	,	PUNCT
ejpam-2620	304	6	during	during	ADP
ejpam-2620	304	7	the	the	DET
ejpam-2620	304	8	classification	classification	NOUN
ejpam-2620	304	9	stage	stage	NOUN
ejpam-2620	304	10	of	of	ADP
ejpam-2620	304	11	c	c	PROPN
ejpam-2620	304	12	-	-	PUNCT
ejpam-2620	304	13	svc	svc	PROPN
ejpam-2620	304	14	kernel	kernel	PROPN
ejpam-2620	304	15	methods	method	NOUN
ejpam-2620	304	16	(	(	PUNCT
ejpam-2620	304	17	rbf	rbf	PROPN
ejpam-2620	304	18	kernel	kernel	PROPN
ejpam-2620	304	19	,	,	PUNCT
ejpam-2620	304	20	polynomial	polynomial	ADJ
ejpam-2620	304	21	kernel	kernel	NOUN
ejpam-2620	304	22	,	,	PUNCT
ejpam-2620	304	23	sigmoid	sigmoid	NOUN
ejpam-2620	304	24	kernel	kernel	NOUN
ejpam-2620	304	25	,	,	PUNCT
ejpam-2620	304	26	linear	linear	ADJ
ejpam-2620	304	27	kernel	kernel	PROPN
ejpam-2620	304	28	)	)	PUNCT
ejpam-2620	304	29	,	,	PUNCT
ejpam-2620	304	30	computation	computation	NOUN
ejpam-2620	304	31	time	time	NOUN
ejpam-2620	304	32	has	have	AUX
ejpam-2620	304	33	been	be	AUX
ejpam-2620	304	34	provided	provide	VERB
ejpam-2620	304	35	in	in	ADP
ejpam-2620	304	36	a	a	DET
ejpam-2620	304	37	comparative	comparative	ADJ
ejpam-2620	304	38	fashion	fashion	NOUN
ejpam-2620	304	39	.	.	PUNCT
ejpam-2620	305	1	accuracy	accuracy	NOUN
ejpam-2620	305	2	of	of	ADP
ejpam-2620	305	3	the	the	DET
ejpam-2620	305	4	data	datum	NOUN
ejpam-2620	305	5	has	have	AUX
ejpam-2620	305	6	been	be	AUX
ejpam-2620	305	7	validated	validate	VERB
ejpam-2620	305	8	and	and	CCONJ
ejpam-2620	305	9	applied	apply	VERB
ejpam-2620	305	10	onto	onto	ADP
ejpam-2620	305	11	c	c	NOUN
ejpam-2620	305	12	-	-	PUNCT
ejpam-2620	305	13	svc	svc	PROPN
ejpam-2620	305	14	algorithm	algorithm	PROPN
ejpam-2620	305	15	kernel	kernel	PROPN
ejpam-2620	305	16	types	type	NOUN
ejpam-2620	305	17	separately	separately	ADV
ejpam-2620	305	18	.	.	PUNCT
ejpam-2620	306	1	in	in	ADP
ejpam-2620	306	2	addition	addition	NOUN
ejpam-2620	306	3	,	,	PUNCT
ejpam-2620	306	4	the	the	DET
ejpam-2620	306	5	verification	verification	NOUN
ejpam-2620	306	6	of	of	ADP
ejpam-2620	306	7	the	the	DET
ejpam-2620	306	8	accuracy	accuracy	NOUN
ejpam-2620	306	9	rates	rate	NOUN
ejpam-2620	306	10	has	have	AUX
ejpam-2620	306	11	been	be	AUX
ejpam-2620	306	12	made	make	VERB
ejpam-2620	306	13	by	by	ADP
ejpam-2620	306	14	10	10	NUM
ejpam-2620	306	15	-	-	ADJ
ejpam-2620	306	16	fold	fold	ADJ
ejpam-2620	306	17	cross	cross	NOUN
ejpam-2620	306	18	validation	validation	NOUN
ejpam-2620	306	19	,	,	PUNCT
ejpam-2620	306	20	which	which	PRON
ejpam-2620	306	21	is	be	AUX
ejpam-2620	306	22	one	one	NUM
ejpam-2620	306	23	of	of	ADP
ejpam-2620	306	24	the	the	DET
ejpam-2620	306	25	relevant	relevant	ADJ
ejpam-2620	306	26	statistical	statistical	ADJ
ejpam-2620	306	27	methods	method	NOUN
ejpam-2620	306	28	.	.	PUNCT
ejpam-2620	307	1	in	in	ADP
ejpam-2620	307	2	the	the	DET
ejpam-2620	307	3	end	end	NOUN
ejpam-2620	307	4	,	,	PUNCT
ejpam-2620	307	5	while	while	SCONJ
ejpam-2620	307	6	forming	form	VERB
ejpam-2620	307	7	the	the	DET
ejpam-2620	307	8	classification	classification	NOUN
ejpam-2620	307	9	of	of	ADP
ejpam-2620	307	10	kernel	kernel	PROPN
ejpam-2620	307	11	types	type	NOUN
ejpam-2620	307	12	,	,	PUNCT
ejpam-2620	307	13	the	the	DET
ejpam-2620	307	14	time	time	NOUN
ejpam-2620	307	15	elapsed	elapse	VERB
ejpam-2620	307	16	and	and	CCONJ
ejpam-2620	307	17	test	test	NOUN
ejpam-2620	307	18	achievement	achievement	NOUN
ejpam-2620	307	19	results	result	NOUN
ejpam-2620	307	20	have	have	AUX
ejpam-2620	307	21	been	be	AUX
ejpam-2620	307	22	compared	compare	VERB
ejpam-2620	307	23	with	with	ADP
ejpam-2620	307	24	each	each	DET
ejpam-2620	307	25	other	other	ADJ
ejpam-2620	307	26	.	.	PUNCT
ejpam-2620	308	1	the	the	DET
ejpam-2620	308	2	results	result	NOUN
ejpam-2620	308	3	of	of	ADP
ejpam-2620	308	4	our	our	PRON
ejpam-2620	308	5	study	study	NOUN
ejpam-2620	308	6	have	have	AUX
ejpam-2620	308	7	been	be	AUX
ejpam-2620	308	8	obtained	obtain	VERB
ejpam-2620	308	9	using	use	VERB
ejpam-2620	308	10	tanagra	tanagra	NOUN
ejpam-2620	308	11	software	software	NOUN
ejpam-2620	308	12	,	,	PUNCT
ejpam-2620	308	13	which	which	PRON
ejpam-2620	308	14	is	be	AUX
ejpam-2620	308	15	one	one	NUM
ejpam-2620	308	16	of	of	ADP
ejpam-2620	308	17	the	the	DET
ejpam-2620	308	18	data	datum	NOUN
ejpam-2620	308	19	mining	mining	NOUN
ejpam-2620	308	20	tools†.	tools†.	NUM
ejpam-2620	308	21	libsvm	libsvm	NOUN
ejpam-2620	308	22	library	library	NOUN
ejpam-2620	308	23	has	have	AUX
ejpam-2620	308	24	been	be	AUX
ejpam-2620	308	25	used	use	VERB
ejpam-2620	308	26	for	for	ADP
ejpam-2620	308	27	this	this	DET
ejpam-2620	308	28	purpose	purpose	NOUN
ejpam-2620	308	29	.	.	PUNCT
ejpam-2620	309	1	table	table	NOUN
ejpam-2620	309	2	7	7	NUM
ejpam-2620	309	3	:	:	PUNCT
ejpam-2620	309	4	classification	classification	NOUN
ejpam-2620	309	5	achievement	achievement	NOUN
ejpam-2620	309	6	rates	rate	NOUN
ejpam-2620	309	7	and	and	CCONJ
ejpam-2620	309	8	classification	classification	NOUN
ejpam-2620	309	9	computation	computation	NOUN
ejpam-2620	309	10	time	time	NOUN
ejpam-2620	309	11	based	base	VERB
ejpam-2620	309	12	on	on	ADP
ejpam-2620	309	13	kernel	kernel	NOUN
ejpam-2620	309	14	types	type	NOUN
ejpam-2620	309	15	for	for	ADP
ejpam-2620	309	16	training	training	NOUN
ejpam-2620	309	17	set	set	VERB
ejpam-2620	309	18	1	1	NUM
ejpam-2620	309	19	.	.	PUNCT
ejpam-2620	309	20	kernel	kernel	PROPN
ejpam-2620	309	21	type	type	NOUN
ejpam-2620	309	22	classification	classification	NOUN
ejpam-2620	309	23	rate	rate	NOUN
ejpam-2620	309	24	computation	computation	NOUN
ejpam-2620	309	25	time	time	NOUN
ejpam-2620	309	26	(	(	PUNCT
ejpam-2620	309	27	ms	ms	NOUN
ejpam-2620	309	28	)	)	PUNCT
ejpam-2620	309	29	radial	radial	ADJ
ejpam-2620	309	30	basis	basis	NOUN
ejpam-2620	309	31	function	function	NOUN
ejpam-2620	309	32	99.658	99.658	NUM
ejpam-2620	309	33	%	%	NOUN
ejpam-2620	309	34	1217	1217	NUM
ejpam-2620	309	35	polynomial	polynomial	ADJ
ejpam-2620	309	36	99.633	99.633	NUM
ejpam-2620	309	37	%	%	NOUN
ejpam-2620	309	38	1154	1154	NUM
ejpam-2620	309	39	sigmoid	sigmoid	NOUN
ejpam-2620	309	40	99.615	99.615	NUM
ejpam-2620	309	41	%	%	NOUN
ejpam-2620	309	42	1202	1202	NUM
ejpam-2620	309	43	linear	linear	PROPN
ejpam-2620	309	44	99.741	99.741	NUM
ejpam-2620	309	45	%	%	NOUN
ejpam-2620	309	46	858	858	NUM
ejpam-2620	309	47	†http://eric.univ	†http://eric.univ	NOUN
ejpam-2620	309	48	-	-	NOUN
ejpam-2620	309	49	lyon2.fr/~ricco	lyon2.fr/~ricco	NOUN
ejpam-2620	309	50	/	/	SYM
ejpam-2620	309	51	tanagra	tanagra	NOUN
ejpam-2620	309	52	/	/	SYM
ejpam-2620	309	53	en	en	NOUN
ejpam-2620	309	54	/	/	SYM
ejpam-2620	309	55	tanagra.html	tanagra.html	PROPN
ejpam-2620	309	56	y.	y.	PROPN
ejpam-2620	309	57	karaca	karaca	PROPN
ejpam-2620	309	58	,	,	PUNCT
ejpam-2620	309	59	ş.	ş.	PROPN
ejpam-2620	309	60	hayta	hayta	PROPN
ejpam-2620	309	61	,	,	PUNCT
ejpam-2620	309	62	r.	r.	PROPN
ejpam-2620	309	63	karabudak	karabudak	PROPN
ejpam-2620	309	64	/	/	SYM
ejpam-2620	309	65	eur	eur	PROPN
ejpam-2620	309	66	.	.	PUNCT
ejpam-2620	310	1	j.	j.	PROPN
ejpam-2620	310	2	pure	pure	PROPN
ejpam-2620	310	3	appl	appl	PROPN
ejpam-2620	310	4	.	.	PROPN
ejpam-2620	310	5	math	math	PROPN
ejpam-2620	310	6	,	,	PUNCT
ejpam-2620	310	7	9	9	NUM
ejpam-2620	310	8	(	(	PUNCT
ejpam-2620	310	9	2016	2016	NUM
ejpam-2620	310	10	)	)	PUNCT
ejpam-2620	310	11	,	,	PUNCT
ejpam-2620	310	12	196	196	NUM
ejpam-2620	310	13	-	-	SYM
ejpam-2620	310	14	215	215	NUM
ejpam-2620	310	15	211	211	NUM
ejpam-2620	310	16	table	table	NOUN
ejpam-2620	310	17	8	8	NUM
ejpam-2620	310	18	:	:	PUNCT
ejpam-2620	310	19	classification	classification	NOUN
ejpam-2620	310	20	achievement	achievement	NOUN
ejpam-2620	310	21	rates	rate	NOUN
ejpam-2620	310	22	and	and	CCONJ
ejpam-2620	310	23	classification	classification	NOUN
ejpam-2620	310	24	computation	computation	NOUN
ejpam-2620	310	25	time	time	NOUN
ejpam-2620	310	26	based	base	VERB
ejpam-2620	310	27	on	on	ADP
ejpam-2620	310	28	kernel	kernel	NOUN
ejpam-2620	310	29	types	type	NOUN
ejpam-2620	310	30	for	for	ADP
ejpam-2620	310	31	training	training	NOUN
ejpam-2620	310	32	set	set	VERB
ejpam-2620	310	33	2	2	NUM
ejpam-2620	310	34	.	.	PUNCT
ejpam-2620	310	35	kernel	kernel	PROPN
ejpam-2620	310	36	type	type	NOUN
ejpam-2620	310	37	classification	classification	NOUN
ejpam-2620	310	38	rate	rate	NOUN
ejpam-2620	310	39	computation	computation	NOUN
ejpam-2620	310	40	time	time	NOUN
ejpam-2620	310	41	(	(	PUNCT
ejpam-2620	310	42	ms	ms	NOUN
ejpam-2620	310	43	)	)	PUNCT
ejpam-2620	310	44	radial	radial	ADJ
ejpam-2620	310	45	basis	basis	NOUN
ejpam-2620	310	46	function	function	NOUN
ejpam-2620	310	47	99.675	99.675	NUM
ejpam-2620	310	48	%	%	NOUN
ejpam-2620	310	49	2137	2137	NUM
ejpam-2620	310	50	polynomial	polynomial	ADJ
ejpam-2620	310	51	99.635	99.635	NUM
ejpam-2620	310	52	%	%	NOUN
ejpam-2620	310	53	2122	2122	NUM
ejpam-2620	310	54	sigmoid	sigmoid	NOUN
ejpam-2620	310	55	99.633	99.633	NUM
ejpam-2620	310	56	%	%	NOUN
ejpam-2620	310	57	2106	2106	NUM
ejpam-2620	310	58	linear	linear	PROPN
ejpam-2620	310	59	99.991	99.991	NUM
ejpam-2620	310	60	%	%	NOUN
ejpam-2620	310	61	1466	1466	NUM
ejpam-2620	310	62	based	base	VERB
ejpam-2620	310	63	on	on	ADP
ejpam-2620	310	64	analyses	analysis	NOUN
ejpam-2620	310	65	in	in	ADP
ejpam-2620	310	66	table	table	NOUN
ejpam-2620	310	67	7	7	NUM
ejpam-2620	310	68	,	,	PUNCT
ejpam-2620	310	69	while	while	SCONJ
ejpam-2620	310	70	forming	form	VERB
ejpam-2620	310	71	the	the	DET
ejpam-2620	310	72	classification	classification	NOUN
ejpam-2620	310	73	model	model	NOUN
ejpam-2620	310	74	belonging	belong	VERB
ejpam-2620	310	75	to	to	ADP
ejpam-2620	310	76	kernel	kernel	NOUN
ejpam-2620	310	77	types	type	NOUN
ejpam-2620	310	78	applied	apply	VERB
ejpam-2620	310	79	onto	onto	ADP
ejpam-2620	310	80	the	the	DET
ejpam-2620	310	81	120	120	NUM
