id	sid	tid	token	lemma	pos
ejpam-602	1	1	a	a	DET
ejpam-602	1	2	self	self	NOUN
ejpam-602	1	3	-	-	PUNCT
ejpam-602	1	4	organizing	organize	VERB
ejpam-602	1	5	model	model	NOUN
ejpam-602	1	6	for	for	ADP
ejpam-602	1	7	logical	logical	ADJ
ejpam-602	1	8	programming	programming	NOUN
ejpam-602	1	9	european	european	PROPN
ejpam-602	1	10	journal	journal	PROPN
ejpam-602	1	11	of	of	ADP
ejpam-602	1	12	pure	pure	ADJ
ejpam-602	1	13	and	and	CCONJ
ejpam-602	1	14	applied	apply	VERB
ejpam-602	1	15	mathematics	mathematic	NOUN
ejpam-602	1	16	vol	vol	NOUN
ejpam-602	1	17	.	.	PUNCT
ejpam-602	2	1	3	3	NUM
ejpam-602	2	2	,	,	PUNCT
ejpam-602	2	3	no	no	INTJ
ejpam-602	2	4	.	.	NOUN
ejpam-602	2	5	2	2	NUM
ejpam-602	2	6	,	,	PUNCT
ejpam-602	2	7	2010	2010	NUM
ejpam-602	2	8	,	,	PUNCT
ejpam-602	2	9	163	163	NUM
ejpam-602	2	10	-	-	SYM
ejpam-602	2	11	173	173	NUM
ejpam-602	2	12	issn	issn	PROPN
ejpam-602	2	13	1307	1307	NUM
ejpam-602	2	14	-	-	SYM
ejpam-602	2	15	5543	5543	NUM
ejpam-602	2	16	–	–	PUNCT
ejpam-602	2	17	www.ejpam.com	www.ejpam.com	X
ejpam-602	2	18	email	email	NOUN
ejpam-602	2	19	address	address	NOUN
ejpam-602	2	20	:	:	PUNCT
ejpam-602	2	21	norman.j.morin@frb.gov	norman.j.morin@frb.gov	NOUN
ejpam-602	2	22	http://www.ejpam.com	http://www.ejpam.com	X
ejpam-602	2	23	163	163	NUM
ejpam-602	3	1	©	©	PROPN
ejpam-602	3	2	2010	2010	NUM
ejpam-602	3	3	ejpam	ejpam	VERB
ejpam-602	3	4	all	all	DET
ejpam-602	3	5	rights	right	NOUN
ejpam-602	3	6	reserved	reserve	VERB
ejpam-602	3	7	.	.	PUNCT
ejpam-602	4	1	a	a	DET
ejpam-602	4	2	self	self	NOUN
ejpam-602	4	3	-	-	PUNCT
ejpam-602	4	4	organizing	organize	VERB
ejpam-602	4	5	model	model	NOUN
ejpam-602	4	6	for	for	ADP
ejpam-602	4	7	logic	logic	NOUN
ejpam-602	4	8	regression	regression	NOUN
ejpam-602	4	9	jerry	jerry	PROPN
ejpam-602	4	10	farlow	farlow	PROPN
ejpam-602	4	11	department	department	PROPN
ejpam-602	4	12	of	of	ADP
ejpam-602	4	13	mathematics	mathematics	PROPN
ejpam-602	4	14	,	,	PUNCT
ejpam-602	4	15	university	university	PROPN
ejpam-602	4	16	of	of	ADP
ejpam-602	4	17	maine	maine	PROPN
ejpam-602	4	18	,	,	PUNCT
ejpam-602	4	19	orono	orono	PROPN
ejpam-602	4	20	,	,	PUNCT
ejpam-602	4	21	maine	maine	PROPN
ejpam-602	4	22	_	_	PUNCT
ejpam-602	5	1	_	_	PUNCT
ejpam-602	6	1	_	_	PUNCT
ejpam-602	7	1	_	_	PUNCT
ejpam-602	8	1	_	_	PUNCT
ejpam-602	9	1	_	_	PUNCT
ejpam-602	10	1	_	_	PUNCT
ejpam-602	11	1	_	_	PUNCT
ejpam-602	12	1	_	_	PUNCT
ejpam-602	13	1	_	_	PUNCT
ejpam-602	14	1	_	_	PUNCT
ejpam-602	15	1	_	_	PUNCT
ejpam-602	16	1	_	_	PUNCT
ejpam-602	17	1	_	_	PUNCT
ejpam-602	18	1	_	_	PUNCT
ejpam-602	19	1	_	_	PUNCT
ejpam-602	20	1	_	_	PUNCT
ejpam-602	21	1	_	_	PUNCT
ejpam-602	22	1	_	_	PUNCT
ejpam-602	23	1	_	_	PUNCT
ejpam-602	24	1	_	_	PUNCT
ejpam-602	25	1	_	_	PUNCT
ejpam-602	26	1	_	_	PUNCT
ejpam-602	27	1	_	_	PUNCT
ejpam-602	28	1	_	_	PUNCT
ejpam-602	29	1	_	_	PUNCT
ejpam-602	30	1	_	_	PUNCT
ejpam-602	31	1	_	_	PUNCT
ejpam-602	32	1	_	_	PUNCT
ejpam-602	33	1	_	_	PUNCT
ejpam-602	34	1	_	_	PUNCT
ejpam-602	35	1	_	_	PUNCT
ejpam-602	36	1	_	_	PUNCT
ejpam-602	37	1	_	_	PUNCT
ejpam-602	38	1	_	_	PUNCT
ejpam-602	39	1	_	_	PUNCT
ejpam-602	40	1	_	_	PUNCT
ejpam-602	41	1	_	_	PUNCT
ejpam-602	42	1	_	_	PUNCT
ejpam-602	43	1	_	_	PUNCT
ejpam-602	44	1	_	_	PUNCT
ejpam-602	45	1	_	_	PUNCT
ejpam-602	46	1	_	_	PUNCT
ejpam-602	47	1	_	_	PUNCT
ejpam-602	48	1	_	_	PUNCT
ejpam-602	49	1	_	_	PUNCT
ejpam-602	50	1	_	_	PUNCT
ejpam-602	51	1	_	_	PUNCT
ejpam-602	52	1	_	_	PUNCT
ejpam-602	53	1	_	_	PUNCT
ejpam-602	54	1	_	_	PUNCT
ejpam-602	55	1	_	_	PUNCT
ejpam-602	56	1	_	_	PUNCT
ejpam-602	57	1	_	_	PUNCT
ejpam-602	58	1	_	_	PUNCT
ejpam-602	59	1	_	_	PUNCT
ejpam-602	60	1	_	_	PUNCT
ejpam-602	61	1	_	_	PUNCT
ejpam-602	62	1	_	_	PUNCT
ejpam-602	63	1	_	_	PUNCT
ejpam-602	64	1	_	_	PUNCT
ejpam-602	65	1	_	_	PUNCT
ejpam-602	66	1	_	_	PUNCT
ejpam-602	67	1	_	_	PUNCT
ejpam-602	68	1	_	_	PUNCT
ejpam-602	69	1	_	_	PUNCT
ejpam-602	70	1	_	_	PUNCT
ejpam-602	71	1	_	_	PUNCT
ejpam-602	72	1	_	_	PUNCT
ejpam-602	73	1	_	_	PUNCT
ejpam-602	74	1	_	_	PUNCT
ejpam-602	75	1	_	_	PUNCT
ejpam-602	76	1	_	_	PUNCT
ejpam-602	77	1	_	_	PUNCT
ejpam-602	78	1	abstract	abstract	ADJ
ejpam-602	78	2	:	:	PUNCT
ejpam-602	78	3	logic	logic	NOUN
ejpam-602	78	4	regression	regression	NOUN
ejpam-602	78	5	,	,	PUNCT
ejpam-602	78	6	as	as	SCONJ
ejpam-602	78	7	developed	develop	VERB
ejpam-602	78	8	by	by	ADP
ejpam-602	78	9	ruczinski	ruczinski	PROPN
ejpam-602	78	10	,	,	PUNCT
ejpam-602	78	11	kooperberg	kooperberg	PROPN
ejpam-602	78	12	,	,	PUNCT
ejpam-602	78	13	and	and	CCONJ
ejpam-602	78	14	leblanc	leblanc	PROPN
ejpam-602	78	15	[	[	X
ejpam-602	78	16	1	1	NUM
ejpam-602	78	17	]	]	PUNCT
ejpam-602	78	18	,	,	PUNCT
ejpam-602	78	19	is	be	AUX
ejpam-602	78	20	a	a	DET
ejpam-602	78	21	multivariable	multivariable	ADJ
ejpam-602	78	22	regression	regression	NOUN
ejpam-602	78	23	methodology	methodology	NOUN
ejpam-602	78	24	that	that	PRON
ejpam-602	78	25	constructs	construct	VERB
ejpam-602	78	26	logical	logical	ADJ