ejpam-2620	310	82	×	×	NOUN
ejpam-2620	310	83	227	227	NUM
ejpam-2620	310	84	data	datum	NOUN
ejpam-2620	310	85	set	set	VERB
ejpam-2620	310	86	,	,	PUNCT
ejpam-2620	310	87	working	working	NOUN
ejpam-2620	310	88	time	time	NOUN
ejpam-2620	310	89	elapsed	elapse	VERB
ejpam-2620	310	90	and	and	CCONJ
ejpam-2620	310	91	test	test	NOUN
ejpam-2620	310	92	achievement	achievement	NOUN
ejpam-2620	310	93	rate	rate	NOUN
ejpam-2620	310	94	have	have	AUX
ejpam-2620	310	95	been	be	AUX
ejpam-2620	310	96	evaluated	evaluate	VERB
ejpam-2620	310	97	.	.	PUNCT
ejpam-2620	311	1	the	the	DET
ejpam-2620	311	2	least	least	ADJ
ejpam-2620	311	3	classification	classification	NOUN
ejpam-2620	311	4	duration	duration	NOUN
ejpam-2620	311	5	belongs	belong	VERB
ejpam-2620	311	6	to	to	ADP
ejpam-2620	311	7	the	the	DET
ejpam-2620	311	8	linear	linear	ADJ
ejpam-2620	311	9	kernel	kernel	NOUN
ejpam-2620	311	10	.	.	PUNCT
ejpam-2620	312	1	when	when	SCONJ
ejpam-2620	312	2	classification	classification	NOUN
ejpam-2620	312	3	achievement	achievement	NOUN
ejpam-2620	312	4	rate	rate	NOUN
ejpam-2620	312	5	is	be	AUX
ejpam-2620	312	6	analyzed	analyze	VERB
ejpam-2620	312	7	,	,	PUNCT
ejpam-2620	312	8	the	the	DET
ejpam-2620	312	9	best	good	ADJ
ejpam-2620	312	10	performances	performance	NOUN
ejpam-2620	312	11	are	be	AUX
ejpam-2620	312	12	seen	see	VERB
ejpam-2620	312	13	in	in	ADP
ejpam-2620	312	14	linear	linear	PROPN
ejpam-2620	312	15	,	,	PUNCT
ejpam-2620	312	16	rbf	rbf	PROPN
ejpam-2620	312	17	,	,	PUNCT
ejpam-2620	312	18	polynomial	polynomial	ADJ
ejpam-2620	312	19	and	and	CCONJ
ejpam-2620	312	20	sigmoid	sigmoid	NOUN
ejpam-2620	312	21	kernel	kernel	NOUN
ejpam-2620	312	22	,	,	PUNCT
ejpam-2620	312	23	respectively	respectively	ADV
ejpam-2620	312	24	.	.	PUNCT
ejpam-2620	313	1	the	the	DET
ejpam-2620	313	2	radial	radial	ADJ
ejpam-2620	313	3	basis	basis	NOUN
ejpam-2620	313	4	function	function	NOUN
ejpam-2620	313	5	(	(	PUNCT
ejpam-2620	313	6	rbf	rbf	PROPN
ejpam-2620	313	7	)	)	PUNCT
ejpam-2620	313	8	kernel	kernel	PROPN
ejpam-2620	313	9	has	have	VERB
ejpam-2620	313	10	the	the	DET
ejpam-2620	313	11	highest	high	ADJ
ejpam-2620	313	12	duration	duration	NOUN
ejpam-2620	313	13	of	of	ADP
ejpam-2620	313	14	working	work	VERB
ejpam-2620	313	15	time	time	NOUN
ejpam-2620	313	16	in	in	ADP
ejpam-2620	313	17	the	the	DET
ejpam-2620	313	18	classification	classification	NOUN
ejpam-2620	313	19	regarding	regard	VERB
ejpam-2620	313	20	120	120	NUM
ejpam-2620	313	21	×	×	NOUN
ejpam-2620	313	22	228	228	NUM
ejpam-2620	313	23	data	datum	NOUN
ejpam-2620	313	24	set	set	VERB
ejpam-2620	313	25	given	give	VERB
ejpam-2620	313	26	in	in	ADP
ejpam-2620	313	27	table	table	NOUN
ejpam-2620	313	28	8	8	NUM
ejpam-2620	313	29	.	.	PUNCT
ejpam-2620	314	1	on	on	ADP
ejpam-2620	314	2	the	the	DET
ejpam-2620	314	3	other	other	ADJ
ejpam-2620	314	4	hand	hand	NOUN
ejpam-2620	314	5	,	,	PUNCT
ejpam-2620	314	6	the	the	DET
ejpam-2620	314	7	lowest	low	ADJ
ejpam-2620	314	8	working	working	NOUN
ejpam-2620	314	9	time	time	NOUN
ejpam-2620	314	10	belongs	belong	VERB
ejpam-2620	314	11	to	to	ADP
ejpam-2620	314	12	linear	linear	PROPN
ejpam-2620	314	13	kernel	kernel	PROPN
ejpam-2620	314	14	.	.	PUNCT
ejpam-2620	315	1	when	when	SCONJ
ejpam-2620	315	2	the	the	DET
ejpam-2620	315	3	performance	performance	NOUN
ejpam-2620	315	4	result	result	VERB
ejpam-2620	315	5	in	in	ADP
ejpam-2620	315	6	classification	classification	NOUN
ejpam-2620	315	7	is	be	AUX
ejpam-2620	315	8	examined	examine	VERB
ejpam-2620	315	9	,	,	PUNCT
ejpam-2620	315	10	the	the	DET
ejpam-2620	315	11	most	most	ADV
ejpam-2620	315	12	successful	successful	ADJ
ejpam-2620	315	13	kernel	kernel	NOUN
ejpam-2620	315	14	is	be	AUX
ejpam-2620	315	15	linear	linear	ADJ
ejpam-2620	315	16	kernel	kernel	NOUN
ejpam-2620	315	17	,	,	PUNCT
ejpam-2620	315	18	followed	follow	VERB
ejpam-2620	315	19	by	by	ADP
ejpam-2620	315	20	rbf	rbf	PROPN
ejpam-2620	315	21	,	,	PUNCT
ejpam-2620	315	22	polynomial	polynomial	ADJ
ejpam-2620	315	23	kernel	kernel	NOUN
ejpam-2620	315	24	,	,	PUNCT
ejpam-2620	315	25	and	and	CCONJ
ejpam-2620	315	26	sigmoid	sigmoid	NOUN
ejpam-2620	315	27	kernel	kernel	NOUN
ejpam-2620	315	28	,	,	PUNCT
ejpam-2620	315	29	respectively	respectively	ADV
ejpam-2620	315	30	.	.	PUNCT
ejpam-2620	316	1	4	4	X
ejpam-2620	316	2	.	.	X
ejpam-2620	316	3	conclusions	conclusion	NOUN
ejpam-2620	316	4	the	the	DET
ejpam-2620	316	5	aim	aim	NOUN
ejpam-2620	316	6	of	of	ADP
ejpam-2620	316	7	this	this	DET
ejpam-2620	316	8	study	study	NOUN
ejpam-2620	316	9	is	be	AUX
ejpam-2620	316	10	to	to	PART
ejpam-2620	316	11	be	be	AUX
ejpam-2620	316	12	able	able	ADJ
ejpam-2620	316	13	to	to	PART
ejpam-2620	316	14	carry	carry	VERB
ejpam-2620	316	15	out	out	ADP
ejpam-2620	316	16	a	a	DET
ejpam-2620	316	17	classification	classification	NOUN
ejpam-2620	316	18	using	use	VERB
ejpam-2620	316	19	c	c	NOUN
ejpam-2620	316	20	-	-	PUNCT
ejpam-2620	316	21	svc	svc	NOUN
ejpam-2620	316	22	algorithm	algorithm	NOUN
ejpam-2620	316	23	of	of	ADP
ejpam-2620	316	24	svm	svm	ADJ
ejpam-2620	316	25	algorithm	algorithm	NOUN
ejpam-2620	316	26	from	from	ADP
ejpam-2620	316	27	the	the	DET
ejpam-2620	316	28	data	datum	NOUN
ejpam-2620	316	29	set	set	VERB
ejpam-2620	316	30	regarding	regard	VERB
ejpam-2620	316	31	the	the	DET
ejpam-2620	316	32	lesion	lesion	NOUN
ejpam-2620	316	33	counts	count	NOUN
ejpam-2620	316	34	in	in	ADP
ejpam-2620	316	35	the	the	DET
ejpam-2620	316	36	lesion	lesion	NOUN
ejpam-2620	316	37	diameters	diameter	NOUN
ejpam-2620	316	38	obtained	obtain	VERB
ejpam-2620	316	39	from	from	ADP
ejpam-2620	316	40	the	the	DET
ejpam-2620	316	41	mr	mr	PROPN
ejpam-2620	316	42	images	image	NOUN
ejpam-2620	316	43	of	of	ADP
ejpam-2620	316	44	people	people	NOUN
ejpam-2620	316	45	with	with	ADP
ejpam-2620	316	46	rrms	rrm	NOUN
ejpam-2620	316	47	,	,	PUNCT
ejpam-2620	316	48	spms	spm	NOUN
ejpam-2620	316	49	and	and	CCONJ
ejpam-2620	316	50	ppms	ppm	NOUN
ejpam-2620	316	51	subgroups	subgroup	NOUN
ejpam-2620	316	52	of	of	ADP
ejpam-2620	316	53	ms	ms	PROPN
ejpam-2620	316	54	.	.	PROPN
ejpam-2620	316	55	in	in	ADP
ejpam-2620	316	56	addition	addition	NOUN
ejpam-2620	316	57	,	,	PUNCT
ejpam-2620	316	58	edss	edss	ADJ
ejpam-2620	316	59	scores	score	NOUN
ejpam-2620	316	60	of	of	ADP
ejpam-2620	316	61	each	each	DET
ejpam-2620	316	62	patient	patient	NOUN
ejpam-2620	316	63	have	have	AUX
ejpam-2620	316	64	been	be	AUX
ejpam-2620	316	65	used	use	VERB
ejpam-2620	316	66	.	.	PUNCT
ejpam-2620	317	1	based	base	VERB
ejpam-2620	317	2	on	on	ADP
ejpam-2620	317	3	the	the	DET
ejpam-2620	317	4	four	four	NUM
ejpam-2620	317	5	different	different	ADJ
ejpam-2620	317	6	kernel	kernel	NOUN
ejpam-2620	317	7	types	type	NOUN
ejpam-2620	317	8	of	of	ADP
ejpam-2620	317	9	c	c	NOUN
ejpam-2620	317	10	-	-	PUNCT
ejpam-2620	317	11	svc	svc	PROPN
ejpam-2620	317	12	algorithm	algorithm	NOUN
ejpam-2620	317	13	(	(	PUNCT
ejpam-2620	317	14	radial	radial	ADJ
ejpam-2620	317	15	basis	basis	NOUN
ejpam-2620	317	16	function	function	NOUN
ejpam-2620	317	17	,	,	PUNCT
ejpam-2620	317	18	polynomial	polynomial	ADJ
ejpam-2620	317	19	,	,	PUNCT
ejpam-2620	317	20	sigmoid	sigmoid	NOUN
ejpam-2620	317	21	and	and	CCONJ
ejpam-2620	317	22	linear	linear	ADJ
ejpam-2620	317	23	kernel	kernel	NOUN
ejpam-2620	317	24	)	)	PUNCT
ejpam-2620	317	25	classification	classification	NOUN
ejpam-2620	317	26	has	have	AUX
ejpam-2620	317	27	been	be	AUX
ejpam-2620	317	28	made	make	VERB
ejpam-2620	317	29	.	.	PUNCT
ejpam-2620	318	1	classification	classification	NOUN
ejpam-2620	318	2	has	have	AUX
ejpam-2620	318	3	been	be	AUX
ejpam-2620	318	4	made	make	VERB
ejpam-2620	318	5	based	base	VERB
ejpam-2620	318	6	on	on	ADP
ejpam-2620	318	7	the	the	DET
ejpam-2620	318	8	four	four	NUM
ejpam-2620	318	9	different	different	ADJ
ejpam-2620	318	10	kernel	kernel	NOUN
ejpam-2620	318	11	types	type	NOUN
ejpam-2620	318	12	of	of	ADP
ejpam-2620	318	13	c	c	NOUN
ejpam-2620	318	14	-	-	PUNCT
ejpam-2620	318	15	svc	svc	PROPN
ejpam-2620	318	16	algorithm	algorithm	NOUN
ejpam-2620	318	17	(	(	PUNCT
ejpam-2620	318	18	radial	radial	ADJ
ejpam-2620	318	19	basis	basis	NOUN
ejpam-2620	318	20	function	function	NOUN
ejpam-2620	318	21	,	,	PUNCT
ejpam-2620	318	22	polynomial	polynomial	ADJ
ejpam-2620	318	23	,	,	PUNCT
ejpam-2620	318	24	sigmoid	sigmoid	NOUN
ejpam-2620	318	25	and	and	CCONJ
ejpam-2620	318	26	linear	linear	ADJ
ejpam-2620	318	27	kernels	kernel	NOUN
ejpam-2620	318	28	)	)	PUNCT
ejpam-2620	318	29	.	.	PUNCT
ejpam-2620	319	1	the	the	DET
ejpam-2620	319	2	number	number	NOUN
ejpam-2620	319	3	of	of	ADP
ejpam-2620	319	4	lesion	lesion	NOUN
ejpam-2620	319	5	diameter	diameter	NOUN
ejpam-2620	319	6	taken	take	VERB
ejpam-2620	319	7	from	from	ADP
ejpam-2620	319	8	the	the	DET
ejpam-2620	319	9	mr	mr	PROPN
ejpam-2620	319	10	images	image	NOUN
ejpam-2620	319	11	and	and	CCONJ
ejpam-2620	319	12	edss	edss	ADJ
ejpam-2620	319	13	scores	score	NOUN
ejpam-2620	319	14	of	of	ADP
ejpam-2620	319	15	the	the	DET
ejpam-2620	319	16	ms	ms	PROPN
ejpam-2620	319	17	patients	patient	NOUN
ejpam-2620	319	18	make	make	VERB
ejpam-2620	319	19	up	up	ADP
ejpam-2620	319	20	the	the	DET
ejpam-2620	319	21	dataset	dataset	NOUN
ejpam-2620	319	22	.	.	PUNCT
ejpam-2620	320	1	c	c	X
ejpam-2620	320	2	-	-	PUNCT
ejpam-2620	320	3	svc	svc	PROPN
ejpam-2620	320	4	algorithm	algorithm	NOUN
ejpam-2620	320	5	has	have	AUX
ejpam-2620	320	6	been	be	AUX
ejpam-2620	320	7	applied	apply	VERB
ejpam-2620	320	8	onto	onto	ADP
ejpam-2620	320	9	kernel	kernel	NOUN
ejpam-2620	320	10	types	type	NOUN
ejpam-2620	320	11	separately	separately	ADV
ejpam-2620	320	12	,	,	PUNCT
ejpam-2620	320	13	the	the	DET
ejpam-2620	320	14	achievements	achievement	NOUN
ejpam-2620	320	15	thereof	thereof	ADV
ejpam-2620	320	16	have	have	AUX
ejpam-2620	320	17	been	be	AUX
ejpam-2620	320	18	verified	verify	VERB
ejpam-2620	320	19	and	and	CCONJ
ejpam-2620	320	20	compared	compare	VERB
ejpam-2620	320	21	based	base	VERB
ejpam-2620	320	22	on	on	ADP
ejpam-2620	320	23	10	10	NUM
ejpam-2620	320	24	-	-	ADJ
ejpam-2620	320	25	fold	fold	ADJ
ejpam-2620	320	26	cross	cross	NOUN
ejpam-2620	320	27	validation	validation	NOUN
ejpam-2620	320	28	,	,	PUNCT
ejpam-2620	320	29	which	which	PRON
ejpam-2620	320	30	is	be	AUX
ejpam-2620	320	31	one	one	NUM
ejpam-2620	320	32	of	of	ADP
ejpam-2620	320	33	the	the	DET
ejpam-2620	320	34	relevant	relevant	ADJ
ejpam-2620	320	35	statistical	statistical	ADJ
ejpam-2620	320	36	methods	method	NOUN
ejpam-2620	320	37	.	.	PUNCT
ejpam-2620	321	1	the	the	DET
ejpam-2620	321	2	achievement	achievement	NOUN
ejpam-2620	321	3	of	of	ADP
ejpam-2620	321	4	classification	classification	NOUN
ejpam-2620	321	5	has	have	AUX
ejpam-2620	321	6	been	be	AUX
ejpam-2620	321	7	performed	perform	VERB
ejpam-2620	321	8	separately	separately	ADV
ejpam-2620	321	9	for	for	ADP
ejpam-2620	321	10	kernel	kernel	PROPN
ejpam-2620	321	11	types	type	NOUN
ejpam-2620	321	12	.	.	PUNCT
ejpam-2620	322	1	in	in	ADP
ejpam-2620	322	2	each	each	DET
ejpam-2620	322	3	kernel	kernel	NOUN
ejpam-2620	322	4	time	time	NOUN
ejpam-2620	322	5	,	,	PUNCT
ejpam-2620	322	6	the	the	DET
ejpam-2620	322	7	computation	computation	NOUN
ejpam-2620	322	8	time	time	NOUN
ejpam-2620	322	9	has	have	AUX
ejpam-2620	322	10	been	be	AUX
ejpam-2620	322	11	calculated	calculate	VERB
ejpam-2620	322	12	and	and	CCONJ
ejpam-2620	322	13	the	the	DET
ejpam-2620	322	14	performance	performance	NOUN
ejpam-2620	322	15	analysis	analysis	NOUN
ejpam-2620	322	16	has	have	AUX
ejpam-2620	322	17	been	be	AUX
ejpam-2620	322	18	carried	carry	VERB
ejpam-2620	322	19	out	out	ADP
ejpam-2620	322	20	in	in	ADP
ejpam-2620	322	21	accordance	accordance	NOUN
ejpam-2620	322	22	with	with	ADP
ejpam-2620	322	23	10	10	NUM
ejpam-2620	322	24	-	-	ADJ
ejpam-2620	322	25	fold	fold	ADJ
ejpam-2620	322	26	cross	cross	NOUN
ejpam-2620	322	27	validation	validation	NOUN
ejpam-2620	322	28	method	method	NOUN
ejpam-2620	322	29	.	.	PUNCT
ejpam-2620	323	1	by	by	ADP
ejpam-2620	323	2	adding	add	VERB
ejpam-2620	323	3	edss	edss	ADJ
ejpam-2620	323	4	score	score	NOUN
ejpam-2620	323	5	into	into	ADP
ejpam-2620	323	6	the	the	DET
ejpam-2620	323	7	dataset	dataset	NOUN
ejpam-2620	323	8	,	,	PUNCT
ejpam-2620	323	9	the	the	DET
ejpam-2620	323	10	classification	classification	NOUN
ejpam-2620	323	11	achievement	achievement	NOUN
ejpam-2620	323	12	rate	rate	NOUN
ejpam-2620	323	13	has	have	AUX
ejpam-2620	323	14	increased	increase	VERB
ejpam-2620	323	15	in	in	ADP
ejpam-2620	323	16	all	all	DET
ejpam-2620	323	17	the	the	DET
ejpam-2620	323	18	kernel	kernel	NOUN
ejpam-2620	323	19	types	type	NOUN
ejpam-2620	323	20	based	base	VERB
ejpam-2620	323	21	on	on	ADP
ejpam-2620	323	22	the	the	DET
ejpam-2620	323	23	analyses	analysis	NOUN
ejpam-2620	323	24	conducted	conduct	VERB
ejpam-2620	323	25	.	.	PUNCT
ejpam-2620	324	1	this	this	DET
ejpam-2620	324	2	rate	rate	NOUN
ejpam-2620	324	3	has	have	AUX
ejpam-2620	324	4	been	be	AUX
ejpam-2620	324	5	found	find	VERB
ejpam-2620	324	6	as	as	ADP
ejpam-2620	324	7	0.017	0.017	NUM
ejpam-2620	324	8	%	%	NOUN
ejpam-2620	324	9	for	for	ADP
ejpam-2620	324	10	rbf	rbf	PROPN
ejpam-2620	324	11	kernel	kernel	PROPN
ejpam-2620	324	12	,	,	PUNCT
ejpam-2620	324	13	0.002	0.002	NUM
ejpam-2620	324	14	%	%	NOUN
ejpam-2620	324	15	for	for	ADP
ejpam-2620	324	16	polynomial	polynomial	ADJ
ejpam-2620	324	17	kernel	kernel	NOUN
ejpam-2620	324	18	,	,	PUNCT
ejpam-2620	324	19	0.018	0.018	NUM
ejpam-2620	324	20	%	%	NOUN
ejpam-2620	324	21	for	for	ADP
ejpam-2620	324	22	sigmoid	sigmoid	NOUN
ejpam-2620	324	23	kernel	kernel	NOUN
ejpam-2620	324	24	,	,	PUNCT
ejpam-2620	324	25	and	and	CCONJ
ejpam-2620	324	26	0.25	0.25	NUM
ejpam-2620	324	27	%	%	NOUN
ejpam-2620	324	28	for	for	ADP
ejpam-2620	324	29	linear	linear	PROPN
ejpam-2620	324	30	kernel	kernel	NOUN
ejpam-2620	324	31	.	.	PUNCT
ejpam-2620	325	1	as	as	SCONJ
ejpam-2620	325	2	can	can	AUX
ejpam-2620	325	3	be	be	AUX
ejpam-2620	325	4	seen	see	VERB
ejpam-2620	325	5	from	from	ADP
ejpam-2620	325	6	this	this	DET
ejpam-2620	325	7	point	point	NOUN
ejpam-2620	325	8	,	,	PUNCT
ejpam-2620	325	9	edss	edss	ADV
ejpam-2620	325	10	is	be	AUX
ejpam-2620	325	11	a	a	DET
ejpam-2620	325	12	highly	highly	ADV
ejpam-2620	325	13	important	important	ADJ
ejpam-2620	325	14	factor	factor	NOUN
ejpam-2620	325	15	in	in	ADP
ejpam-2620	325	16	the	the	DET
ejpam-2620	325	17	diagnosis	diagnosis	NOUN
ejpam-2620	325	18	of	of	ADP
ejpam-2620	325	19	ms	ms	PROPN
ejpam-2620	325	20	.	.	PROPN
ejpam-2620	325	21	sigmoid	sigmoid	PROPN
ejpam-2620	325	22	kernel	kernel	PROPN
ejpam-2620	325	23	has	have	AUX
ejpam-2620	325	24	proved	prove	VERB
ejpam-2620	325	25	to	to	PART
ejpam-2620	325	26	be	be	AUX
ejpam-2620	325	27	ineffective	ineffective	ADJ
ejpam-2620	325	28	compared	compare	VERB
ejpam-2620	325	29	to	to	ADP
ejpam-2620	325	30	other	other	ADJ
ejpam-2620	325	31	kernel	kernel	NOUN
ejpam-2620	325	32	types	type	NOUN
ejpam-2620	325	33	when	when	SCONJ
ejpam-2620	325	34	the	the	DET
ejpam-2620	325	35	test	test	NOUN
ejpam-2620	325	36	achievement	achievement	NOUN
ejpam-2620	325	37	rate	rate	NOUN
ejpam-2620	325	38	in	in	ADP
ejpam-2620	325	39	references	reference	NOUN
ejpam-2620	325	40	212	212	NUM
ejpam-2620	325	41	classification	classification	NOUN
ejpam-2620	325	42	and	and	CCONJ
ejpam-2620	325	43	the	the	DET
ejpam-2620	325	44	performance	performance	NOUN
ejpam-2620	325	45	in	in	ADP
ejpam-2620	325	46	classification	classification	NOUN
ejpam-2620	325	47	are	be	AUX
ejpam-2620	325	48	examined	examine	VERB
ejpam-2620	325	49	in	in	ADP
ejpam-2620	325	50	both	both	PRON
ejpam-2620	325	51	of	of	ADP
ejpam-2620	325	52	the	the	DET
ejpam-2620	325	53	datasets	dataset	NOUN
ejpam-2620	325	54	.	.	PUNCT
ejpam-2620	326	1	the	the	DET
ejpam-2620	326	2	reason	reason	NOUN
ejpam-2620	326	3	for	for	ADP
ejpam-2620	326	4	this	this	PRON
ejpam-2620	326	5	is	be	AUX
ejpam-2620	326	6	the	the	DET
ejpam-2620	326	7	γ	γ	NOUN
ejpam-2620	326	8	and	and	CCONJ
ejpam-2620	326	9	r	r	NOUN
ejpam-2620	326	10	parameters	parameter	NOUN
ejpam-2620	326	11	in	in	ADP
ejpam-2620	326	12	sigmoid	sigmoid	NOUN
ejpam-2620	326	13	kernel	kernel	PROPN
ejpam-2620	326	14	.	.	PUNCT
ejpam-2620	327	1	linear	linear	ADJ
ejpam-2620	327	2	kernel	kernel	PROPN
ejpam-2620	327	3	type	type	NOUN
ejpam-2620	327	4	has	have	AUX
ejpam-2620	327	5	been	be	AUX
ejpam-2620	327	6	formed	form	VERB
ejpam-2620	327	7	by	by	ADP
ejpam-2620	327	8	adding	add	VERB
ejpam-2620	327	9	the	the	DET
ejpam-2620	327	10	edss	edss	ADJ
ejpam-2620	327	11	parameter	parameter	NOUN
ejpam-2620	327	12	into	into	ADP
ejpam-2620	327	13	the	the	DET
ejpam-2620	327	14	most	most	ADV
ejpam-2620	327	15	accurate	accurate	ADJ
ejpam-2620	327	16	kernel	kernel	NOUN
ejpam-2620	327	17	type	type	NOUN
ejpam-2620	327	18	dataset	dataset	NOUN
ejpam-2620	327	19	.	.	PUNCT
ejpam-2620	328	1	this	this	DET
ejpam-2620	328	2	study	study	NOUN
ejpam-2620	328	3	highlights	highlight	VERB
ejpam-2620	328	4	the	the	DET
ejpam-2620	328	5	fact	fact	NOUN
ejpam-2620	328	6	that	that	SCONJ
ejpam-2620	328	7	it	it	PRON
ejpam-2620	328	8	is	be	AUX
ejpam-2620	328	9	possible	possible	ADJ
ejpam-2620	328	10	to	to	PART
ejpam-2620	328	11	use	use	VERB
ejpam-2620	328	12	c	c	NOUN
ejpam-2620	328	13	-	-	PUNCT
ejpam-2620	328	14	svc	svc	NOUN
ejpam-2620	328	15	algorithm	algorithm	NOUN
ejpam-2620	328	16	while	while	SCONJ
ejpam-2620	328	17	doing	do	VERB
ejpam-2620	328	18	classifications	classification	NOUN
ejpam-2620	328	19	in	in	ADP
ejpam-2620	328	20	static	static	ADJ
ejpam-2620	328	21	and	and	CCONJ
ejpam-2620	328	22	non	non	ADJ
ejpam-2620	328	23	-	-	ADJ
ejpam-2620	328	24	static	static	ADJ
ejpam-2620	328	25	medical	medical	ADJ
ejpam-2620	328	26	data	datum	NOUN
ejpam-2620	328	27	.	.	PUNCT
ejpam-2620	329	1	it	it	PRON
ejpam-2620	329	2	has	have	AUX
ejpam-2620	329	3	also	also	ADV
ejpam-2620	329	4	been	be	AUX
ejpam-2620	329	5	aimed	aim	VERB
ejpam-2620	329	6	that	that	SCONJ
ejpam-2620	329	7	the	the	DET
ejpam-2620	329	8	study	study	NOUN
ejpam-2620	329	9	could	could	AUX
ejpam-2620	329	10	provide	provide	VERB
ejpam-2620	329	11	a	a	DET
ejpam-2620	329	12	reference	reference	NOUN
ejpam-2620	329	13	in	in	ADP
ejpam-2620	329	14	the	the	DET
ejpam-2620	329	15	view	view	NOUN
ejpam-2620	329	16	that	that	SCONJ
ejpam-2620	329	17	achievement	achievement	NOUN
ejpam-2620	329	18	rate	rate	NOUN
ejpam-2620	329	19	can	can	AUX
ejpam-2620	329	20	be	be	AUX
ejpam-2620	329	21	received	receive	VERB
ejpam-2620	329	22	based	base	VERB
ejpam-2620	329	23	on	on	ADP
ejpam-2620	329	24	different	different	ADJ
ejpam-2620	329	25	kernel	kernel	NOUN
ejpam-2620	329	26	types	type	NOUN
ejpam-2620	329	27	.	.	PUNCT
ejpam-2620	330	1	the	the	DET
ejpam-2620	330	2	findings	finding	NOUN
ejpam-2620	330	3	the	the	DET
ejpam-2620	330	4	study	study	NOUN
ejpam-2620	330	5	have	have	AUX
ejpam-2620	330	6	yielded	yield	VERB
ejpam-2620	330	7	,	,	PUNCT
ejpam-2620	330	8	like	like	ADP
ejpam-2620	330	9	the	the	DET
ejpam-2620	330	10	data	datum	NOUN
ejpam-2620	330	11	such	such	ADJ
ejpam-2620	330	12	as	as	ADP
ejpam-2620	330	13	lesion	lesion	NOUN
ejpam-2620	330	14	diameter	diameter	NOUN
ejpam-2620	330	15	,	,	PUNCT
ejpam-2620	330	16	number	number	NOUN
ejpam-2620	330	17	etc	etc	X
ejpam-2620	330	18	.	.	X
ejpam-2620	330	19	received	receive	VERB
ejpam-2620	330	20	from	from	ADP
ejpam-2620	330	21	the	the	DET
ejpam-2620	330	22	mr	mr	PROPN
ejpam-2620	330	23	images	image	NOUN
ejpam-2620	330	24	of	of	ADP
ejpam-2620	330	25	the	the	DET
ejpam-2620	330	26	patients	patient	NOUN
ejpam-2620	330	27	,	,	PUNCT
ejpam-2620	330	28	edss	edss	ADV
ejpam-2620	330	29	and	and	CCONJ