ejpam-602	78	27	relationships	relationship	NOUN
ejpam-602	78	28	among	among	ADP
ejpam-602	78	29	boolean	boolean	ADJ
ejpam-602	78	30	predictor	predictor	NOUN
ejpam-602	78	31	variables	variable	NOUN
ejpam-602	78	32	that	that	PRON
ejpam-602	78	33	best	good	ADJ
ejpam-602	78	34	predicts	predict	VERB
ejpam-602	78	35	a	a	DET
ejpam-602	78	36	boolean	boolean	ADJ
ejpam-602	78	37	dependent	dependent	ADJ
ejpam-602	78	38	variable	variable	NOUN
ejpam-602	78	39	.	.	PUNCT
ejpam-602	79	1	more	more	ADV
ejpam-602	79	2	specifically	specifically	ADV
ejpam-602	79	3	,	,	PUNCT
ejpam-602	79	4	it	it	PRON
ejpam-602	79	5	finds	find	VERB
ejpam-602	79	6	a	a	DET
ejpam-602	79	7	regression	regression	NOUN
ejpam-602	79	8	model	model	NOUN
ejpam-602	79	9	of	of	ADP
ejpam-602	79	10	the	the	DET
ejpam-602	79	11	form	form	NOUN
ejpam-602	79	12	0	0	NUM
ejpam-602	79	13	1	1	NUM
ejpam-602	79	14	1	1	NUM
ejpam-602	79	15	2	2	NUM
ejpam-602	79	16	2	2	NUM
ejpam-602	79	17	[	[	PUNCT
ejpam-602	79	18	|	|	NOUN
ejpam-602	79	19	]	]	PUNCT
ejpam-602	79	20	m	m	VERB
ejpam-602	79	21	mg	mg	PROPN
ejpam-602	79	22	e	e	PROPN
ejpam-602	79	23	y	y	PROPN
ejpam-602	79	24	b	b	PROPN
ejpam-602	79	25	b	b	PROPN
ejpam-602	79	26	l	l	NOUN
ejpam-602	79	27	b	b	PROPN
ejpam-602	79	28	l	l	NOUN
ejpam-602	79	29	b	b	NOUN
ejpam-602	79	30	l=	l=	ADJ
ejpam-602	79	31	+	+	PUNCT
ejpam-602	80	1	+	+	PUNCT
ejpam-602	81	1	+	+	NOUN
ejpam-602	81	2			NOUN
ejpam-602	81	3	where	where	SCONJ
ejpam-602	81	4	both	both	PRON
ejpam-602	81	5	the	the	DET
ejpam-602	81	6	coefficients	coefficient	NOUN
ejpam-602	81	7	0	0	NUM
ejpam-602	81	8	1	1	NUM
ejpam-602	81	9	,	,	PUNCT
ejpam-602	81	10	,	,	PUNCT
ejpam-602	81	11	...	...	PUNCT
ejpam-602	81	12	,	,	PUNCT
ejpam-602	81	13	mb	mb	PROPN
ejpam-602	81	14	b	b	PROPN
ejpam-602	81	15	b	b	PROPN
ejpam-602	81	16	and	and	CCONJ
ejpam-602	81	17	the	the	DET
ejpam-602	81	18	logical	logical	ADJ
ejpam-602	81	19	expressions	expression	NOUN
ejpam-602	81	20	,	,	PUNCT
ejpam-602	81	21	1,	1,	NUM
ejpam-602	81	22	...	...	PUNCT
ejpam-602	81	23	,jl	,jl	PUNCT
ejpam-602	81	24	j	j	PROPN
ejpam-602	81	25	m=	m=	X
ejpam-602	81	26	are	be	AUX
ejpam-602	81	27	determined	determine	VERB
ejpam-602	81	28	,	,	PUNCT
ejpam-602	81	29	whereby	whereby	SCONJ
ejpam-602	81	30	a	a	DET
ejpam-602	81	31	logical	logical	ADJ
ejpam-602	81	32	expression	expression	NOUN
ejpam-602	81	33	one	one	PRON
ejpam-602	81	34	means	mean	VERB
ejpam-602	81	35	logical	logical	ADJ
ejpam-602	81	36	relationships	relationship	NOUN
ejpam-602	81	37	among	among	ADP
ejpam-602	81	38	the	the	DET
ejpam-602	81	39	predictor	predictor	NOUN
ejpam-602	81	40	variables	variable	NOUN
ejpam-602	81	41	,	,	PUNCT
ejpam-602	81	42	such	such	ADJ
ejpam-602	81	43	as	as	ADP
ejpam-602	81	44	1	1	NUM
ejpam-602	81	45	2	2	NUM
ejpam-602	81	46	"	"	PUNCT
ejpam-602	81	47	,	,	PUNCT
ejpam-602	81	48	x	x	PUNCT
ejpam-602	81	49	x	x	X
ejpam-602	81	50	are	be	AUX
ejpam-602	81	51	true	true	ADJ
ejpam-602	81	52	but	but	CCONJ
ejpam-602	81	53	not	not	PART
ejpam-602	81	54	5	5	NUM
ejpam-602	81	55	"	"	NOUN
ejpam-602	81	56	x	x	SYM
ejpam-602	81	57	,	,	PUNCT
ejpam-602	81	58	or	or	CCONJ
ejpam-602	81	59	3	3	NUM
ejpam-602	81	60	5	5	NUM
ejpam-602	81	61	7	7	NUM
ejpam-602	81	62	"	"	PUNCT
ejpam-602	81	63	,	,	PUNCT
ejpam-602	81	64	,	,	PUNCT
ejpam-602	81	65	x	x	PUNCT
ejpam-602	81	66	x	x	PUNCT
ejpam-602	81	67	x	x	X
ejpam-602	81	68	are	be	AUX
ejpam-602	81	69	true	true	ADJ
ejpam-602	81	70	but	but	CCONJ
ejpam-602	81	71	not	not	PART
ejpam-602	81	72	1x	1x	NUM
ejpam-602	81	73	or	or	CCONJ
ejpam-602	81	74	2	2	NUM
ejpam-602	82	1	"	"	PUNCT
ejpam-602	82	2	x	x	X
ejpam-602	82	3	in	in	ADP
ejpam-602	82	4	paper	paper	NOUN
ejpam-602	82	5	[	[	X
ejpam-602	82	6	1	1	X
ejpam-602	82	7	]	]	PUNCT
ejpam-602	82	8	the	the	DET
ejpam-602	82	9	authors	author	NOUN
ejpam-602	82	10	investigate	investigate	VERB
ejpam-602	82	11	the	the	DET
ejpam-602	82	12	use	use	NOUN
ejpam-602	82	13	a	a	DET
ejpam-602	82	14	simulated	simulated	ADJ
ejpam-602	82	15	annealing	anneal	VERB
ejpam-602	82	16	algorithm	algorithm	NOUN
ejpam-602	82	17	.	.	PUNCT
ejpam-602	83	1	in	in	ADP
ejpam-602	83	2	this	this	DET
ejpam-602	83	3	paper	paper	NOUN
ejpam-602	83	4	.	.	PUNCT
ejpam-602	84	1	the	the	DET
ejpam-602	84	2	group	group	NOUN
ejpam-602	84	3	method	method	NOUN
ejpam-602	84	4	of	of	ADP
ejpam-602	84	5	data	data	NOUN
ejpam-602	84	6	handling	handling	NOUN
ejpam-602	84	7	(	(	PUNCT
ejpam-602	84	8	gmdh	gmdh	PROPN
ejpam-602	84	9	)	)	PUNCT
ejpam-602	84	10	is	be	AUX
ejpam-602	84	11	used	use	VERB
ejpam-602	84	12	.	.	PUNCT
ejpam-602	85	1	2000	2000	NUM
ejpam-602	85	2	mathematics	mathematic	NOUN
ejpam-602	85	3	subject	subject	NOUN
ejpam-602	85	4	classifications	classification	NOUN
ejpam-602	85	5	:	:	PUNCT
ejpam-602	85	6	62	62	NUM
ejpam-602	85	7	key	key	ADJ
ejpam-602	85	8	words	word	NOUN
ejpam-602	85	9	and	and	CCONJ
ejpam-602	85	10	phrases	phrase	NOUN
ejpam-602	85	11	:	:	PUNCT
ejpam-602	85	12	logic	logic	NOUN
ejpam-602	85	13	regression	regression	NOUN
ejpam-602	85	14	,	,	PUNCT
ejpam-602	85	15	gmdh	gmdh	NOUN
ejpam-602	85	16	,	,	PUNCT
ejpam-602	85	17	algorithm	algorithm	NOUN
ejpam-602	85	18	,	,	PUNCT
ejpam-602	85	19	self	self	NOUN
ejpam-602	85	20	-	-	PUNCT
ejpam-602	85	21	organizing	organize	VERB
ejpam-602	85	22	methods	method	NOUN
ejpam-602	85	23	.	.	PUNCT
ejpam-602	86	1	_	_	PUNCT
ejpam-602	87	1	_	_	PUNCT
ejpam-602	88	1	_	_	PUNCT
ejpam-602	89	1	_	_	PUNCT
ejpam-602	90	1	_	_	PUNCT
ejpam-602	91	1	_	_	PUNCT
ejpam-602	92	1	_	_	PUNCT
ejpam-602	93	1	_	_	PUNCT
ejpam-602	94	1	_	_	PUNCT
ejpam-602	95	1	_	_	PUNCT
ejpam-602	96	1	_	_	PUNCT
ejpam-602	97	1	_	_	PUNCT
ejpam-602	98	1	_	_	PUNCT
ejpam-602	99	1	_	_	PUNCT
ejpam-602	100	1	_	_	PUNCT
ejpam-602	101	1	_	_	PUNCT
ejpam-602	102	1	_	_	PUNCT
ejpam-602	103	1	_	_	PUNCT
ejpam-602	104	1	_	_	PUNCT
ejpam-602	105	1	_	_	PUNCT
ejpam-602	106	1	_	_	PUNCT
ejpam-602	107	1	_	_	PUNCT
ejpam-602	108	1	_	_	PUNCT
ejpam-602	109	1	_	_	PUNCT
ejpam-602	110	1	_	_	PUNCT
ejpam-602	111	1	_	_	PUNCT
ejpam-602	112	1	_	_	PUNCT
ejpam-602	113	1	_	_	PUNCT
ejpam-602	114	1	_	_	PUNCT
ejpam-602	115	1	_	_	PUNCT
ejpam-602	116	1	_	_	PUNCT
ejpam-602	117	1	_	_	PUNCT
ejpam-602	118	1	_	_	PUNCT
ejpam-602	119	1	_	_	PUNCT
ejpam-602	120	1	_	_	PUNCT
ejpam-602	121	1	_	_	PUNCT
ejpam-602	122	1	_	_	PUNCT
ejpam-602	123	1	_	_	PUNCT
ejpam-602	124	1	_	_	PUNCT
ejpam-602	125	1	_	_	PUNCT
ejpam-602	126	1	_	_	PUNCT
ejpam-602	127	1	_	_	PUNCT
ejpam-602	128	1	_	_	PUNCT
ejpam-602	129	1	_	_	PUNCT
ejpam-602	130	1	_	_	PUNCT
ejpam-602	131	1	_	_	PUNCT
ejpam-602	132	1	_	_	PUNCT
ejpam-602	133	1	_	_	PUNCT
ejpam-602	134	1	_	_	PUNCT
ejpam-602	135	1	_	_	PUNCT
ejpam-602	136	1	_	_	PUNCT
ejpam-602	137	1	_	_	PUNCT
ejpam-602	138	1	_	_	PUNCT
ejpam-602	139	1	_	_	PUNCT
ejpam-602	140	1	_	_	PUNCT
ejpam-602	141	1	_	_	PUNCT
ejpam-602	142	1	_	_	PUNCT
ejpam-602	143	1	_	_	PUNCT
ejpam-602	144	1	_	_	PUNCT
ejpam-602	145	1	_	_	PUNCT
ejpam-602	146	1	_	_	PUNCT
ejpam-602	147	1	_	_	PUNCT
ejpam-602	148	1	_	_	PUNCT
ejpam-602	149	1	_	_	PUNCT
ejpam-602	150	1	_	_	PUNCT
ejpam-602	151	1	_	_	PUNCT
ejpam-602	152	1	_	_	PUNCT
ejpam-602	153	1	_	_	PUNCT
ejpam-602	154	1	_	_	PUNCT
ejpam-602	155	1	_	_	PUNCT
ejpam-602	156	1	_	_	PUNCT
ejpam-602	157	1	_	_	PUNCT
ejpam-602	158	1	_	_	PUNCT
ejpam-602	159	1	_	_	PUNCT
ejpam-602	160	1	1	1	X
ejpam-602	160	2	.	.	X
ejpam-602	160	3	introduction	introduction	NOUN
ejpam-602	160	4	in	in	ADP
ejpam-602	160	5	this	this	DET
ejpam-602	160	6	paper	paper	NOUN
ejpam-602	160	7	we	we	PRON
ejpam-602	160	8	study	study	VERB
ejpam-602	160	9	the	the	DET
ejpam-602	160	10	possibility	possibility	NOUN
ejpam-602	160	11	of	of	ADP
ejpam-602	160	12	using	use	VERB
ejpam-602	160	13	ivakhenko	ivakhenko	NOUN
ejpam-602	160	14	’s	’s	PART
ejpam-602	160	15	group	group	NOUN
ejpam-602	160	16	method	method	NOUN
ejpam-602	160	17	of	of	ADP
ejpam-602	160	18	data	data	NOUN
ejpam-602	160	19	handling	handling	NOUN
ejpam-602	160	20	(	(	PUNCT
ejpam-602	160	21	gmdh	gmdh	ADJ
ejpam-602	160	22	)	)	PUNCT
ejpam-602	160	23	algorithm	algorithm	NOUN
ejpam-602	160	24	for	for	ADP
ejpam-602	160	25	finding	find	VERB
ejpam-602	160	26	the	the	DET
ejpam-602	160	27	best	good	ADJ
ejpam-602	160	28	logical	logical	ADJ
ejpam-602	160	29	expressions	expression	NOUN
ejpam-602	160	30	jl	jl	NOUN
ejpam-602	160	31	among	among	ADP
ejpam-602	160	32	boolean	boolean	ADJ
ejpam-602	160	33	predictor	predictor	NOUN
ejpam-602	160	34	variables	variable	VERB
ejpam-602	160	35	1	1	NUM
ejpam-602	160	36	2	2	NUM
ejpam-602	160	37	,	,	PUNCT
ejpam-602	160	38	,	,	PUNCT
ejpam-602	160	39	,	,	PUNCT
ejpam-602	160	40	mx	mx	PROPN
ejpam-602	160	41	x	x	X
ejpam-602	160	42	x	x	PROPN
ejpam-602	160	43	which	which	PRON
ejpam-602	160	44	best	well	ADV
ejpam-602	160	45	predicts	predict	VERB
ejpam-602	160	46	a	a	DET
ejpam-602	160	47	dependent	dependent	ADJ
ejpam-602	160	48	boolean	boolean	ADJ
ejpam-602	160	49	variable	variable	NOUN
ejpam-602	160	50	y	y	PROPN
ejpam-602	160	51	.	.	PUNCT
ejpam-602	161	1	by	by	ADP
ejpam-602	161	2	logical	logical	ADJ
ejpam-602	161	3	expressions	expression	NOUN
ejpam-602	161	4	jl	jl	NOUN
ejpam-602	161	5	,	,	PUNCT
ejpam-602	161	6	we	we	PRON
ejpam-602	161	7	mean	mean	VERB
ejpam-602	161	8	boolean	boolean	ADJ
ejpam-602	161	9	expressions	expression	NOUN
ejpam-602	161	10	such	such	ADJ
ejpam-602	161	11	as	as	ADP
ejpam-602	161	12	1	1	NUM
ejpam-602	161	13	2	2	NUM
ejpam-602	161	14	"	"	PUNCT
ejpam-602	161	15	,	,	PUNCT
ejpam-602	161	16	x	x	PUNCT
ejpam-602	161	17	x	x	X
ejpam-602	161	18	are	be	AUX
ejpam-602	161	19	true	true	ADJ
ejpam-602	161	20	but	but	CCONJ
ejpam-602	161	21	not	not	PART
ejpam-602	161	22	5	5	NUM
ejpam-602	161	23	"	"	NOUN
ejpam-602	161	24	x	x	SYM
ejpam-602	161	25	,	,	PUNCT
ejpam-602	161	26	or	or	CCONJ
ejpam-602	161	27	3	3	NUM
ejpam-602	161	28	5	5	NUM
ejpam-602	161	29	7	7	NUM
ejpam-602	161	30	"	"	PUNCT
ejpam-602	161	31	,	,	PUNCT
ejpam-602	161	32	,	,	PUNCT
ejpam-602	161	33	x	x	PUNCT
ejpam-602	161	34	x	x	PUNCT