ejpam-2620	330	30	doctors	doctor	NOUN
ejpam-2620	330	31	’	’	PART
ejpam-2620	330	32	guidance	guidance	NOUN
ejpam-2620	330	33	were	be	AUX
ejpam-2620	330	34	also	also	ADV
ejpam-2620	330	35	elements	element	NOUN
ejpam-2620	330	36	that	that	PRON
ejpam-2620	330	37	have	have	AUX
ejpam-2620	330	38	been	be	AUX
ejpam-2620	330	39	made	make	VERB
ejpam-2620	330	40	use	use	NOUN
ejpam-2620	330	41	of	of	ADP
ejpam-2620	330	42	.	.	PUNCT
ejpam-2620	331	1	acknowledgements	acknowledgement	NOUN
ejpam-2620	331	2	the	the	DET
ejpam-2620	331	3	authors	author	NOUN
ejpam-2620	331	4	would	would	AUX
ejpam-2620	331	5	like	like	VERB
ejpam-2620	331	6	to	to	PART
ejpam-2620	331	7	express	express	VERB
ejpam-2620	331	8	their	their	PRON
ejpam-2620	331	9	gratitude	gratitude	NOUN
ejpam-2620	331	10	to	to	ADP
ejpam-2620	331	11	hacettepe	hacettepe	PROPN
ejpam-2620	331	12	university	university	PROPN
ejpam-2620	331	13	medical	medical	ADJ
ejpam-2620	331	14	faculty	faculty	NOUN
ejpam-2620	331	15	,	,	PUNCT
ejpam-2620	331	16	neurology	neurology	NOUN
ejpam-2620	331	17	and	and	CCONJ
ejpam-2620	331	18	radiology	radiology	NOUN
ejpam-2620	331	19	department	department	NOUN
ejpam-2620	331	20	in	in	ADP
ejpam-2620	331	21	primer	primer	NOUN
ejpam-2620	331	22	magnetic	magnetic	ADJ
ejpam-2620	331	23	resonance	resonance	NOUN
ejpam-2620	331	24	imaging	imaging	NOUN
ejpam-2620	331	25	center	center	NOUN
ejpam-2620	331	26	,	,	PUNCT
ejpam-2620	331	27	and	and	CCONJ
ejpam-2620	331	28	to	to	ADP
ejpam-2620	331	29	radiologists	radiologist	NOUN
ejpam-2620	331	30	eray	eray	PROPN
ejpam-2620	331	31	atlı	atlı	PROPN
ejpam-2620	331	32	md	md	PROPN
ejpam-2620	331	33	and	and	CCONJ
ejpam-2620	331	34	mehmet	mehmet	PROPN
ejpam-2620	331	35	yorubulut	yorubulut	PROPN
ejpam-2620	331	36	md	md	PROPN
ejpam-2620	331	37	,	,	PUNCT
ejpam-2620	331	38	for	for	ADP
ejpam-2620	331	39	their	their	PRON
ejpam-2620	331	40	collaboration	collaboration	NOUN
ejpam-2620	331	41	with	with	ADP
ejpam-2620	331	42	domain	domain	NOUN
ejpam-2620	331	43	knowledge	knowledge	NOUN
ejpam-2620	331	44	and	and	CCONJ
ejpam-2620	331	45	manual	manual	ADJ
ejpam-2620	331	46	segmentation	segmentation	NOUN
ejpam-2620	331	47	of	of	ADP
ejpam-2620	331	48	the	the	DET
ejpam-2620	331	49	input	input	NOUN
ejpam-2620	331	50	dataset	dataset	NOUN
ejpam-2620	331	51	.	.	PUNCT
ejpam-2620	332	1	references	reference	NOUN
ejpam-2620	332	2	[	[	X
ejpam-2620	332	3	1	1	NUM
ejpam-2620	332	4	]	]	PUNCT
ejpam-2620	332	5	h.	h.	NOUN
ejpam-2620	332	6	alashwal	alashwal	PROPN
ejpam-2620	332	7	,	,	PUNCT
ejpam-2620	332	8	s.	s.	PROPN
ejpam-2620	332	9	deris	deris	PROPN
ejpam-2620	332	10	,	,	PUNCT
ejpam-2620	332	11	and	and	CCONJ
ejpam-2620	332	12	r.m	r.m	PROPN
ejpam-2620	332	13	.	.	PROPN
ejpam-2620	332	14	othman	othman	PROPN
ejpam-2620	332	15	.	.	PUNCT
ejpam-2620	333	1	a	a	DET
ejpam-2620	333	2	bayesian	bayesian	NOUN
ejpam-2620	333	3	kernel	kernel	NOUN
ejpam-2620	333	4	for	for	ADP
ejpam-2620	333	5	the	the	DET
ejpam-2620	333	6	prediction	prediction	NOUN
ejpam-2620	333	7	of	of	ADP
ejpam-2620	333	8	proteinprotein	proteinprotein	ADJ
ejpam-2620	333	9	interactions	interaction	NOUN
ejpam-2620	333	10	.	.	PUNCT
ejpam-2620	334	1	world	world	PROPN
ejpam-2620	334	2	academy	academy	PROPN
ejpam-2620	334	3	of	of	ADP
ejpam-2620	334	4	science	science	PROPN
ejpam-2620	334	5	,	,	PUNCT
ejpam-2620	334	6	engineering	engineering	NOUN
ejpam-2620	334	7	and	and	CCONJ
ejpam-2620	334	8	technology	technology	NOUN
ejpam-2620	334	9	,	,	PUNCT
ejpam-2620	334	10	51:928–933	51:928–933	NUM
ejpam-2620	334	11	,	,	PUNCT
ejpam-2620	334	12	2009	2009	NUM
ejpam-2620	334	13	.	.	PUNCT
ejpam-2620	335	1	[	[	X
ejpam-2620	335	2	2	2	NUM
ejpam-2620	335	3	]	]	PUNCT
ejpam-2620	335	4	alisneaky	alisneaky	NOUN
ejpam-2620	335	5	.	.	PUNCT
ejpam-2620	336	1	support	support	NOUN
ejpam-2620	336	2	vector	vector	NOUN
ejpam-2620	336	3	machine	machine	NOUN
ejpam-2620	336	4	—	—	PUNCT
ejpam-2620	336	5	wikipedia	wikipedia	PROPN
ejpam-2620	336	6	,	,	PUNCT
ejpam-2620	336	7	the	the	DET
ejpam-2620	336	8	free	free	ADJ
ejpam-2620	336	9	encyclopedia	encyclopedia	NOUN
ejpam-2620	336	10	,	,	PUNCT
ejpam-2620	336	11	2011	2011	NUM
ejpam-2620	336	12	.	.	PUNCT
ejpam-2620	337	1	[	[	X
ejpam-2620	337	2	online	online	ADV
ejpam-2620	337	3	;	;	PUNCT
ejpam-2620	337	4	accessed	access	VERB
ejpam-2620	337	5	17	17	NUM
ejpam-2620	337	6	-	-	PUNCT
ejpam-2620	337	7	april-2011	april-2011	NUM
ejpam-2620	337	8	]	]	PUNCT
ejpam-2620	337	9	.	.	PUNCT
ejpam-2620	338	1	[	[	X
ejpam-2620	338	2	3	3	X
ejpam-2620	338	3	]	]	X
ejpam-2620	338	4	e.	e.	PROPN
ejpam-2620	338	5	alpaydın	alpaydın	PROPN
ejpam-2620	338	6	.	.	PUNCT
ejpam-2620	339	1	yapay	yapay	PROPN
ejpam-2620	339	2	öğrenme	öğrenme	PROPN
ejpam-2620	339	3	.	.	PUNCT
ejpam-2620	339	4	boğaziçi	boğaziçi	PROPN
ejpam-2620	339	5	üniversitesi	üniversitesi	PROPN
ejpam-2620	339	6	yayınevi	yayınevi	PROPN
ejpam-2620	339	7	,	,	PUNCT
ejpam-2620	339	8	istanbul	istanbul	PROPN
ejpam-2620	339	9	,	,	PUNCT
ejpam-2620	339	10	turkey	turkey	PROPN
ejpam-2620	339	11	,	,	PUNCT
ejpam-2620	339	12	2013	2013	NUM
ejpam-2620	339	13	.	.	PUNCT
ejpam-2620	340	1	[	[	X
ejpam-2620	340	2	4	4	X
ejpam-2620	340	3	]	]	PUNCT
ejpam-2620	340	4	j.	j.	PROPN
ejpam-2620	340	5	basak	basak	PROPN
ejpam-2620	340	6	.	.	PUNCT
ejpam-2620	341	1	a	a	DET
ejpam-2620	341	2	least	least	ADJ
ejpam-2620	341	3	square	square	ADJ
ejpam-2620	341	4	kernel	kernel	PROPN
ejpam-2620	341	5	machine	machine	NOUN
ejpam-2620	341	6	with	with	ADP
ejpam-2620	341	7	box	box	NOUN
ejpam-2620	341	8	constraints	constraint	NOUN
ejpam-2620	341	9	.	.	PUNCT
ejpam-2620	342	1	in	in	ADP
ejpam-2620	342	2	19th	19th	ADJ
ejpam-2620	342	3	international	international	ADJ
ejpam-2620	342	4	conference	conference	NOUN
ejpam-2620	342	5	on	on	ADP
ejpam-2620	342	6	pattern	pattern	NOUN
ejpam-2620	342	7	recognition	recognition	NOUN
ejpam-2620	342	8	,	,	PUNCT
ejpam-2620	342	9	pages	page	NOUN
ejpam-2620	342	10	1–4	1–4	PROPN
ejpam-2620	342	11	,	,	PUNCT
ejpam-2620	342	12	florida	florida	PROPN
ejpam-2620	342	13	,	,	PUNCT
ejpam-2620	342	14	usa	usa	PROPN
ejpam-2620	342	15	,	,	PUNCT
ejpam-2620	342	16	2008	2008	NUM
ejpam-2620	342	17	.	.	PUNCT
ejpam-2620	343	1	ieee	ieee	NOUN
ejpam-2620	343	2	.	.	PUNCT
ejpam-2620	344	1	[	[	X
ejpam-2620	344	2	5	5	NUM
ejpam-2620	344	3	]	]	PUNCT
ejpam-2620	344	4	k.	k.	NOUN
ejpam-2620	344	5	bendfeldt	bendfeldt	PROPN
ejpam-2620	344	6	,	,	PUNCT
ejpam-2620	344	7	s.	s.	PROPN
ejpam-2620	344	8	klöppel	klöppel	PROPN
ejpam-2620	344	9	,	,	PUNCT
ejpam-2620	344	10	t.e	t.e	PROPN
ejpam-2620	344	11	.	.	PROPN
ejpam-2620	344	12	nichols	nichols	PROPN
ejpam-2620	344	13	,	,	PUNCT
ejpam-2620	344	14	r.	r.	PROPN
ejpam-2620	344	15	smieskova	smieskova	PROPN
ejpam-2620	344	16	,	,	PUNCT
ejpam-2620	344	17	p.	p.	NOUN
ejpam-2620	344	18	kuster	kuster	NOUN
ejpam-2620	344	19	,	,	PUNCT
ejpam-2620	344	20	s.	s.	PROPN
ejpam-2620	344	21	traud	traud	PROPN
ejpam-2620	344	22	,	,	PUNCT
ejpam-2620	344	23	n.m	n.m	PROPN
ejpam-2620	344	24	.	.	PROPN
ejpam-2620	344	25	lenke	lenke	PROPN
ejpam-2620	344	26	,	,	PUNCT
ejpam-2620	344	27	y.	y.	PROPN
ejpam-2620	344	28	naegelin	naegelin	PROPN
ejpam-2620	344	29	,	,	PUNCT
ejpam-2620	344	30	l.	l.	PROPN
ejpam-2620	344	31	kappos	kappos	PROPN
ejpam-2620	344	32	,	,	PUNCT
ejpam-2620	344	33	e.w	e.w	PROPN
ejpam-2620	344	34	.	.	PROPN
ejpam-2620	344	35	radue	radue	NOUN
ejpam-2620	344	36	,	,	PUNCT
ejpam-2620	344	37	and	and	CCONJ
ejpam-2620	344	38	s.j	s.j	PROPN
ejpam-2620	344	39	.	.	PROPN
ejpam-2620	344	40	borgwardt	borgwardt	PROPN
ejpam-2620	344	41	.	.	PUNCT
ejpam-2620	345	1	multivariate	multivariate	NOUN
ejpam-2620	345	2	pattern	pattern	NOUN
ejpam-2620	345	3	classification	classification	NOUN
ejpam-2620	345	4	of	of	ADP
ejpam-2620	345	5	gray	gray	ADJ
ejpam-2620	345	6	matter	matter	NOUN
ejpam-2620	345	7	pathology	pathology	NOUN
ejpam-2620	345	8	in	in	ADP
ejpam-2620	345	9	multiple	multiple	ADJ
ejpam-2620	345	10	sclerosis	sclerosis	NOUN
ejpam-2620	345	11	.	.	PUNCT
ejpam-2620	346	1	neuroimage	neuroimage	NOUN
ejpam-2620	346	2	,	,	PUNCT
ejpam-2620	346	3	60(1):400–408	60(1):400–408	PROPN
ejpam-2620	346	4	,	,	PUNCT
ejpam-2620	346	5	mar	mar	PROPN
ejpam-2620	346	6	2012	2012	NUM
ejpam-2620	346	7	.	.	PUNCT
ejpam-2620	347	1	[	[	X
ejpam-2620	347	2	6	6	NUM
ejpam-2620	347	3	]	]	PUNCT
ejpam-2620	347	4	r.	r.	PROPN
ejpam-2620	347	5	bergamaschi	bergamaschi	PROPN
ejpam-2620	347	6	,	,	PUNCT
ejpam-2620	347	7	s.	s.	PROPN
ejpam-2620	347	8	quaglini	quaglini	PROPN
ejpam-2620	347	9	,	,	PUNCT
ejpam-2620	347	10	m.	m.	PROPN
ejpam-2620	347	11	trojano	trojano	PROPN
ejpam-2620	347	12	,	,	PUNCT
ejpam-2620	347	13	m.p	m.p	PROPN
ejpam-2620	347	14	.	.	PROPN
ejpam-2620	347	15	amato	amato	PROPN
ejpam-2620	347	16	,	,	PUNCT
ejpam-2620	347	17	e.	e.	PROPN
ejpam-2620	347	18	tavazzi	tavazzi	PROPN
ejpam-2620	347	19	,	,	PUNCT
ejpam-2620	347	20	d.	d.	PROPN
ejpam-2620	347	21	paolicelli	paolicelli	PROPN
ejpam-2620	347	22	,	,	PUNCT
ejpam-2620	347	23	v.	v.	PROPN
ejpam-2620	347	24	zipoli	zipoli	PROPN
ejpam-2620	347	25	,	,	PUNCT
ejpam-2620	347	26	a.	a.	PROPN
ejpam-2620	347	27	romani	romani	PROPN
ejpam-2620	347	28	,	,	PUNCT
ejpam-2620	347	29	a.	a.	NOUN
ejpam-2620	347	30	fuiani	fuiani	PROPN
ejpam-2620	347	31	,	,	PUNCT
ejpam-2620	347	32	e.	e.	PROPN
ejpam-2620	347	33	portaccio	portaccio	PROPN
ejpam-2620	347	34	,	,	PUNCT
ejpam-2620	347	35	c.	c.	PROPN
ejpam-2620	347	36	berzuini	berzuini	PROPN
ejpam-2620	347	37	,	,	PUNCT
ejpam-2620	347	38	c.	c.	PROPN
ejpam-2620	347	39	montomoli	montomoli	PROPN
ejpam-2620	347	40	,	,	PUNCT
ejpam-2620	347	41	s.	s.	PROPN
ejpam-2620	347	42	bastianello	bastianello	PROPN
ejpam-2620	347	43	,	,	PUNCT
ejpam-2620	347	44	and	and	CCONJ
ejpam-2620	347	45	v.	v.	ADP
ejpam-2620	347	46	cosi	cosi	PROPN
ejpam-2620	347	47	.	.	PUNCT
ejpam-2620	348	1	early	early	ADJ
ejpam-2620	348	2	prediction	prediction	NOUN
ejpam-2620	348	3	of	of	ADP
ejpam-2620	348	4	the	the	DET
ejpam-2620	348	5	long	long	ADJ
ejpam-2620	348	6	term	term	NOUN
ejpam-2620	348	7	evolution	evolution	NOUN
ejpam-2620	348	8	of	of	ADP
ejpam-2620	348	9	multiple	multiple	ADJ
ejpam-2620	348	10	sclerosis	sclerosis	NOUN
ejpam-2620	348	11	:	:	PUNCT
ejpam-2620	348	12	the	the	DET
ejpam-2620	348	13	bayesian	bayesian	NOUN
ejpam-2620	348	14	risk	risk	NOUN
ejpam-2620	348	15	estimate	estimate	NOUN
ejpam-2620	348	16	for	for	ADP
ejpam-2620	348	17	multiple	multiple	ADJ
ejpam-2620	348	18	sclerosis	sclerosis	NOUN
ejpam-2620	348	19	(	(	PUNCT
ejpam-2620	348	20	brems	brem	NOUN
ejpam-2620	348	21	)	)	PUNCT
ejpam-2620	348	22	score	score	NOUN
ejpam-2620	348	23	.	.	PUNCT
ejpam-2620	349	1	journal	journal	PROPN
ejpam-2620	349	2	of	of	ADP
ejpam-2620	349	3	neurology	neurology	NOUN
ejpam-2620	349	4	,	,	PUNCT
ejpam-2620	349	5	neurosurgery	neurosurgery	NOUN
ejpam-2620	349	6	&	&	CCONJ
ejpam-2620	349	7	psychiatry	psychiatry	NOUN
ejpam-2620	349	8	,	,	PUNCT
ejpam-2620	349	9	78(7):757–759	78(7):757–759	PROPN
ejpam-2620	349	10	,	,	PUNCT
ejpam-2620	349	11	dec	dec	PROPN
ejpam-2620	349	12	2006	2006	NUM
ejpam-2620	349	13	.	.	PUNCT
ejpam-2620	350	1	[	[	X
ejpam-2620	350	2	7	7	NUM
ejpam-2620	350	3	]	]	X
ejpam-2620	350	4	b.e	b.e	PROPN
ejpam-2620	350	5	.	.	PROPN
ejpam-2620	350	6	boser	boser	PROPN
ejpam-2620	350	7	,	,	PUNCT
ejpam-2620	350	8	i.m	i.m	PROPN
ejpam-2620	350	9	.	.	PROPN
ejpam-2620	350	10	guyon	guyon	PROPN
ejpam-2620	350	11	,	,	PUNCT
ejpam-2620	350	12	and	and	CCONJ
ejpam-2620	350	13	v.n	v.n	PROPN
ejpam-2620	350	14	.	.	PROPN
ejpam-2620	350	15	vapnik	vapnik	PROPN
ejpam-2620	350	16	.	.	PUNCT
ejpam-2620	351	1	a	a	DET
ejpam-2620	351	2	training	training	NOUN
ejpam-2620	351	3	algorithm	algorithm	NOUN
ejpam-2620	351	4	for	for	ADP
ejpam-2620	351	5	optimal	optimal	ADJ
ejpam-2620	351	6	margin	margin	NOUN
ejpam-2620	351	7	classifiers	classifier	NOUN
ejpam-2620	351	8	.	.	PUNCT
ejpam-2620	352	1	in	in	ADP
ejpam-2620	352	2	proceedings	proceeding	NOUN
ejpam-2620	352	3	of	of	ADP
ejpam-2620	352	4	the	the	DET
ejpam-2620	352	5	fifth	fifth	ADJ
ejpam-2620	352	6	annual	annual	ADJ
ejpam-2620	352	7	workshop	workshop	NOUN
ejpam-2620	352	8	on	on	ADP
ejpam-2620	352	9	computational	computational	ADJ
ejpam-2620	352	10	learning	learning	NOUN
ejpam-2620	352	11	theory	theory	NOUN
ejpam-2620	352	12	,	,	PUNCT
ejpam-2620	352	13	colt	colt	NOUN
ejpam-2620	352	14	’	'	PUNCT
ejpam-2620	352	15	92	92	NUM
ejpam-2620	352	16	,	,	PUNCT
ejpam-2620	352	17	pages	page	NOUN
ejpam-2620	352	18	144–152	144–152	NUM
ejpam-2620	352	19	,	,	PUNCT
ejpam-2620	352	20	new	new	PROPN
ejpam-2620	352	21	york	york	PROPN
ejpam-2620	352	22	,	,	PUNCT
ejpam-2620	352	23	ny	ny	PROPN
ejpam-2620	352	24	,	,	PUNCT
ejpam-2620	352	25	usa	usa	PROPN
ejpam-2620	352	26	,	,	PUNCT
ejpam-2620	352	27	1992	1992	NUM
ejpam-2620	352	28	.	.	PUNCT
ejpam-2620	352	29	acm	acm	PROPN
ejpam-2620	352	30	.	.	PUNCT
ejpam-2620	353	1	references	reference	NOUN
ejpam-2620	353	2	213	213	NUM
ejpam-2620	353	3	[	[	SYM
ejpam-2620	353	4	8	8	NUM
ejpam-2620	353	5	]	]	X
ejpam-2620	353	6	s.	s.	PROPN
ejpam-2620	353	7	boughorbel	boughorbel	PROPN
ejpam-2620	353	8	,	,	PUNCT
ejpam-2620	353	9	j.	j.	PROPN
ejpam-2620	353	10	tarel	tarel	PROPN
ejpam-2620	353	11	,	,	PUNCT
ejpam-2620	353	12	and	and	CCONJ
ejpam-2620	353	13	n.	n.	PROPN
ejpam-2620	353	14	boujema	boujema	NOUN
ejpam-2620	353	15	.	.	PUNCT
ejpam-2620	354	1	generalized	generalized	ADJ
ejpam-2620	354	2	histogram	histogram	NOUN
ejpam-2620	354	3	intersection	intersection	NOUN
ejpam-2620	354	4	kernel	kernel	NOUN
ejpam-2620	354	5	for	for	ADP
ejpam-2620	354	6	image	image	NOUN
ejpam-2620	354	7	recognition	recognition	NOUN
ejpam-2620	354	8	.	.	PUNCT
ejpam-2620	355	1	in	in	ADP
ejpam-2620	355	2	ieee	ieee	PROPN
ejpam-2620	355	3	international	international	ADJ
ejpam-2620	355	4	conference	conference	NOUN
ejpam-2620	355	5	on	on	ADP
ejpam-2620	355	6	image	image	NOUN
ejpam-2620	355	7	processing	processing	NOUN
ejpam-2620	355	8	,	,	PUNCT
ejpam-2620	355	9	volume	volume	NOUN
ejpam-2620	355	10	3	3	NUM
ejpam-2620	355	11	,	,	PUNCT
ejpam-2620	355	12	pages	page	NOUN
ejpam-2620	355	13	iii–161	iii–161	PROPN
ejpam-2620	355	14	,	,	PUNCT
ejpam-2620	355	15	genoa	genoa	PROPN
ejpam-2620	355	16	,	,	PUNCT
ejpam-2620	355	17	italy	italy	PROPN
ejpam-2620	355	18	,	,	PUNCT
ejpam-2620	355	19	2005	2005	NUM
ejpam-2620	355	20	.	.	PUNCT
ejpam-2620	356	1	ieee	ieee	NOUN
ejpam-2620	356	2	.	.	PUNCT
ejpam-2620	357	1	[	[	X
ejpam-2620	357	2	9	9	NUM
ejpam-2620	357	3	]	]	X
ejpam-2620	357	4	c.c	c.c	PROPN
ejpam-2620	357	5	.	.	PROPN
ejpam-2620	357	6	chang	chang	PROPN
ejpam-2620	357	7	and	and	CCONJ
ejpam-2620	357	8	c.j	c.j	PROPN
ejpam-2620	357	9	.	.	PROPN
ejpam-2620	357	10	lin	lin	PROPN
ejpam-2620	358	1	.	.	PUNCT
ejpam-2620	358	2	libsvm	libsvm	PROPN
ejpam-2620	358	3	:	:	PUNCT
ejpam-2620	358	4	a	a	DET
ejpam-2620	358	5	library	library	NOUN
ejpam-2620	358	6	for	for	ADP
ejpam-2620	358	7	support	support	NOUN
ejpam-2620	358	8	vector	vector	NOUN
ejpam-2620	358	9	machines	machine	NOUN
ejpam-2620	358	10	.	.	PUNCT
ejpam-2620	359	1	acm	acm	PROPN
ejpam-2620	359	2	transactions	transaction	NOUN
ejpam-2620	359	3	on	on	ADP
ejpam-2620	359	4	intelligent	intelligent	ADJ
ejpam-2620	359	5	systems	system	NOUN
ejpam-2620	359	6	and	and	CCONJ
ejpam-2620	359	7	technology	technology	NOUN
ejpam-2620	359	8	,	,	PUNCT
ejpam-2620	359	9	2:27:1–27:27	2:27:1–27:27	NUM
ejpam-2620	359	10	,	,	PUNCT
ejpam-2620	359	11	2011	2011	NUM
ejpam-2620	359	12	.	.	PUNCT
ejpam-2620	360	1	[	[	X
ejpam-2620	360	2	10	10	NUM
ejpam-2620	360	3	]	]	X
ejpam-2620	360	4	c.	c.	NOUN
ejpam-2620	360	5	cortes	corte	VERB
ejpam-2620	360	6	and	and	CCONJ
ejpam-2620	360	7	v.	v.	ADP
ejpam-2620	360	8	vapnik	vapnik	X
ejpam-2620	360	9	.	.	PUNCT
ejpam-2620	361	1	support	support	NOUN
ejpam-2620	361	2	-	-	PUNCT
ejpam-2620	361	3	vector	vector	NOUN
ejpam-2620	361	4	networks	network	NOUN
ejpam-2620	361	5	.	.	PUNCT
ejpam-2620	362	1	machine	machine	NOUN
ejpam-2620	362	2	learning	learning	NOUN
ejpam-2620	362	3	,	,	PUNCT
ejpam-2620	362	4	20(3):273–29	20(3):273–29	NUM
ejpam-2620	362	5	,	,	PUNCT
ejpam-2620	362	6	1995	1995	NUM
ejpam-2620	362	7	.	.	PUNCT
ejpam-2620	363	1	[	[	X
ejpam-2620	363	2	11	11	NUM
ejpam-2620	363	3	]	]	PUNCT
ejpam-2620	363	4	s.	s.	PROPN
ejpam-2620	363	5	fomel	fomel	PROPN
ejpam-2620	363	6	.	.	PUNCT
ejpam-2620	364	1	inverse	inverse	PROPN
ejpam-2620	364	2	b	b	X
ejpam-2620	364	3	-	-	PUNCT
ejpam-2620	364	4	spline	spline	NOUN
ejpam-2620	364	5	interpolation	interpolation	NOUN
ejpam-2620	364	6	,	,	PUNCT
ejpam-2620	364	7	2000	2000	NUM
ejpam-2620	364	8	.	.	PUNCT
ejpam-2620	365	1	[	[	X
ejpam-2620	365	2	12	12	NUM
ejpam-2620	365	3	]	]	PUNCT
ejpam-2620	365	4	m.	m.	NOUN
ejpam-2620	365	5	gaspari	gaspari	PROPN
ejpam-2620	365	6	,	,	PUNCT
ejpam-2620	365	7	g.	g.	PROPN
ejpam-2620	365	8	roveda	roveda	PROPN
ejpam-2620	365	9	,	,	PUNCT
ejpam-2620	365	10	c.	c.	PROPN
ejpam-2620	365	11	scandellari	scandellari	PROPN
ejpam-2620	365	12	,	,	PUNCT
ejpam-2620	365	13	and	and	CCONJ
ejpam-2620	365	14	s.	s.	PROPN
ejpam-2620	365	15	stecchi	stecchi	PROPN
ejpam-2620	365	16	.	.	PUNCT
ejpam-2620	366	1	an	an	DET
ejpam-2620	366	2	expert	expert	NOUN
ejpam-2620	366	3	system	system	NOUN
ejpam-2620	366	4	for	for	ADP
ejpam-2620	366	5	the	the	DET
ejpam-2620	366	6	evaluation	evaluation	NOUN
ejpam-2620	366	7	of	of	ADP
ejpam-2620	366	8	edss	edss	ADV
ejpam-2620	366	9	in	in	ADP
ejpam-2620	366	10	multiple	multiple	ADJ
ejpam-2620	366	11	sclerosis	sclerosis	NOUN
ejpam-2620	366	12	.	.	PUNCT
ejpam-2620	367	1	artificial	artificial	ADJ
ejpam-2620	367	2	intelligence	intelligence	NOUN
ejpam-2620	367	3	in	in	ADP
ejpam-2620	367	4	medicine	medicine	NOUN
ejpam-2620	367	5	,	,	PUNCT
ejpam-2620	367	6	25(2):187–210	25(2):187–210	PROPN
ejpam-2620	367	7	,	,	PUNCT
ejpam-2620	367	8	jun	jun	PROPN
ejpam-2620	367	9	2002	2002	NUM
ejpam-2620	367	10	.	.	PUNCT
ejpam-2620	368	1	[	[	X
ejpam-2620	368	2	13	13	NUM
ejpam-2620	368	3	]	]	X
ejpam-2620	368	4	m.g	m.g	PROPN
ejpam-2620	368	5	.	.	PROPN
ejpam-2620	368	6	genton	genton	PROPN
ejpam-2620	368	7	.	.	PUNCT
ejpam-2620	369	1	classes	class	NOUN
ejpam-2620	369	2	of	of	ADP
ejpam-2620	369	3	kernels	kernel	NOUN
ejpam-2620	369	4	for	for	ADP
ejpam-2620	369	5	machine	machine	NOUN
ejpam-2620	369	6	learning	learning	NOUN
ejpam-2620	369	7	:	:	PUNCT
ejpam-2620	369	8	a	a	DET
ejpam-2620	369	9	statistics	statistic	NOUN
ejpam-2620	369	10	perspective	perspective	NOUN
ejpam-2620	369	11	.	.	PUNCT
ejpam-2620	370	1	the	the	DET
ejpam-2620	370	2	journal	journal	NOUN
ejpam-2620	370	3	of	of	ADP
ejpam-2620	370	4	machine	machine	NOUN
ejpam-2620	370	5	learning	learn	VERB
ejpam-2620	370	6	research	research	NOUN
ejpam-2620	370	7	,	,	PUNCT
ejpam-2620	370	8	2:299–312	2:299–312	NUM
ejpam-2620	370	9	,	,	PUNCT
ejpam-2620	370	10	2002	2002	NUM
ejpam-2620	370	11	.	.	PUNCT
ejpam-2620	371	1	[	[	X
ejpam-2620	371	2	14	14	NUM
ejpam-2620	371	3	]	]	X
ejpam-2620	371	4	h.	h.	PROPN
ejpam-2620	371	5	gutermana	gutermana	PROPN
ejpam-2620	371	6	,	,	PUNCT
ejpam-2620	371	7	y.	y.	PROPN
ejpam-2620	371	8	nehmadi	nehmadi	PROPN
ejpam-2620	371	9	,	,	PUNCT
ejpam-2620	371	10	a.	a.	NOUN
ejpam-2620	371	11	chistyakov	chistyakov	PROPN
ejpam-2620	371	12	,	,	PUNCT
ejpam-2620	371	13	j.f	j.f	PROPN
ejpam-2620	371	14	.	.	PROPN
ejpam-2620	371	15	soustiel	soustiel	PROPN
ejpam-2620	371	16	,	,	PUNCT
ejpam-2620	371	17	and	and	CCONJ
ejpam-2620	371	18	m.	m.	NOUN
ejpam-2620	371	19	feinsod	feinsod	NOUN
ejpam-2620	371	20	.	.	PUNCT
ejpam-2620	372	1	a	a	DET
ejpam-2620	372	2	comparison	comparison	NOUN
ejpam-2620	372	3	of	of	ADP
ejpam-2620	372	4	neural	neural	ADJ