ejpam-602	161	35	x	x	X
ejpam-602	161	36	are	be	AUX
ejpam-602	161	37	true	true	ADJ
ejpam-602	161	38	but	but	CCONJ
ejpam-602	161	39	not	not	PART
ejpam-602	161	40	1x	1x	NUM
ejpam-602	161	41	or	or	CCONJ
ejpam-602	161	42	2	2	NUM
ejpam-602	161	43	"	"	PUNCT
ejpam-602	161	44	x	x	X
ejpam-602	161	45	or	or	CCONJ
ejpam-602	161	46	"	"	PUNCT
ejpam-602	161	47	if	if	SCONJ
ejpam-602	161	48	1x	1x	NUM
ejpam-602	161	49	and	and	CCONJ
ejpam-602	161	50	2x	2x	NUM
ejpam-602	161	51	are	be	AUX
ejpam-602	161	52	true	true	ADJ
ejpam-602	161	53	then	then	ADV
ejpam-602	161	54	5x	5x	NOUN
ejpam-602	161	55	is	be	AUX
ejpam-602	161	56	true	true	ADJ
ejpam-602	161	57	.	.	PUNCT
ejpam-602	162	1	before	before	ADP
ejpam-602	162	2	showing	show	VERB
ejpam-602	162	3	how	how	SCONJ
ejpam-602	162	4	this	this	DET
ejpam-602	162	5	algorithm	algorithm	NOUN
ejpam-602	162	6	is	be	AUX
ejpam-602	162	7	performed	perform	VERB
ejpam-602	162	8	,	,	PUNCT
ejpam-602	162	9	since	since	SCONJ
ejpam-602	162	10	the	the	DET
ejpam-602	162	11	gmdh	gmdh	ADJ
ejpam-602	162	12	algorithm	algorithm	NOUN
ejpam-602	162	13	is	be	AUX
ejpam-602	162	14	not	not	PART
ejpam-602	162	15	wellknown	wellknown	ADJ
ejpam-602	162	16	,	,	PUNCT
ejpam-602	162	17	we	we	PRON
ejpam-602	162	18	summarize	summarize	VERB
ejpam-602	162	19	ivakhnenko	ivakhnenko	NOUN
ejpam-602	162	20	’s	’s	PART
ejpam-602	162	21	basic	basic	ADJ
ejpam-602	162	22	algorithm	algorithm	NOUN
ejpam-602	162	23	for	for	ADP
ejpam-602	162	24	ordinary	ordinary	ADJ
ejpam-602	162	25	regression	regression	NOUN
ejpam-602	162	26	.	.	PUNCT
ejpam-602	163	1	j.	j.	PROPN
ejpam-602	163	2	farlow	farlow	PROPN
ejpam-602	163	3	/	/	SYM
ejpam-602	163	4	eur	eur	PROPN
ejpam-602	163	5	.	.	PUNCT
ejpam-602	164	1	j.	j.	PROPN
ejpam-602	164	2	pure	pure	PROPN
ejpam-602	164	3	appl	appl	PROPN
ejpam-602	164	4	.	.	PUNCT
ejpam-602	165	1	math	math	NOUN
ejpam-602	165	2	164	164	NUM
ejpam-602	165	3	2	2	NUM
ejpam-602	165	4	.	.	PUNCT
ejpam-602	165	5	basic	basic	ADJ
ejpam-602	165	6	group	group	NOUN
ejpam-602	165	7	method	method	NOUN
ejpam-602	165	8	of	of	ADP
ejpam-602	165	9	data	data	NOUN
ejpam-602	165	10	handling	handling	NOUN
ejpam-602	165	11	(	(	PUNCT
ejpam-602	165	12	gmdh	gmdh	ADJ
ejpam-602	165	13	)	)	PUNCT
ejpam-602	165	14	algorithm	algorithm	NOUN
ejpam-602	165	15	2.1	2.1	NUM
ejpam-602	165	16	basic	basic	ADJ
ejpam-602	165	17	gmdh	gmdh	ADJ
ejpam-602	165	18	method	method	NOUN
ejpam-602	165	19	if	if	SCONJ
ejpam-602	165	20	one	one	NUM
ejpam-602	165	21	were	be	AUX
ejpam-602	165	22	to	to	PART
ejpam-602	165	23	anthropomorphize	anthropomorphize	VERB
ejpam-602	165	24	,	,	PUNCT
ejpam-602	165	25	one	one	PRON
ejpam-602	165	26	might	might	AUX
ejpam-602	165	27	say	say	VERB
ejpam-602	165	28	the	the	DET
ejpam-602	165	29	gmdh	gmdh	ADJ
ejpam-602	165	30	algorithm	algorithm	NOUN
ejpam-602	165	31	builds	build	VERB
ejpam-602	165	32	a	a	DET
ejpam-602	165	33	mathematical	mathematical	ADJ
ejpam-602	165	34	model	model	NOUN
ejpam-602	165	35	similar	similar	ADJ
ejpam-602	165	36	to	to	ADP
ejpam-602	165	37	the	the	DET
ejpam-602	165	38	way	way	NOUN
ejpam-602	165	39	biological	biological	ADJ
ejpam-602	165	40	organisms	organism	NOUN
ejpam-602	165	41	are	be	AUX
ejpam-602	165	42	created	create	VERB
ejpam-602	165	43	through	through	ADP
ejpam-602	165	44	evolution	evolution	NOUN
ejpam-602	165	45	.	.	PUNCT
ejpam-602	166	1	that	that	PRON
ejpam-602	166	2	is	be	AUX
ejpam-602	166	3	,	,	PUNCT
ejpam-602	166	4	starting	start	VERB
ejpam-602	166	5	with	with	ADP
ejpam-602	166	6	a	a	DET
ejpam-602	166	7	few	few	ADJ
ejpam-602	166	8	basic	basic	ADJ
ejpam-602	166	9	primeval	primeval	NOUN
ejpam-602	166	10	forms	form	NOUN
ejpam-602	166	11	(	(	PUNCT
ejpam-602	166	12	i.e.	i.e.	X
ejpam-602	166	13	equations	equation	NOUN
ejpam-602	166	14	)	)	PUNCT
ejpam-602	166	15	;	;	PUNCT
ejpam-602	166	16	one	one	PRON
ejpam-602	166	17	grows	grow	VERB
ejpam-602	166	18	a	a	DET
ejpam-602	166	19	new	new	ADJ
ejpam-602	166	20	generation	generation	NOUN
ejpam-602	166	21	of	of	ADP
ejpam-602	166	22	more	more	ADV
ejpam-602	166	23	complex	complex	ADJ
ejpam-602	166	24	off	off	ADP
ejpam-602	166	25	-	-	PUNCT
ejpam-602	166	26	springs	spring	NOUN
ejpam-602	166	27	(	(	PUNCT
ejpam-602	166	28	equations	equation	NOUN
ejpam-602	166	29	)	)	PUNCT
ejpam-602	166	30	and	and	CCONJ
ejpam-602	166	31	then	then	ADV
ejpam-602	166	32	allows	allow	VERB
ejpam-602	166	33	for	for	ADP
ejpam-602	166	34	a	a	DET
ejpam-602	166	35	survival	survival	NOUN
ejpam-602	166	36	-	-	PUNCT
ejpam-602	166	37	of	of	ADP
ejpam-602	166	38	-	-	PUNCT
ejpam-602	166	39	thefittest	thefittest	NOUN
ejpam-602	166	40	principle	principle	NOUN
ejpam-602	166	41	to	to	PART
ejpam-602	166	42	determine	determine	VERB
ejpam-602	166	43	which	which	PRON
ejpam-602	166	44	new	new	ADJ
ejpam-602	166	45	off	off	ADP
ejpam-602	166	46	-	-	PUNCT
ejpam-602	166	47	springs	spring	NOUN
ejpam-602	166	48	survive	survive	VERB
ejpam-602	166	49	and	and	CCONJ
ejpam-602	166	50	which	which	PRON
ejpam-602	166	51	do	do	VERB
ejpam-602	166	52	not	not	PART
ejpam-602	166	53	.	.	PUNCT
ejpam-602	167	1	the	the	DET
ejpam-602	167	2	idea	idea	NOUN
ejpam-602	167	3	is	be	AUX
ejpam-602	167	4	that	that	SCONJ
ejpam-602	167	5	new	new	ADJ
ejpam-602	167	6	generations	generation	NOUN
ejpam-602	167	7	of	of	ADP
ejpam-602	167	8	off	off	ADP
ejpam-602	167	9	-	-	PUNCT
ejpam-602	167	10	springs	spring	NOUN
ejpam-602	167	11	(	(	PUNCT
ejpam-602	167	12	equations	equation	NOUN
ejpam-602	167	13	)	)	PUNCT
ejpam-602	167	14	are	be	AUX
ejpam-602	167	15	better	well	ADV
ejpam-602	167	16	suited	suited	ADJ
ejpam-602	167	17	to	to	PART
ejpam-602	167	18	model	model	VERB
ejpam-602	167	19	the	the	DET
ejpam-602	167	20	real	real	ADJ
ejpam-602	167	21	world	world	NOUN
ejpam-602	167	22	than	than	ADP
ejpam-602	167	23	earlier	early	ADJ
ejpam-602	167	24	ones	one	NOUN
ejpam-602	167	25	.	.	PUNCT
ejpam-602	168	1	continuing	continue	VERB
ejpam-602	168	2	this	this	DET
ejpam-602	168	3	process	process	NOUN
ejpam-602	168	4	for	for	ADP
ejpam-602	168	5	more	more	ADJ
ejpam-602	168	6	generations	generation	NOUN
ejpam-602	168	7	,	,	PUNCT
ejpam-602	168	8	one	one	PRON
ejpam-602	168	9	finds	find	VERB
ejpam-602	168	10	a	a	DET
ejpam-602	168	11	collection	collection	NOUN
ejpam-602	168	12	of	of	ADP
ejpam-602	168	13	models	model	NOUN
ejpam-602	168	14	that	that	PRON
ejpam-602	168	15	hopefully	hopefully	ADV
ejpam-602	168	16	describes	describe	VERB
ejpam-602	168	17	the	the	DET
ejpam-602	168	18	problem	problem	NOUN
ejpam-602	168	19	at	at	ADP
ejpam-602	168	20	hand	hand	NOUN
ejpam-602	168	21	.	.	PUNCT
ejpam-602	169	1	the	the	DET
ejpam-602	169	2	process	process	NOUN
ejpam-602	169	3	is	be	AUX
ejpam-602	169	4	stopped	stop	VERB
ejpam-602	169	5	once	once	SCONJ
ejpam-602	169	6	the	the	DET
ejpam-602	169	7	model	model	NOUN
ejpam-602	169	8	begins	begin	VERB
ejpam-602	169	9	to	to	PART
ejpam-602	169	10	“	"	PUNCT
ejpam-602	169	11	over	over	ADP
ejpam-602	169	12	-	-	PUNCT
ejpam-602	169	13	fit	fit	NOUN
ejpam-602	169	14	”	"	PUNCT
ejpam-602	169	15	the	the	DET
ejpam-602	169	16	real	real	ADJ
ejpam-602	169	17	world	world	NOUN
ejpam-602	169	18	,	,	PUNCT
ejpam-602	169	19	thus	thus	ADV
ejpam-602	169	20	stopping	stop	VERB
ejpam-602	169	21	when	when	SCONJ
ejpam-602	169	22	the	the	DET
ejpam-602	169	23	model	model	NOUN
ejpam-602	169	24	reaches	reach	VERB
ejpam-602	169	25	some	some	DET
ejpam-602	169	26	level	level	NOUN
ejpam-602	169	27	of	of	ADP
ejpam-602	169	28	optimal	optimal	ADJ
ejpam-602	169	29	complexity	complexity	NOUN
ejpam-602	169	30	.	.	PUNCT
ejpam-602	170	1	in	in	ADP
ejpam-602	170	2	1966	1966	NUM
ejpam-602	170	3	,	,	PUNCT
ejpam-602	170	4	ukrainian	ukrainian	ADJ
ejpam-602	170	5	cyberneticist	cyberneticist	NOUN
ejpam-602	170	6	,	,	PUNCT
ejpam-602	170	7	a.g	a.g	PROPN
ejpam-602	170	8	.	.	PROPN
ejpam-602	170	9	ivakhnenko	ivakhnenko	PROPN
ejpam-602	170	10	,	,	PUNCT
ejpam-602	170	11	discouraged	discourage	VERB
ejpam-602	170	12	by	by	ADP
ejpam-602	170	13	the	the	DET
ejpam-602	170	14	fact	fact	NOUN
ejpam-602	170	15	that	that	SCONJ
ejpam-602	170	16	many	many	ADJ
ejpam-602	170	17	mathematical	mathematical	ADJ
ejpam-602	170	18	models	model	NOUN
ejpam-602	170	19	require	require	VERB
ejpam-602	170	20	the	the	DET
ejpam-602	170	21	modeler	modeler	NOUN
ejpam-602	170	22	to	to	PART
ejpam-602	170	23	know	know	VERB
ejpam-602	170	24	things	thing	NOUN
ejpam-602	170	25	about	about	ADP
ejpam-602	170	26	the	the	DET
ejpam-602	170	27	real	real	ADJ
ejpam-602	170	28	world	world	NOUN
ejpam-602	170	29	that	that	PRON
ejpam-602	170	30	are	be	AUX
ejpam-602	170	31	difficult	difficult	ADJ
ejpam-602	170	32	or	or	CCONJ
ejpam-602	170	33	impossible	impossible	ADJ
ejpam-602	170	34	to	to	PART
ejpam-602	170	35	know	know	VERB
ejpam-602	170	36	,	,	PUNCT
ejpam-602	170	37	produced	produce	VERB
ejpam-602	170	38	a	a	DET
ejpam-602	170	39	heuristic	heuristic	ADJ
ejpam-602	170	40	self	self	NOUN
ejpam-602	170	41	-	-	PUNCT
ejpam-602	170	42	organizing	organize	VERB
ejpam-602	170	43	model	model	NOUN
ejpam-602	170	44	,	,	PUNCT
ejpam-602	170	45	called	call	VERB
ejpam-602	170	46	the	the	DET
ejpam-602	170	47	group	group	NOUN
ejpam-602	170	48	method	method	NOUN
ejpam-602	170	49	of	of	ADP
ejpam-602	170	50	data	datum	NOUN
ejpam-602	170	51	handling	handling	NOUN
ejpam-602	170	52	algorithm	algorithm	NOUN
ejpam-602	170	53	.	.	PUNCT
ejpam-602	171	1	for	for	SCONJ
ejpam-602	171	2	more	more	ADJ
ejpam-602	171	3	information	information	NOUN
ejpam-602	171	4	see	see	VERB
ejpam-602	171	5	farlow	farlow	ADJ
ejpam-602	171	6	,	,	PUNCT
ejpam-602	171	7	[	[	X
ejpam-602	171	8	1	1	X
ejpam-602	171	9	]	]	PUNCT
ejpam-602	171	10	or	or	CCONJ
ejpam-602	171	11	view	view	VERB
ejpam-602	171	12	one	one	NUM
ejpam-602	171	13	of	of	ADP
ejpam-602	171	14	the	the	DET
ejpam-602	171	15	many	many	ADJ
ejpam-602	171	16	websites	website	NOUN
ejpam-602	171	17	which	which	PRON
ejpam-602	171	18	discuss	discuss	VERB