ejpam-2620	372	5	network	network	NOUN
ejpam-2620	372	6	and	and	CCONJ
ejpam-2620	372	7	bayes	bayes	PROPN
ejpam-2620	372	8	recognition	recognition	NOUN
ejpam-2620	372	9	approaches	approach	VERB
ejpam-2620	372	10	in	in	ADP
ejpam-2620	372	11	the	the	DET
ejpam-2620	372	12	evaluation	evaluation	NOUN
ejpam-2620	372	13	of	of	ADP
ejpam-2620	372	14	the	the	DET
ejpam-2620	372	15	brainstem	brainstem	NOUN
ejpam-2620	372	16	trigeminal	trigeminal	NOUN
ejpam-2620	372	17	evoked	evoke	VERB
ejpam-2620	372	18	potentials	potential	NOUN
ejpam-2620	372	19	in	in	ADP
ejpam-2620	372	20	multiple	multiple	ADJ
ejpam-2620	372	21	sclerosis	sclerosis	NOUN
ejpam-2620	372	22	.	.	PUNCT
ejpam-2620	373	1	international	international	ADJ
ejpam-2620	373	2	journal	journal	PROPN
ejpam-2620	373	3	of	of	ADP
ejpam-2620	373	4	bio	bio	PROPN
ejpam-2620	373	5	-	-	ADJ
ejpam-2620	373	6	medical	medical	ADJ
ejpam-2620	373	7	computing	computing	NOUN
ejpam-2620	373	8	,	,	PUNCT
ejpam-2620	373	9	43(3):203–213	43(3):203–213	PROPN
ejpam-2620	373	10	,	,	PUNCT
ejpam-2620	373	11	dec	dec	PROPN
ejpam-2620	373	12	1996	1996	NUM
ejpam-2620	373	13	.	.	PUNCT
ejpam-2620	374	1	[	[	X
ejpam-2620	374	2	15	15	NUM
ejpam-2620	374	3	]	]	X
ejpam-2620	374	4	b.	b.	PROPN
ejpam-2620	374	5	hamers	hamers	PROPN
ejpam-2620	374	6	.	.	PUNCT
ejpam-2620	375	1	kernel	kernel	PROPN
ejpam-2620	375	2	models	model	NOUN
ejpam-2620	375	3	for	for	ADP
ejpam-2620	375	4	large	large	ADJ
ejpam-2620	375	5	scale	scale	NOUN
ejpam-2620	375	6	applications	application	NOUN
ejpam-2620	375	7	.	.	PUNCT
ejpam-2620	376	1	phd	phd	NOUN
ejpam-2620	376	2	thesis	thesis	PROPN
ejpam-2620	376	3	,	,	PUNCT
ejpam-2620	376	4	katholieke	katholieke	PROPN
ejpam-2620	376	5	universiteit	universiteit	PROPN
ejpam-2620	376	6	leuven	leuven	PROPN
ejpam-2620	376	7	,	,	PUNCT
ejpam-2620	376	8	2004	2004	NUM
ejpam-2620	376	9	.	.	PUNCT
ejpam-2620	377	1	[	[	X
ejpam-2620	377	2	16	16	NUM
ejpam-2620	377	3	]	]	X
ejpam-2620	377	4	c.h	c.h	PROPN
ejpam-2620	377	5	.	.	PUNCT
ejpam-2620	377	6	hawkes	hawkes	PROPN
ejpam-2620	377	7	and	and	CCONJ
ejpam-2620	377	8	g.	g.	PROPN
ejpam-2620	377	9	giovannoni	giovannoni	PROPN
ejpam-2620	377	10	.	.	PUNCT
ejpam-2620	378	1	the	the	DET
ejpam-2620	378	2	mcdonald	mcdonald	PROPN
ejpam-2620	378	3	criteria	criterion	NOUN
ejpam-2620	378	4	for	for	ADP
ejpam-2620	378	5	multiple	multiple	ADJ
ejpam-2620	378	6	sclerosis	sclerosis	NOUN
ejpam-2620	378	7	:	:	PUNCT
ejpam-2620	378	8	time	time	NOUN
ejpam-2620	378	9	for	for	ADP
ejpam-2620	378	10	clarification	clarification	NOUN
ejpam-2620	378	11	.	.	PUNCT
ejpam-2620	379	1	multiple	multiple	ADJ
ejpam-2620	379	2	sclerosis	sclerosis	NOUN
ejpam-2620	379	3	journal	journal	NOUN
ejpam-2620	379	4	,	,	PUNCT
ejpam-2620	379	5	16(5):566–575	16(5):566–575	PROPN
ejpam-2620	379	6	,	,	PUNCT
ejpam-2620	379	7	mar	mar	PROPN
ejpam-2620	379	8	2010	2010	NUM
ejpam-2620	379	9	.	.	PUNCT
ejpam-2620	380	1	[	[	X
ejpam-2620	380	2	17	17	NUM
ejpam-2620	380	3	]	]	X
ejpam-2620	380	4	c.	c.	PROPN
ejpam-2620	380	5	hirst	hirst	PROPN
ejpam-2620	380	6	,	,	PUNCT
ejpam-2620	380	7	g.	g.	PROPN
ejpam-2620	380	8	ingram	ingram	PROPN
ejpam-2620	380	9	,	,	PUNCT
ejpam-2620	380	10	r.	r.	PROPN
ejpam-2620	380	11	swingler	swingler	PROPN
ejpam-2620	380	12	,	,	PUNCT
ejpam-2620	380	13	d.a.s	d.a.s	PROPN
ejpam-2620	380	14	.	.	PROPN
ejpam-2620	380	15	compston	compston	PROPN
ejpam-2620	380	16	,	,	PUNCT
ejpam-2620	380	17	t.	t.	NOUN
ejpam-2620	380	18	pickersgill	pickersgill	NOUN
ejpam-2620	380	19	,	,	PUNCT
ejpam-2620	380	20	and	and	CCONJ
ejpam-2620	380	21	n.p	n.p	PROPN
ejpam-2620	380	22	.	.	PROPN
ejpam-2620	380	23	robertson	robertson	PROPN
ejpam-2620	380	24	.	.	PUNCT
ejpam-2620	381	1	change	change	NOUN
ejpam-2620	381	2	in	in	ADP
ejpam-2620	381	3	disability	disability	NOUN
ejpam-2620	381	4	in	in	ADP
ejpam-2620	381	5	patients	patient	NOUN
ejpam-2620	381	6	with	with	ADP
ejpam-2620	381	7	multiple	multiple	ADJ
ejpam-2620	381	8	sclerosis	sclerosis	NOUN
ejpam-2620	381	9	:	:	PUNCT
ejpam-2620	381	10	a	a	DET
ejpam-2620	381	11	20	20	NUM
ejpam-2620	381	12	-	-	PUNCT
ejpam-2620	381	13	year	year	NOUN
ejpam-2620	381	14	prospective	prospective	ADJ
ejpam-2620	381	15	populationbased	populationbase	VERB
ejpam-2620	381	16	analysis	analysis	NOUN
ejpam-2620	381	17	.	.	PUNCT
ejpam-2620	382	1	journal	journal	PROPN
ejpam-2620	382	2	of	of	ADP
ejpam-2620	382	3	neurology	neurology	NOUN
ejpam-2620	382	4	,	,	PUNCT
ejpam-2620	382	5	neurosurgery	neurosurgery	NOUN
ejpam-2620	382	6	&	&	CCONJ
ejpam-2620	382	7	psychiatry	psychiatry	PROPN
ejpam-2620	382	8	,	,	PUNCT
ejpam-2620	382	9	79(10):1137–1143	79(10):1137–1143	PROPN
ejpam-2620	382	10	,	,	PUNCT
ejpam-2620	382	11	oct	oct	PROPN
ejpam-2620	382	12	2008	2008	NUM
ejpam-2620	382	13	.	.	PUNCT
ejpam-2620	383	1	[	[	X
ejpam-2620	383	2	18	18	NUM
ejpam-2620	383	3	]	]	PUNCT
ejpam-2620	383	4	t.	t.	PROPN
ejpam-2620	383	5	hofmann	hofmann	PROPN
ejpam-2620	383	6	,	,	PUNCT
ejpam-2620	383	7	b.	b.	PROPN
ejpam-2620	383	8	schölkopf	schölkopf	PROPN
ejpam-2620	383	9	,	,	PUNCT
ejpam-2620	383	10	and	and	CCONJ
ejpam-2620	383	11	a.j	a.j	PROPN
ejpam-2620	383	12	.	.	PROPN
ejpam-2620	383	13	smola	smola	PROPN
ejpam-2620	383	14	.	.	PUNCT
ejpam-2620	383	15	kernel	kernel	PROPN
ejpam-2620	383	16	methods	method	NOUN
ejpam-2620	383	17	in	in	ADP
ejpam-2620	383	18	machine	machine	NOUN
ejpam-2620	383	19	learning	learning	NOUN
ejpam-2620	383	20	.	.	PUNCT
ejpam-2620	384	1	the	the	DET
ejpam-2620	384	2	annals	annal	NOUN
ejpam-2620	384	3	of	of	ADP
ejpam-2620	384	4	statistics	statistic	NOUN
ejpam-2620	384	5	,	,	PUNCT
ejpam-2620	384	6	36(3):1171–1220	36(3):1171–1220	NUM
ejpam-2620	384	7	,	,	PUNCT
ejpam-2620	384	8	2008	2008	NUM
ejpam-2620	384	9	.	.	PUNCT
ejpam-2620	385	1	[	[	X
ejpam-2620	385	2	19	19	NUM
ejpam-2620	385	3	]	]	PUNCT
ejpam-2620	385	4	t.	t.	PROPN
ejpam-2620	385	5	howley	howley	PROPN
ejpam-2620	385	6	and	and	CCONJ
ejpam-2620	385	7	m.g	m.g	PROPN
ejpam-2620	385	8	.	.	PROPN
ejpam-2620	385	9	madden	madden	PROPN
ejpam-2620	385	10	.	.	PUNCT
ejpam-2620	386	1	the	the	DET
ejpam-2620	386	2	genetic	genetic	ADJ
ejpam-2620	386	3	kernel	kernel	NOUN
ejpam-2620	386	4	support	support	NOUN
ejpam-2620	386	5	vector	vector	NOUN
ejpam-2620	386	6	machine	machine	NOUN
ejpam-2620	386	7	:	:	PUNCT
ejpam-2620	386	8	description	description	NOUN
ejpam-2620	386	9	and	and	CCONJ
ejpam-2620	386	10	evaluation	evaluation	NOUN
ejpam-2620	386	11	.	.	PUNCT
ejpam-2620	387	1	artificial	artificial	ADJ
ejpam-2620	387	2	intelligence	intelligence	NOUN
ejpam-2620	387	3	review	review	NOUN
ejpam-2620	387	4	,	,	PUNCT
ejpam-2620	387	5	24(3	24(3	NOUN
ejpam-2620	387	6	-	-	NOUN
ejpam-2620	387	7	4):379–395	4):379–395	NOUN
ejpam-2620	387	8	,	,	PUNCT
ejpam-2620	387	9	2005	2005	NUM
ejpam-2620	387	10	.	.	PUNCT
ejpam-2620	388	1	[	[	X
ejpam-2620	388	2	20	20	NUM
ejpam-2620	388	3	]	]	SYM
ejpam-2620	388	4	c	c	X
ejpam-2620	388	5	-	-	PUNCT
ejpam-2620	388	6	w	w	NOUN
ejpam-2620	388	7	hsu	hsu	PROPN
ejpam-2620	388	8	and	and	CCONJ
ejpam-2620	388	9	c	c	PROPN
ejpam-2620	388	10	-	-	PROPN
ejpam-2620	388	11	j	j	PROPN
ejpam-2620	388	12	lin	lin	PROPN
ejpam-2620	388	13	.	.	PUNCT
ejpam-2620	389	1	a	a	DET
ejpam-2620	389	2	comparison	comparison	NOUN
ejpam-2620	389	3	of	of	ADP
ejpam-2620	389	4	methods	method	NOUN
ejpam-2620	389	5	for	for	ADP
ejpam-2620	389	6	multiclass	multiclass	ADJ
ejpam-2620	389	7	support	support	NOUN
ejpam-2620	389	8	vector	vector	NOUN
ejpam-2620	389	9	machines	machine	NOUN
ejpam-2620	389	10	.	.	PUNCT
ejpam-2620	390	1	ieee	ieee	NOUN
ejpam-2620	390	2	transactions	transaction	NOUN
ejpam-2620	390	3	on	on	ADP
ejpam-2620	390	4	neural	neural	ADJ
ejpam-2620	390	5	networks	network	NOUN
ejpam-2620	390	6	,	,	PUNCT
ejpam-2620	390	7	13(2):415–425	13(2):415–425	PROPN
ejpam-2620	390	8	,	,	PUNCT
ejpam-2620	390	9	mar	mar	PROPN
ejpam-2620	390	10	2002	2002	NUM
ejpam-2620	390	11	.	.	PUNCT
ejpam-2620	391	1	[	[	X
ejpam-2620	391	2	21	21	NUM
ejpam-2620	391	3	]	]	X
ejpam-2620	391	4	r.	r.	PROPN
ejpam-2620	391	5	karabudak	karabudak	PROPN
ejpam-2620	391	6	.	.	PUNCT
ejpam-2620	392	1	ms	ms	PROPN
ejpam-2620	392	2	ile	ile	PROPN
ejpam-2620	392	3	yaşamak	yaşamak	PROPN
ejpam-2620	392	4	.	.	PUNCT
ejpam-2620	393	1	aşina	aşina	PROPN
ejpam-2620	393	2	kitaplar	kitaplar	PROPN
ejpam-2620	393	3	,	,	PUNCT
ejpam-2620	393	4	turkey	turkey	PROPN
ejpam-2620	393	5	,	,	PUNCT
ejpam-2620	393	6	2006	2006	NUM
ejpam-2620	393	7	.	.	PUNCT
ejpam-2620	394	1	[	[	X
ejpam-2620	394	2	22	22	NUM
ejpam-2620	394	3	]	]	X
ejpam-2620	394	4	r.	r.	PROPN
ejpam-2620	394	5	karabudak	karabudak	PROPN
ejpam-2620	394	6	,	,	PUNCT
ejpam-2620	394	7	s.	s.	PROPN
ejpam-2620	394	8	aksel	aksel	PROPN
ejpam-2620	394	9	,	,	PUNCT
ejpam-2620	394	10	a.	a.	PROPN
ejpam-2620	394	11	altınbaş	altınbaş	PROPN
ejpam-2620	394	12	,	,	PUNCT
ejpam-2620	394	13	and	and	CCONJ
ejpam-2620	394	14	d.y	d.y	PROPN
ejpam-2620	394	15	.	.	PUNCT
ejpam-2620	395	1	kuşçu	kuşçu	PROPN
ejpam-2620	395	2	.	.	PUNCT
ejpam-2620	396	1	olgularla	olgularla	PROPN
ejpam-2620	396	2	multiple	multiple	ADJ
ejpam-2620	396	3	skleroz	skleroz	ADJ
ejpam-2620	396	4	.	.	PUNCT
ejpam-2620	397	1	bilimsel	bilimsel	NOUN
ejpam-2620	397	2	tıp	tıp	NOUN
ejpam-2620	397	3	yayınevi	yayınevi	NOUN
ejpam-2620	397	4	,	,	PUNCT
ejpam-2620	397	5	ankara	ankara	PROPN
ejpam-2620	397	6	,	,	PUNCT
ejpam-2620	397	7	turkey	turkey	PROPN
ejpam-2620	397	8	,	,	PUNCT
ejpam-2620	397	9	2011	2011	NUM
ejpam-2620	397	10	.	.	PUNCT
ejpam-2620	398	1	references	reference	NOUN
ejpam-2620	398	2	214	214	NUM
ejpam-2620	398	3	[	[	X
ejpam-2620	398	4	23	23	NUM
ejpam-2620	398	5	]	]	X
ejpam-2620	398	6	y.	y.	PROPN
ejpam-2620	398	7	karaca	karaca	PROPN
ejpam-2620	398	8	.	.	PUNCT
ejpam-2620	399	1	constituting	constitute	VERB
ejpam-2620	399	2	an	an	DET