ejpam-602	171	19	applications	application	NOUN
ejpam-602	171	20	of	of	ADP
ejpam-602	171	21	the	the	DET
ejpam-602	171	22	technique	technique	NOUN
ejpam-602	171	23	.	.	PUNCT
ejpam-602	172	1	ivakhnenko	ivakhnenko	PROPN
ejpam-602	172	2	’s	’s	PART
ejpam-602	172	3	website	website	NOUN
ejpam-602	172	4	at	at	ADP
ejpam-602	172	5	http://www.gmdh.net/	http://www.gmdh.net/	NOUN
ejpam-602	172	6	will	will	AUX
ejpam-602	172	7	give	give	VERB
ejpam-602	172	8	the	the	DET
ejpam-602	172	9	reader	reader	NOUN
ejpam-602	172	10	a	a	DET
ejpam-602	172	11	complete	complete	ADJ
ejpam-602	172	12	history	history	NOUN
ejpam-602	172	13	of	of	ADP
ejpam-602	172	14	the	the	DET
ejpam-602	172	15	method	method	NOUN
ejpam-602	172	16	.	.	PUNCT
ejpam-602	173	1	the	the	DET
ejpam-602	173	2	basic	basic	ADJ
ejpam-602	173	3	gmdh	gmdh	ADJ
ejpam-602	173	4	algorithm	algorithm	NOUN
ejpam-602	173	5	can	can	AUX
ejpam-602	173	6	be	be	AUX
ejpam-602	173	7	broken	break	VERB
ejpam-602	173	8	into	into	ADP
ejpam-602	173	9	a	a	DET
ejpam-602	173	10	few	few	ADJ
ejpam-602	173	11	distinct	distinct	ADJ
ejpam-602	173	12	steps	step	NOUN
ejpam-602	173	13	.	.	PUNCT
ejpam-602	174	1	step	step	NOUN
ejpam-602	174	2	1	1	NUM
ejpam-602	174	3	(	(	PUNCT
ejpam-602	174	4	constructing	construct	VERB
ejpam-602	174	5	new	new	ADJ
ejpam-602	174	6	variables	variable	NOUN
ejpam-602	174	7	1	1	NUM
ejpam-602	174	8	2	2	NUM
ejpam-602	174	9	(	(	PUNCT
ejpam-602	174	10	,	,	PUNCT
ejpam-602	174	11	2	2	NUM
ejpam-602	174	12	)	)	PUNCT
ejpam-602	174	13	,	,	PUNCT
ejpam-602	174	14	,	,	PUNCT
ejpam-602	174	15	...	...	PUNCT
ejpam-602	174	16	,	,	PUNCT
ejpam-602	174	17	c	c	PROPN
ejpam-602	175	1	mz	mz	PROPN
ejpam-602	175	2	z	z	PROPN
ejpam-602	175	3	z	z	PROPN
ejpam-602	175	4	)	)	PUNCT
ejpam-602	176	1	the	the	DET
ejpam-602	176	2	basic	basic	ADJ
ejpam-602	176	3	gmdh	gmdh	ADJ
ejpam-602	176	4	algorithm	algorithm	NOUN
ejpam-602	176	5	begins	begin	VERB
ejpam-602	176	6	with	with	ADP
ejpam-602	176	7	regression	regression	NOUN
ejpam-602	176	8	-	-	PUNCT
ejpam-602	176	9	type	type	NOUN
ejpam-602	176	10	data	datum	NOUN
ejpam-602	176	11	points	point	NOUN
ejpam-602	176	12	of	of	ADP
ejpam-602	176	13	the	the	DET
ejpam-602	176	14	form	form	NOUN
ejpam-602	176	15	1	1	NUM
ejpam-602	176	16	2	2	NUM
ejpam-602	176	17	1	1	NUM
ejpam-602	176	18	2	2	NUM
ejpam-602	176	19	,	,	PUNCT
ejpam-602	176	20	,	,	PUNCT
ejpam-602	176	21	,	,	PUNCT
ejpam-602	176	22	...	...	PUNCT
ejpam-602	176	23	,	,	PUNCT
ejpam-602	176	24	,	,	PUNCT
ejpam-602	176	25	,	,	PUNCT
ejpam-602	176	26	,	,	PUNCT
ejpam-602	176	27	...	...	PUNCT
ejpam-602	176	28	,	,	PUNCT
ejpam-602	176	29	i	i	PRON
ejpam-602	177	1	i	i	PRON
ejpam-602	177	2	i	i	PRON
ejpam-602	177	3	imy	imy	VERB
ejpam-602	177	4	x	x	PUNCT
ejpam-602	177	5	x	x	PUNCT
ejpam-602	177	6	x	x	PUNCT
ejpam-602	177	7	i	i	PRON
ejpam-602	177	8	n=	n=	ADV
ejpam-602	177	9	,	,	PUNCT
ejpam-602	177	10	where	where	SCONJ
ejpam-602	177	11	the	the	DET
ejpam-602	177	12	n	n	PRON
ejpam-602	177	13	observations	observation	NOUN
ejpam-602	177	14	are	be	AUX
ejpam-602	177	15	subdivided	subdivide	VERB
ejpam-602	177	16	into	into	ADP
ejpam-602	177	17	two	two	NUM
ejpam-602	177	18	groups	group	NOUN
ejpam-602	177	19	,	,	PUNCT
ejpam-602	177	20	the	the	DET
ejpam-602	177	21	first	first	ADJ
ejpam-602	177	22	nt	nt	PROPN
ejpam-602	177	23	observations	observation	NOUN
ejpam-602	177	24	are	be	AUX
ejpam-602	177	25	called	call	VERB
ejpam-602	177	26	the	the	DET
ejpam-602	177	27	training	training	NOUN
ejpam-602	177	28	observations	observation	NOUN
ejpam-602	177	29	and	and	CCONJ
ejpam-602	177	30	the	the	DET
ejpam-602	177	31	remaining	remain	VERB
ejpam-602	177	32	nc	nc	PROPN
ejpam-602	177	33	n	n	ADV
ejpam-602	177	34	nt=	nt=	PROPN
ejpam-602	177	35	−	−	PROPN
ejpam-602	177	36	observations	observation	NOUN
ejpam-602	177	37	are	be	AUX
ejpam-602	177	38	called	call	VERB
ejpam-602	177	39	the	the	DET
ejpam-602	177	40	checking	checking	NOUN
ejpam-602	177	41	observations	observation	NOUN
ejpam-602	177	42	.	.	PUNCT
ejpam-602	178	1	see	see	VERB
ejpam-602	178	2	the	the	DET
ejpam-602	178	3	data	datum	NOUN
ejpam-602	178	4	in	in	ADP
ejpam-602	178	5	figure	figure	NOUN
ejpam-602	178	6	1	1	NUM
ejpam-602	178	7	.	.	PUNCT
ejpam-602	179	1	normally	normally	ADV
ejpam-602	179	2	,	,	PUNCT
ejpam-602	179	3	about	about	ADP
ejpam-602	179	4	half	half	DET
ejpam-602	179	5	the	the	DET
ejpam-602	179	6	observations	observation	NOUN
ejpam-602	179	7	are	be	AUX
ejpam-602	179	8	chosen	choose	VERB
ejpam-602	179	9	to	to	PART
ejpam-602	179	10	be	be	AUX
ejpam-602	179	11	in	in	ADP
ejpam-602	179	12	each	each	DET
ejpam-602	179	13	group	group	NOUN
ejpam-602	179	14	.	.	PUNCT
ejpam-602	180	1	y	y	NOUN
ejpam-602	180	2	x	x	PUNCT
ejpam-602	180	3	training	training	NOUN
ejpam-602	180	4	set	set	VERB
ejpam-602	180	5	y	y	PROPN
ejpam-602	180	6	1x	1x	NUM
ejpam-602	180	7	2x	2x	NUM
ejpam-602	180	8			NOUN
ejpam-602	180	9	mx	mx	NOUN
ejpam-602	180	10	1y	1y	PROPN
ejpam-602	180	11	11x	11x	NOUN
ejpam-602	180	12	12x	12x	NUM
ejpam-602	181	1			NOUN
ejpam-602	181	2	1mx	1mx	ADJ
ejpam-602	181	3	2y	2y	PROPN
ejpam-602	181	4	21x	21x	NOUN
ejpam-602	181	5	22x	22x	NOUN
ejpam-602	181	6			NOUN
ejpam-602	181	7	2mx	2mx	ADJ
ejpam-602	181	8			NOUN
ejpam-602	181	9			NOUN
ejpam-602	181	10			NOUN
ejpam-602	181	11			NOUN
ejpam-602	181	12			NOUN
ejpam-602	181	13	nty	nty	NOUN
ejpam-602	181	14	,	,	PUNCT
ejpam-602	182	1	1ntx	1ntx	INTJ
ejpam-602	182	2	,	,	PUNCT
ejpam-602	182	3	2ntx	2ntx	NUM
ejpam-602	182	4			NOUN
ejpam-602	182	5	,	,	PUNCT
ejpam-602	182	6	nt	not	PART
ejpam-602	182	7	mx	mx	NOUN
ejpam-602	182	8	checking	check	VERB
ejpam-602	182	9	set	set	VERB
ejpam-602	182	10	1nty	1nty	PROPN
ejpam-602	183	1	+	+	CCONJ
ejpam-602	183	2	1,1ntx	1,1ntx	NUM
ejpam-602	184	1	+	+	CCONJ
ejpam-602	184	2	1,2ntx	1,2ntx	NUM
ejpam-602	184	3	+	+	NUM
ejpam-602	184	4			NOUN
ejpam-602	184	5	1,nt	1,nt	NUM
ejpam-602	184	6	mx	mx	NOUN
ejpam-602	184	7	+	+	CCONJ
ejpam-602	184	8			NOUN
ejpam-602	184	9			NOUN
ejpam-602	184	10			NOUN
ejpam-602	184	11			NOUN
ejpam-602	184	12			NOUN
ejpam-602	184	13	ny	ny	NOUN
ejpam-602	184	14	,	,	PUNCT
ejpam-602	184	15	1nx	1nx	NOUN
ejpam-602	184	16	,	,	PUNCT
ejpam-602	184	17	2nx	2nx	ADJ
ejpam-602	184	18			NOUN
ejpam-602	184	19	nmx	nmx	ADJ
ejpam-602	184	20	figure	figure	NOUN
ejpam-602	184	21	1	1	NUM
ejpam-602	184	22	:	:	PUNCT
ejpam-602	184	23	regression	regression	NOUN
ejpam-602	184	24	-	-	PUNCT
ejpam-602	184	25	type	type	NOUN
ejpam-602	184	26	data	datum	NOUN
ejpam-602	184	27	for	for	ADP
ejpam-602	184	28	the	the	DET
ejpam-602	184	29	gmdh	gmdh	ADJ
ejpam-602	184	30	algorithm	algorithm	PROPN
ejpam-602	184	31	http://www.gmdh.net/	http://www.gmdh.net/	PROPN
ejpam-602	184	32	�	�	PROPN
ejpam-602	184	33	j.	j.	PROPN
ejpam-602	184	34	farlow	farlow	PROPN
ejpam-602	184	35	/	/	SYM
ejpam-602	184	36	eur	eur	PROPN
ejpam-602	184	37	.	.	PUNCT
ejpam-602	185	1	j.	j.	PROPN
ejpam-602	185	2	pure	pure	PROPN
ejpam-602	185	3	appl	appl	PROPN
ejpam-602	185	4	.	.	PUNCT
ejpam-602	186	1	math	math	NOUN
ejpam-602	186	2	165	165	NUM
ejpam-602	186	3	now	now	ADV
ejpam-602	186	4	,	,	PUNCT
ejpam-602	186	5	for	for	ADP
ejpam-602	186	6	each	each	PRON
ejpam-602	186	7	(	(	PUNCT
ejpam-602	186	8	,	,	PUNCT
ejpam-602	186	9	2	2	X
ejpam-602	186	10	)	)	PUNCT
ejpam-602	186	11	(	(	PUNCT
ejpam-602	186	12	1	1	NUM
ejpam-602	186	13	)	)	PUNCT
ejpam-602	186	14	/	/	SYM
ejpam-602	187	1	2c	2c	NUM
ejpam-602	187	2	m	m	VERB
ejpam-602	187	3	m	m	VERB
ejpam-602	187	4	m=	m=	VERB
ejpam-602	187	5	−	−	ADP
ejpam-602	187	6	pair	pair	NOUN
ejpam-602	187	7	of	of	ADP
ejpam-602	187	8	distinct	distinct	ADJ
ejpam-602	187	9	variables	variable	NOUN
ejpam-602	187	10	,	,	PUNCT
ejpam-602	187	11	i	i	PRON
ejpam-602	187	12	jx	jx	VERB
ejpam-602	188	1	x	x	X
ejpam-602	188	2	one	one	NOUN
ejpam-602	188	3	finds	find	VERB
ejpam-602	188	4	the	the	DET
ejpam-602	188	5	leastsquares	leastsquare	NOUN
ejpam-602	188	6	regression	regression	VERB
ejpam-602	188	7	polynomial	polynomial	ADJ
ejpam-602	188	8	for	for	ADP
ejpam-602	188	9	y	y	PROPN
ejpam-602	188	10	of	of	ADP
ejpam-602	188	11	the	the	DET
ejpam-602	188	12	form	form	NOUN
ejpam-602	188	13	2	2	NUM
ejpam-602	188	14	2	2	NUM
ejpam-602	189	1	i	i	PRON
ejpam-602	189	2	j	j	VERB
ejpam-602	190	1	i	i	PRON
ejpam-602	190	2	j	j	VERB
ejpam-602	191	1	i	i	PRON
ejpam-602	191	2	jy	jy	PROPN
ejpam-602	192	1	a	a	DET
ejpam-602	192	2	bx	bx	PROPN
ejpam-602	192	3	cx	cx	PROPN
ejpam-602	192	4	dx	dx	PROPN
ejpam-602	192	5	ex	ex	PROPN
ejpam-602	192	6	fx	fx	PROPN
ejpam-602	192	7	x=	x=	PUNCT
ejpam-602	193	1	+	+	PUNCT
ejpam-602	194	1	+	+	PUNCT
ejpam-602	194	2	+	+	PUNCT
ejpam-602	194	3	+	+	PUNCT
ejpam-602	194	4	+	+	CCONJ
ejpam-602	194	5	(	(	PUNCT
ejpam-602	194	6	1	1	NUM
ejpam-602	194	7	)	)	PUNCT
ejpam-602	194	8	(	(	PUNCT
ejpam-602	194	9	i.e.	i.e.	X
ejpam-602	194	10	find	find	VERB
ejpam-602	194	11	,	,	PUNCT
ejpam-602	194	12	,	,	PUNCT
ejpam-602	194	13	,	,	PUNCT
ejpam-602	194	14	,	,	PUNCT
ejpam-602	194	15	,	,	PUNCT
ejpam-602	194	16	a	a	DET
ejpam-602	194	17	b	b	NOUN
ejpam-602	194	18	c	c	NOUN
ejpam-602	194	19	d	d	X
ejpam-602	194	20	e	e	X
ejpam-602	194	21	f	f	PROPN
ejpam-602	194	22	)	)	PUNCT
ejpam-602	194	23	from	from	ADP
ejpam-602	194	24	the	the	DET
ejpam-602	194	25	observations	observation	NOUN
ejpam-602	194	26	in	in	ADP
ejpam-602	194	27	the	the	DET
ejpam-602	194	28	training	training	NOUN
ejpam-602	194	29	set	set	VERB
ejpam-602	194	30	these	these	DET
ejpam-602	194	31	(	(	PUNCT
ejpam-602	194	32	1	1	NUM
ejpam-602	194	33	)	)	PUNCT
ejpam-602	194	34	/	/	SYM
ejpam-602	194	35	2	2	NUM
ejpam-602	194	36	m	m	NOUN
ejpam-602	194	37	m	m	NOUN
ejpam-602	194	38	−	−	NOUN
ejpam-602	194	39	regression	regression	NOUN
ejpam-602	194	40	surfaces	surface	NOUN
ejpam-602	194	41	are	be	AUX
ejpam-602	194	42	illustrated	illustrate	VERB
ejpam-602	194	43	in	in	ADP
ejpam-602	194	44	figure	figure	NOUN
ejpam-602	194	45	2	2	NUM
ejpam-602	194	46	.	.	PUNCT
ejpam-602	194	47	figure	figure	NOUN