ejpam-2620	399	3	optimum	optimum	ADJ
ejpam-2620	399	4	mathematical	mathematical	ADJ
ejpam-2620	399	5	model	model	NOUN
ejpam-2620	399	6	for	for	ADP
ejpam-2620	399	7	the	the	DET
ejpam-2620	399	8	diagnosis	diagnosis	NOUN
ejpam-2620	399	9	of	of	ADP
ejpam-2620	399	10	multiple	multiple	ADJ
ejpam-2620	399	11	sclerosis	sclerosis	NOUN
ejpam-2620	399	12	.	.	PUNCT
ejpam-2620	400	1	phd	phd	NOUN
ejpam-2620	400	2	thesis	thesis	PROPN
ejpam-2620	400	3	,	,	PUNCT
ejpam-2620	400	4	marmara	marmara	PROPN
ejpam-2620	400	5	university	university	PROPN
ejpam-2620	400	6	,	,	PUNCT
ejpam-2620	400	7	2012	2012	NUM
ejpam-2620	400	8	.	.	PUNCT
ejpam-2620	401	1	[	[	X
ejpam-2620	401	2	24	24	NUM
ejpam-2620	401	3	]	]	X
ejpam-2620	401	4	y.	y.	PROPN
ejpam-2620	401	5	karaca	karaca	PROPN
ejpam-2620	401	6	and	and	CCONJ
ejpam-2620	401	7	ş.	ş.	PROPN
ejpam-2620	401	8	hayta	hayta	ADJ
ejpam-2620	401	9	.	.	PUNCT
ejpam-2620	402	1	the	the	DET
ejpam-2620	402	2	significance	significance	NOUN
ejpam-2620	402	3	of	of	ADP
ejpam-2620	402	4	artificial	artificial	ADJ
ejpam-2620	402	5	neural	neural	ADJ
ejpam-2620	402	6	networks	network	NOUN
ejpam-2620	402	7	algorithms	algorithm	VERB
ejpam-2620	402	8	classification	classification	NOUN
ejpam-2620	402	9	in	in	ADP
ejpam-2620	402	10	the	the	DET
ejpam-2620	402	11	multiple	multiple	ADJ
ejpam-2620	402	12	sclerosis	sclerosis	NOUN
ejpam-2620	402	13	and	and	CCONJ
ejpam-2620	402	14	its	its	PRON
ejpam-2620	402	15	subgroups	subgroup	NOUN
ejpam-2620	402	16	.	.	PUNCT
ejpam-2620	403	1	international	international	ADJ
ejpam-2620	403	2	advanced	advanced	ADJ
ejpam-2620	403	3	research	research	NOUN
ejpam-2620	403	4	journal	journal	NOUN
ejpam-2620	403	5	in	in	ADP
ejpam-2620	403	6	science	science	NOUN
ejpam-2620	403	7	,	,	PUNCT
ejpam-2620	403	8	engineering	engineering	NOUN
ejpam-2620	403	9	and	and	CCONJ
ejpam-2620	403	10	technology	technology	NOUN
ejpam-2620	403	11	(	(	PUNCT
ejpam-2620	403	12	iarjset	iarjset	NOUN
ejpam-2620	403	13	)	)	PUNCT
ejpam-2620	403	14	,	,	PUNCT
ejpam-2620	403	15	2(12):1–7	2(12):1–7	PRON
ejpam-2620	403	16	,	,	PUNCT
ejpam-2620	403	17	dec	dec	PROPN
ejpam-2620	403	18	2015	2015	NUM
ejpam-2620	403	19	.	.	PUNCT
ejpam-2620	404	1	[	[	X
ejpam-2620	404	2	25	25	NUM
ejpam-2620	404	3	]	]	X
ejpam-2620	404	4	y.	y.	PROPN
ejpam-2620	404	5	karaca	karaca	PROPN
ejpam-2620	404	6	,	,	PUNCT
ejpam-2620	404	7	ş.	ş.	PROPN
ejpam-2620	404	8	hayta	hayta	ADJ
ejpam-2620	404	9	,	,	PUNCT
ejpam-2620	404	10	and	and	CCONJ
ejpam-2620	404	11	r.	r.	PROPN
ejpam-2620	404	12	karabudak	karabudak	PROPN
ejpam-2620	404	13	.	.	PUNCT
ejpam-2620	405	1	the	the	DET
ejpam-2620	405	2	application	application	NOUN
ejpam-2620	405	3	of	of	ADP
ejpam-2620	405	4	support	support	NOUN
ejpam-2620	405	5	vector	vector	NOUN
ejpam-2620	405	6	machines	machine	NOUN
ejpam-2620	405	7	for	for	ADP
ejpam-2620	405	8	the	the	DET
ejpam-2620	405	9	classification	classification	NOUN
ejpam-2620	405	10	of	of	ADP
ejpam-2620	405	11	multiple	multiple	ADJ
ejpam-2620	405	12	sclerosis	sclerosis	NOUN
ejpam-2620	405	13	subgroups	subgroup	NOUN
ejpam-2620	405	14	.	.	PUNCT
ejpam-2620	406	1	in	in	ADP
ejpam-2620	406	2	the	the	DET
ejpam-2620	406	3	international	international	ADJ
ejpam-2620	406	4	conference	conference	NOUN
ejpam-2620	406	5	mathematical	mathematical	ADJ
ejpam-2620	406	6	and	and	CCONJ
ejpam-2620	406	7	computational	computational	ADJ
ejpam-2620	406	8	modelling	modelling	NOUN
ejpam-2620	406	9	in	in	ADP
ejpam-2620	406	10	science	science	NOUN
ejpam-2620	406	11	and	and	CCONJ
ejpam-2620	406	12	technology	technology	NOUN
ejpam-2620	406	13	,	,	PUNCT
ejpam-2620	406	14	abstract	abstract	ADJ
ejpam-2620	406	15	book	book	NOUN
ejpam-2620	406	16	,	,	PUNCT
ejpam-2620	406	17	page	page	NOUN
ejpam-2620	406	18	95	95	NUM
ejpam-2620	406	19	,	,	PUNCT
ejpam-2620	406	20	izmir	izmir	PROPN
ejpam-2620	406	21	university	university	PROPN
ejpam-2620	406	22	,	,	PUNCT
ejpam-2620	406	23	izmir	izmir	NOUN
ejpam-2620	406	24	,	,	PUNCT
ejpam-2620	406	25	2015	2015	NUM
ejpam-2620	406	26	.	.	PUNCT
ejpam-2620	407	1	[	[	X
ejpam-2620	407	2	26	26	NUM
ejpam-2620	407	3	]	]	X
ejpam-2620	407	4	y.	y.	PROPN
ejpam-2620	407	5	karaca	karaca	PROPN
ejpam-2620	407	6	,	,	PUNCT
ejpam-2620	407	7	o.	o.	PROPN
ejpam-2620	407	8	osman	osman	PROPN
ejpam-2620	407	9	,	,	PUNCT
ejpam-2620	407	10	and	and	CCONJ
ejpam-2620	407	11	r.	r.	PROPN
ejpam-2620	407	12	karabudak	karabudak	PROPN
ejpam-2620	407	13	.	.	PUNCT
ejpam-2620	408	1	linear	linear	ADJ
ejpam-2620	408	2	modeling	modeling	NOUN
ejpam-2620	408	3	of	of	ADP
ejpam-2620	408	4	multiple	multiple	ADJ
ejpam-2620	408	5	sclerosis	sclerosis	NOUN
ejpam-2620	408	6	and	and	CCONJ
ejpam-2620	408	7	its	its	PRON
ejpam-2620	408	8	subgroubs	subgroub	NOUN
ejpam-2620	408	9	.	.	PUNCT
ejpam-2620	409	1	journal	journal	NOUN
ejpam-2620	409	2	of	of	ADP
ejpam-2620	409	3	clinical	clinical	ADJ
ejpam-2620	409	4	research	research	NOUN
ejpam-2620	409	5	of	of	ADP
ejpam-2620	409	6	pediatric	pediatric	ADJ
ejpam-2620	409	7	endocrinology	endocrinology	NOUN
ejpam-2620	409	8	,	,	PUNCT
ejpam-2620	409	9	21(1):7–12	21(1):7–12	NUM
ejpam-2620	409	10	,	,	PUNCT
ejpam-2620	409	11	mar	mar	PROPN
ejpam-2620	409	12	2015	2015	NUM
ejpam-2620	409	13	.	.	PUNCT
ejpam-2620	410	1	[	[	X
ejpam-2620	410	2	27	27	NUM
ejpam-2620	410	3	]	]	X
ejpam-2620	410	4	y.	y.	PROPN
ejpam-2620	410	5	karaca	karaca	PROPN
ejpam-2620	410	6	and	and	CCONJ
ejpam-2620	410	7	g.	g.	PROPN
ejpam-2620	410	8	sayıcı	sayıcı	PROPN
ejpam-2620	410	9	.	.	PUNCT
ejpam-2620	411	1	bayesian	bayesian	NOUN
ejpam-2620	411	2	networks	network	NOUN
ejpam-2620	411	3	for	for	ADP
ejpam-2620	411	4	subgroups	subgroup	NOUN
ejpam-2620	411	5	of	of	ADP
ejpam-2620	411	6	multiple	multiple	ADJ
ejpam-2620	411	7	sclerosis	sclerosis	NOUN
ejpam-2620	411	8	.	.	PUNCT
ejpam-2620	412	1	international	international	ADJ
ejpam-2620	412	2	journal	journal	PROPN
ejpam-2620	412	3	of	of	ADP
ejpam-2620	412	4	electronics	electronic	NOUN
ejpam-2620	412	5	,	,	PUNCT
ejpam-2620	412	6	mechanical	mechanical	ADJ
ejpam-2620	412	7	and	and	CCONJ
ejpam-2620	412	8	mechatronics	mechatronic	NOUN
ejpam-2620	412	9	engineering	engineering	NOUN
ejpam-2620	412	10	(	(	PUNCT
ejpam-2620	412	11	ijemme	ijemme	PROPN
ejpam-2620	412	12	)	)	PUNCT
ejpam-2620	412	13	,	,	PUNCT
ejpam-2620	412	14	3(1):455–462	3(1):455–462	NUM
ejpam-2620	412	15	,	,	PUNCT
ejpam-2620	412	16	2013	2013	NUM
ejpam-2620	412	17	.	.	PUNCT
ejpam-2620	413	1	[	[	X
ejpam-2620	413	2	28	28	NUM
ejpam-2620	413	3	]	]	X
ejpam-2620	413	4	y.	y.	PROPN
ejpam-2620	413	5	karaca	karaca	PROPN
ejpam-2620	413	6	,	,	PUNCT
ejpam-2620	413	7	g.	g.	PROPN
ejpam-2620	413	8	sayıcı	sayıcı	PROPN
ejpam-2620	413	9	,	,	PUNCT
ejpam-2620	413	10	and	and	CCONJ
ejpam-2620	413	11	r.	r.	PROPN
ejpam-2620	413	12	karabudak	karabudak	PROPN
ejpam-2620	413	13	.	.	PUNCT
ejpam-2620	414	1	application	application	NOUN
ejpam-2620	414	2	of	of	ADP
ejpam-2620	414	3	decision	decision	NOUN
ejpam-2620	414	4	tree	tree	NOUN
ejpam-2620	414	5	for	for	ADP
ejpam-2620	414	6	classification	classification	NOUN
ejpam-2620	414	7	of	of	ADP
ejpam-2620	414	8	multiple	multiple	ADJ
ejpam-2620	414	9	sclerosis	sclerosis	NOUN
ejpam-2620	414	10	diagnosis	diagnosis	NOUN
ejpam-2620	414	11	,	,	PUNCT
ejpam-2620	414	12	expanded	expand	VERB
ejpam-2620	414	13	disability	disability	NOUN
ejpam-2620	414	14	status	status	NOUN
ejpam-2620	414	15	scale	scale	NOUN
ejpam-2620	414	16	and	and	CCONJ
ejpam-2620	414	17	lesion	lesion	NOUN
ejpam-2620	414	18	numbers	number	NOUN
ejpam-2620	414	19	.	.	PUNCT
ejpam-2620	415	1	in	in	ADP
ejpam-2620	415	2	7th	7th	ADJ
ejpam-2620	415	3	international	international	ADJ
ejpam-2620	415	4	image	image	NOUN
ejpam-2620	415	5	processing	processing	NOUN
ejpam-2620	415	6	&	&	CCONJ
ejpam-2620	415	7	wavelet	wavelet	NOUN
ejpam-2620	415	8	on	on	ADP
ejpam-2620	415	9	real	real	ADJ
ejpam-2620	415	10	world	world	NOUN
ejpam-2620	415	11	applications	application	NOUN
ejpam-2620	415	12	conference	conference	NOUN
ejpam-2620	415	13	(	(	PUNCT
ejpam-2620	415	14	iww2013	iww2013	NOUN
ejpam-2620	415	15	)	)	PUNCT
ejpam-2620	415	16	,	,	PUNCT
ejpam-2620	415	17	pages	page	NOUN
ejpam-2620	415	18	115–129	115–129	NUM
ejpam-2620	415	19	,	,	PUNCT
ejpam-2620	415	20	valencia	valencia	PROPN
ejpam-2620	415	21	,	,	PUNCT
ejpam-2620	415	22	2013	2013	NUM
ejpam-2620	415	23	.	.	PUNCT
ejpam-2620	416	1	[	[	X
ejpam-2620	416	2	29	29	NUM
ejpam-2620	416	3	]	]	X
ejpam-2620	416	4	c.a	c.a	PROPN
ejpam-2620	416	5	.	.	PROPN
ejpam-2620	416	6	micchelli	micchelli	PROPN
ejpam-2620	416	7	.	.	PUNCT
ejpam-2620	417	1	interpolation	interpolation	NOUN
ejpam-2620	417	2	of	of	ADP
ejpam-2620	417	3	scattered	scatter	VERB
ejpam-2620	417	4	data	datum	NOUN
ejpam-2620	417	5	:	:	PUNCT
ejpam-2620	417	6	distance	distance	NOUN
ejpam-2620	417	7	matrices	matrix	NOUN
ejpam-2620	417	8	and	and	CCONJ
ejpam-2620	417	9	conditionally	conditionally	ADV
ejpam-2620	417	10	positive	positive	ADJ
ejpam-2620	417	11	definite	definite	ADJ
ejpam-2620	417	12	functions	function	NOUN
ejpam-2620	417	13	.	.	PUNCT
ejpam-2620	418	1	constructive	constructive	ADJ
ejpam-2620	418	2	approximation	approximation	NOUN
ejpam-2620	418	3	,	,	PUNCT
ejpam-2620	418	4	2(1):11–22	2(1):11–22	NUM
ejpam-2620	418	5	,	,	PUNCT
ejpam-2620	418	6	1986	1986	NUM
ejpam-2620	418	7	.	.	PUNCT
ejpam-2620	419	1	[	[	X
ejpam-2620	419	2	30	30	NUM
ejpam-2620	419	3	]	]	X
ejpam-2620	419	4	j.	j.	PROPN
ejpam-2620	419	5	novakovic	novakovic	PROPN
ejpam-2620	419	6	and	and	CCONJ
ejpam-2620	419	7	a.	a.	NOUN
ejpam-2620	419	8	veljovic	veljovic	PROPN
ejpam-2620	419	9	.	.	PUNCT
ejpam-2620	420	1	c	c	X
ejpam-2620	420	2	-	-	PUNCT
ejpam-2620	420	3	support	support	NOUN
ejpam-2620	420	4	vector	vector	NOUN
ejpam-2620	420	5	classification	classification	NOUN
ejpam-2620	420	6	:	:	PUNCT
ejpam-2620	420	7	selection	selection	NOUN
ejpam-2620	420	8	of	of	ADP
ejpam-2620	420	9	kernel	kernel	PROPN
ejpam-2620	420	10	and	and	CCONJ
ejpam-2620	420	11	parameters	parameter	NOUN
ejpam-2620	420	12	in	in	ADP
ejpam-2620	420	13	medical	medical	ADJ
ejpam-2620	420	14	diagnosis	diagnosis	NOUN
ejpam-2620	420	15	.	.	PUNCT
ejpam-2620	421	1	in	in	ADP
ejpam-2620	421	2	ieee	ieee	NOUN
ejpam-2620	421	3	9th	9th	ADJ
ejpam-2620	421	4	international	international	ADJ
ejpam-2620	421	5	symposium	symposium	NOUN
ejpam-2620	421	6	on	on	ADP
ejpam-2620	421	7	intelligent	intelligent	ADJ
ejpam-2620	421	8	systems	system	NOUN
ejpam-2620	421	9	and	and	CCONJ
ejpam-2620	421	10	informatics	informatic	NOUN
ejpam-2620	421	11	,	,	PUNCT
ejpam-2620	421	12	pages	page	NOUN
ejpam-2620	421	13	465–470	465–470	NUM
ejpam-2620	421	14	,	,	PUNCT
ejpam-2620	421	15	subotica	subotica	NOUN
ejpam-2620	421	16	,	,	PUNCT
ejpam-2620	421	17	serbia	serbia	PROPN
ejpam-2620	421	18	,	,	PUNCT
ejpam-2620	421	19	sep	sep	PROPN
ejpam-2620	421	20	2011	2011	NUM
ejpam-2620	421	21	.	.	PUNCT
ejpam-2620	422	1	ieee	ieee	NOUN
ejpam-2620	422	2	.	.	PUNCT
ejpam-2620	423	1	[	[	X
ejpam-2620	423	2	31	31	NUM
ejpam-2620	423	3	]	]	X
ejpam-2620	423	4	f.	f.	PROPN
ejpam-2620	423	5	parzlivand	parzlivand	PROPN
ejpam-2620	423	6	and	and	CCONJ
ejpam-2620	423	7	a.	a.	NOUN
ejpam-2620	423	8	shahrezaee	shahrezaee	PROPN
ejpam-2620	423	9	.	.	PUNCT
ejpam-2620	424	1	radial	radial	ADJ
ejpam-2620	424	2	basis	basis	NOUN
ejpam-2620	424	3	functions	function	NOUN
ejpam-2620	424	4	for	for	ADP
ejpam-2620	424	5	the	the	DET
ejpam-2620	424	6	solution	solution	NOUN
ejpam-2620	424	7	of	of	ADP
ejpam-2620	424	8	an	an	DET
ejpam-2620	424	9	inverse	inverse	NOUN
ejpam-2620	424	10	problem	problem	NOUN
ejpam-2620	424	11	of	of	ADP
ejpam-2620	424	12	mixed	mixed	ADJ
ejpam-2620	424	13	parabolic	parabolic	ADJ
ejpam-2620	424	14	-	-	PUNCT
ejpam-2620	424	15	hyperbolic	hyperbolic	ADJ
ejpam-2620	424	16	type	type	NOUN
ejpam-2620	424	17	.	.	PUNCT
ejpam-2620	425	1	european	european	ADJ
ejpam-2620	425	2	journal	journal	PROPN
ejpam-2620	425	3	of	of	ADP
ejpam-2620	425	4	pure	pure	ADJ
ejpam-2620	425	5	and	and	CCONJ
ejpam-2620	425	6	applied	applied	ADJ
ejpam-2620	425	7	mathematics	mathematic	NOUN
ejpam-2620	425	8	,	,	PUNCT
ejpam-2620	425	9	8(2):239–254	8(2):239–254	NUM
ejpam-2620	425	10	,	,	PUNCT
ejpam-2620	425	11	2015	2015	NUM
ejpam-2620	425	12	.	.	PUNCT
ejpam-2620	426	1	[	[	X
ejpam-2620	426	2	32	32	NUM
ejpam-2620	426	3	]	]	X
ejpam-2620	426	4	h.	h.	PROPN
ejpam-2620	426	5	sahbi	sahbi	PROPN
ejpam-2620	426	6	and	and	CCONJ
ejpam-2620	426	7	f.	f.	PROPN
ejpam-2620	426	8	fleuret	fleuret	PROPN
ejpam-2620	426	9	.	.	PUNCT
ejpam-2620	427	1	kernel	kernel	PROPN
ejpam-2620	427	2	methods	method	NOUN
ejpam-2620	427	3	and	and	CCONJ
ejpam-2620	427	4	scale	scale	NOUN
ejpam-2620	427	5	invariance	invariance	NOUN
ejpam-2620	427	6	using	use	VERB
ejpam-2620	427	7	the	the	DET
ejpam-2620	427	8	triangular	triangular	ADJ
ejpam-2620	427	9	kernel	kernel	NOUN
ejpam-2620	427	10	.	.	PUNCT
ejpam-2620	428	1	technical	technical	ADJ
ejpam-2620	428	2	report	report	PROPN
ejpam-2620	428	3	rr-5143	rr-5143	NOUN
ejpam-2620	428	4	,	,	PUNCT
ejpam-2620	428	5	french	french	PROPN
ejpam-2620	428	6	institute	institute	NOUN
ejpam-2620	428	7	for	for	ADP
ejpam-2620	428	8	research	research	NOUN
ejpam-2620	428	9	in	in	ADP
ejpam-2620	428	10	computer	computer	NOUN
ejpam-2620	428	11	science	science	NOUN
ejpam-2620	428	12	and	and	CCONJ
ejpam-2620	428	13	automation	automation	NOUN
ejpam-2620	428	14	,	,	PUNCT
ejpam-2620	428	15	2004	2004	NUM
ejpam-2620	428	16	.	.	PUNCT
ejpam-2620	429	1	[	[	X
ejpam-2620	429	2	33	33	NUM
ejpam-2620	429	3	]	]	PUNCT
ejpam-2620	429	4	m.	m.	NOUN
ejpam-2620	429	5	shahlaei	shahlaei	PROPN
ejpam-2620	429	6	,	,	PUNCT
ejpam-2620	429	7	a.	a.	NOUN
ejpam-2620	429	8	fassihi	fassihi	PROPN
ejpam-2620	429	9	,	,	PUNCT
ejpam-2620	429	10	and	and	CCONJ
ejpam-2620	429	11	l.	l.	PROPN
ejpam-2620	429	12	saghaie	saghaie	PROPN
ejpam-2620	429	13	.	.	PUNCT
ejpam-2620	430	1	application	application	NOUN
ejpam-2620	430	2	of	of	ADP
ejpam-2620	430	3	pc	pc	NOUN
ejpam-2620	430	4	-	-	NOUN
ejpam-2620	430	5	ann	ann	NOUN
ejpam-2620	430	6	and	and	CCONJ
ejpam-2620	430	7	pc	pc	NOUN
ejpam-2620	430	8	-	-	PUNCT
ejpam-2620	430	9	ls	ls	ADJ
ejpam-2620	430	10	-	-	PUNCT
ejpam-2620	430	11	svm	svm	NOUN
ejpam-2620	430	12	in	in	ADP
ejpam-2620	430	13	qsar	qsar	NOUN
ejpam-2620	430	14	of	of	ADP
ejpam-2620	430	15	ccr1	ccr1	PROPN
ejpam-2620	430	16	antagonist	antagonist	NOUN
ejpam-2620	430	17	compounds	compound	VERB
ejpam-2620	430	18	:	:	PUNCT
ejpam-2620	430	19	a	a	DET
ejpam-2620	430	20	comparative	comparative	ADJ
ejpam-2620	430	21	study	study	NOUN
ejpam-2620	430	22	.	.	PUNCT
ejpam-2620	431	1	european	european	PROPN
ejpam-2620	431	2	journal	journal	PROPN
ejpam-2620	431	3	of	of	ADP
ejpam-2620	431	4	medicinal	medicinal	ADJ
ejpam-2620	431	5	chemistry	chemistry	NOUN
ejpam-2620	431	6	,	,	PUNCT
ejpam-2620	431	7	45(4):1572–1582	45(4):1572–1582	NUM
ejpam-2620	431	8	,	,	PUNCT
ejpam-2620	431	9	apr	apr	NOUN
ejpam-2620	431	10	2010	2010	NUM
ejpam-2620	431	11	.	.	PUNCT
ejpam-2620	432	1	[	[	X
ejpam-2620	432	2	34	34	NUM
ejpam-2620	432	3	]	]	PUNCT
ejpam-2620	432	4	a.	a.	NOUN
ejpam-2620	432	5	vedaldi	vedaldi	PROPN
ejpam-2620	432	6	and	and	CCONJ
ejpam-2620	432	7	andrew	andrew	PROPN
ejpam-2620	432	8	a.	a.	PROPN
ejpam-2620	432	9	zisserman	zisserman	PROPN
ejpam-2620	432	10	.	.	PUNCT
ejpam-2620	433	1	efficient	efficient	ADJ
ejpam-2620	433	2	additive	additive	ADJ
ejpam-2620	433	3	kernels	kernel	NOUN
ejpam-2620	433	4	via	via	ADP
ejpam-2620	433	5	explicit	explicit	ADJ
ejpam-2620	433	6	feature	feature	NOUN
ejpam-2620	433	7	maps	map	NOUN
ejpam-2620	433	8	.	.	PUNCT
ejpam-2620	434	1	ieee	ieee	NOUN
ejpam-2620	434	2	transactions	transaction	NOUN
ejpam-2620	434	3	on	on	ADP
ejpam-2620	434	4	pattern	pattern	NOUN
ejpam-2620	434	5	analysis	analysis	NOUN
ejpam-2620	434	6	and	and	CCONJ
ejpam-2620	434	7	machine	machine	NOUN
ejpam-2620	434	8	intelligence	intelligence	NOUN
ejpam-2620	434	9	,	,	PUNCT
ejpam-2620	434	10	34(3):480–492	34(3):480–492	PROPN
ejpam-2620	434	11	,	,	PUNCT
ejpam-2620	434	12	2012	2012	NUM
ejpam-2620	434	13	.	.	PUNCT
ejpam-2620	435	1	[	[	X
ejpam-2620	435	2	35	35	NUM
ejpam-2620	435	3	]	]	PUNCT
ejpam-2620	435	4	l.	l.	PROPN
ejpam-2620	435	5	zhang	zhang	PROPN
ejpam-2620	435	6	,	,	PUNCT
ejpam-2620	435	7	w.	w.	PROPN
ejpam-2620	435	8	zhou	zhou	PROPN
ejpam-2620	435	9	,	,	PUNCT
ejpam-2620	435	10	and	and	CCONJ
ejpam-2620	435	11	l.	l.	PROPN
ejpam-2620	435	12	jiao	jiao	PROPN
ejpam-2620	435	13	.	.	PUNCT
ejpam-2620	435	14	wavelet	wavelet	PROPN
ejpam-2620	435	15	support	support	PROPN
ejpam-2620	435	16	vector	vector	NOUN
ejpam-2620	435	17	machine	machine	NOUN
ejpam-2620	435	18	.	.	PUNCT
ejpam-2620	436	1	ieee	ieee	NOUN
ejpam-2620	436	2	transactions	transaction	NOUN
ejpam-2620	436	3	on	on	ADP
ejpam-2620	436	4	systems	system	NOUN
ejpam-2620	436	5	,	,	PUNCT
ejpam-2620	436	6	man	man	NOUN
ejpam-2620	436	7	,	,	PUNCT
ejpam-2620	436	8	and	and	CCONJ
ejpam-2620	436	9	cybernetics	cybernetic	NOUN
ejpam-2620	436	10	,	,	PUNCT
ejpam-2620	436	11	part	part	NOUN
ejpam-2620	436	12	b	b	NOUN
ejpam-2620	436	13	:	:	PUNCT
ejpam-2620	436	14	cybernetics	cybernetic	NOUN
ejpam-2620	436	15	,	,	PUNCT
ejpam-2620	436	16	34(1):34–39	34(1):34–39	NUM
ejpam-2620	436	17	,	,	PUNCT
ejpam-2620	436	18	2004	2004	NUM
ejpam-2620	436	19	.	.	PUNCT
ejpam-2620	437	1	references	reference	NOUN
ejpam-2620	437	2	215	215	NUM
ejpam-2620	437	3	[	[	X
ejpam-2620	437	4	36	36	NUM
ejpam-2620	437	5	]	]	X
ejpam-2620	437	6	c.y	c.y	PROPN
ejpam-2620	437	7	.	.	PROPN
ejpam-2620	437	8	zhao	zhao	PROPN
ejpam-2620	437	9	,	,	PUNCT
ejpam-2620	437	10	r.s	r.s	PROPN
ejpam-2620	437	11	.	.	PROPN
ejpam-2620	437	12	zhang	zhang	PROPN
ejpam-2620	437	13	,	,	PUNCT
ejpam-2620	437	14	h.x	h.x	PROPN
ejpam-2620	437	15	.	.	PROPN
ejpam-2620	437	16	liu	liu	PROPN
ejpam-2620	437	17	,	,	PUNCT
ejpam-2620	437	18	c.x	c.x	PROPN
ejpam-2620	437	19	.	.	PROPN
ejpam-2620	437	20	xue	xue	PROPN
ejpam-2620	437	21	,	,	PUNCT
ejpam-2620	437	22	s.g	s.g	PROPN
ejpam-2620	437	23	.	.	PROPN
ejpam-2620	437	24	zhao	zhao	PROPN
ejpam-2620	437	25	,	,	PUNCT
ejpam-2620	437	26	x.f	x.f	PROPN
ejpam-2620	437	27	.	.	PROPN
ejpam-2620	437	28	zhou	zhou	PROPN
ejpam-2620	437	29	,	,	PUNCT
ejpam-2620	437	30	m.c	m.c	PROPN
ejpam-2620	437	31	.	.	PROPN
ejpam-2620	437	32	liu	liu	PROPN
ejpam-2620	437	33	,	,	PUNCT
ejpam-2620	437	34	and	and	CCONJ
ejpam-2620	437	35	b.t	b.t	PROPN
ejpam-2620	437	36	.	.	PROPN
ejpam-2620	437	37	fan	fan	PROPN
ejpam-2620	437	38	.	.	PUNCT
ejpam-2620	438	1	diagnosing	diagnose	VERB
ejpam-2620	438	2	anorexia	anorexia	NOUN
ejpam-2620	438	3	based	base	VERB
ejpam-2620	438	4	on	on	ADP
ejpam-2620	438	5	partial	partial	ADJ
ejpam-2620	438	6	least	least	ADJ
ejpam-2620	438	7	squares	square	NOUN
ejpam-2620	438	8	,	,	PUNCT
ejpam-2620	438	9	back	back	ADJ
ejpam-2620	438	10	propagation	propagation	NOUN
ejpam-2620	438	11	neural	neural	ADJ
ejpam-2620	438	12	network	network	NOUN
ejpam-2620	438	13	,	,	PUNCT
ejpam-2620	438	14	and	and	CCONJ
ejpam-2620	438	15	support	support	VERB
ejpam-2620	438	16	vector	vector	NOUN
ejpam-2620	438	17	machines	machine	NOUN
ejpam-2620	438	18	.	.	PUNCT
ejpam-2620	439	1	journal	journal	PROPN
ejpam-2620	439	2	of	of	ADP
ejpam-2620	439	3	chemical	chemical	ADJ
ejpam-2620	439	4	information	information	NOUN
ejpam-2620	439	5	and	and	CCONJ
ejpam-2620	439	6	modeling	modeling	NOUN
ejpam-2620	439	7	,	,	PUNCT
ejpam-2620	439	8	44(6):2040	44(6):2040	NUM
ejpam-2620	439	9	–	–	PUNCT
ejpam-2620	439	10	2046	2046	NUM
ejpam-2620	439	11	,	,	PUNCT
ejpam-2620	439	12	nov	nov	PROPN
ejpam-2620	439	13	2004	2004	NUM
ejpam-2620	439	14	.	.	PUNCT