ejpam-602	194	48	2	2	NUM
ejpam-602	194	49	:	:	PUNCT
ejpam-602	194	50	computed	compute	VERB
ejpam-602	194	51	quadratic	quadratic	ADJ
ejpam-602	194	52	regression	regression	NOUN
ejpam-602	194	53	surfaces	surface	NOUN
ejpam-602	194	54	now	now	ADV
ejpam-602	194	55	evaluate	evaluate	VERB
ejpam-602	194	56	each	each	PRON
ejpam-602	194	57	of	of	ADP
ejpam-602	194	58	the	the	DET
ejpam-602	194	59	(	(	PUNCT
ejpam-602	194	60	1	1	NUM
ejpam-602	194	61	)	)	PUNCT
ejpam-602	194	62	/	/	SYM
ejpam-602	194	63	2	2	NUM
ejpam-602	194	64	m	m	NOUN
ejpam-602	194	65	m	m	NOUN
ejpam-602	194	66	−	−	NOUN
ejpam-602	194	67	regression	regression	NOUN
ejpam-602	194	68	polynomials	polynomial	NOUN
ejpam-602	194	69	at	at	ADP
ejpam-602	194	70	all	all	ADV
ejpam-602	194	71	n	n	PRON
ejpam-602	194	72	data	datum	NOUN
ejpam-602	194	73	points	point	NOUN
ejpam-602	194	74	and	and	CCONJ
ejpam-602	194	75	store	store	VERB
ejpam-602	194	76	these	these	DET
ejpam-602	194	77	values	value	NOUN
ejpam-602	194	78	(	(	PUNCT
ejpam-602	194	79	new	new	ADJ
ejpam-602	194	80	generation	generation	NOUN
ejpam-602	194	81	of	of	ADP
ejpam-602	194	82	variables	variable	NOUN
ejpam-602	194	83	)	)	PUNCT
ejpam-602	194	84	in	in	ADP
ejpam-602	194	85	the	the	DET
ejpam-602	194	86	respective	respective	ADJ
ejpam-602	194	87	columns	column	NOUN
ejpam-602	194	88	of	of	ADP
ejpam-602	194	89	a	a	DET
ejpam-602	194	90	new	new	ADJ
ejpam-602	194	91	array	array	NOUN
ejpam-602	194	92	,	,	PUNCT
ejpam-602	194	93	say	say	VERB
ejpam-602	194	94	z.	z.	PROPN
ejpam-602	194	95	the	the	DET
ejpam-602	194	96	evaluation	evaluation	NOUN
ejpam-602	194	97	of	of	ADP
ejpam-602	194	98	the	the	DET
ejpam-602	194	99	first	first	ADJ
ejpam-602	194	100	regression	regression	NOUN
ejpam-602	194	101	polynomial	polynomial	ADJ
ejpam-602	194	102	and	and	CCONJ
ejpam-602	194	103	its	its	PRON
ejpam-602	194	104	values	value	NOUN
ejpam-602	194	105	in	in	ADP
ejpam-602	194	106	the	the	DET
ejpam-602	194	107	first	first	ADJ
ejpam-602	194	108	column	column	NOUN
ejpam-602	194	109	of	of	ADP
ejpam-602	194	110	z	z	PROPN
ejpam-602	194	111	is	be	AUX
ejpam-602	194	112	illustrated	illustrate	VERB
ejpam-602	194	113	in	in	ADP
ejpam-602	194	114	figure	figure	NOUN
ejpam-602	194	115	3	3	NUM
ejpam-602	194	116	.	.	PUNCT
ejpam-602	194	117	figure	figure	VERB
ejpam-602	194	118	3	3	NUM
ejpam-602	194	119	:	:	PUNCT
ejpam-602	194	120	evaluating	evaluate	VERB
ejpam-602	194	121	the	the	DET
ejpam-602	194	122	quadratic	quadratic	ADJ
ejpam-602	194	123	regression	regression	NOUN
ejpam-602	194	124	polynomials	polynomial	VERB
ejpam-602	194	125	j.	j.	PROPN
ejpam-602	194	126	farlow	farlow	PROPN
ejpam-602	194	127	/	/	SYM
ejpam-602	194	128	eur	eur	PROPN
ejpam-602	194	129	.	.	PUNCT
ejpam-602	195	1	j.	j.	PROPN
ejpam-602	195	2	pure	pure	PROPN
ejpam-602	195	3	appl	appl	PROPN
ejpam-602	195	4	.	.	PUNCT
ejpam-602	196	1	math	math	NOUN
ejpam-602	196	2	166	166	NUM
ejpam-602	196	3	the	the	DET
ejpam-602	196	4	object	object	NOUN
ejpam-602	196	5	is	be	AUX
ejpam-602	196	6	to	to	PART
ejpam-602	196	7	keep	keep	VERB
ejpam-602	196	8	only	only	ADV
ejpam-602	196	9	the	the	DET
ejpam-602	196	10	best	good	ADJ
ejpam-602	196	11	of	of	ADP
ejpam-602	196	12	these	these	DET
ejpam-602	196	13	new	new	ADJ
ejpam-602	196	14	variables	variable	NOUN
ejpam-602	196	15	and	and	CCONJ
ejpam-602	196	16	this	this	PRON
ejpam-602	196	17	is	be	AUX
ejpam-602	196	18	where	where	SCONJ
ejpam-602	196	19	the	the	DET
ejpam-602	196	20	observations	observation	NOUN
ejpam-602	196	21	in	in	ADP
ejpam-602	196	22	the	the	DET
ejpam-602	196	23	checking	checking	NOUN
ejpam-602	196	24	set	set	NOUN
ejpam-602	196	25	come	come	VERB
ejpam-602	196	26	into	into	ADP
ejpam-602	196	27	play	play	NOUN
ejpam-602	196	28	.	.	PUNCT
ejpam-602	197	1	step	step	NOUN
ejpam-602	197	2	2	2	NUM
ejpam-602	197	3	(	(	PUNCT
ejpam-602	197	4	screening	screen	VERB
ejpam-602	197	5	out	out	ADP
ejpam-602	197	6	the	the	DET
ejpam-602	197	7	least	least	ADJ
ejpam-602	197	8	effective	effective	ADJ
ejpam-602	197	9	variables	variable	NOUN
ejpam-602	197	10	)	)	PUNCT
ejpam-602	197	11	this	this	DET
ejpam-602	197	12	step	step	NOUN
ejpam-602	197	13	replaces	replace	VERB
ejpam-602	197	14	the	the	DET
ejpam-602	197	15	original	original	ADJ
ejpam-602	197	16	variables	variable	NOUN
ejpam-602	197	17	(	(	PUNCT
ejpam-602	197	18	columns	column	NOUN
ejpam-602	197	19	of	of	ADP
ejpam-602	197	20	x	x	NOUN
ejpam-602	197	21	)	)	PUNCT
ejpam-602	197	22	by	by	ADP
ejpam-602	197	23	those	those	DET
ejpam-602	197	24	columns	column	NOUN
ejpam-602	197	25	of	of	ADP
ejpam-602	197	26	z	z	NOUN
ejpam-602	197	27	that	that	PRON
ejpam-602	197	28	best	well	ADV
ejpam-602	197	29	predict	predict	VERB
ejpam-602	197	30	y	y	PROPN
ejpam-602	197	31	,	,	PUNCT
ejpam-602	197	32	based	base	VERB
ejpam-602	197	33	on	on	ADP
ejpam-602	197	34	the	the	DET
ejpam-602	197	35	checking	check	VERB
ejpam-602	197	36	set	set	NOUN
ejpam-602	197	37	observations	observation	NOUN
ejpam-602	197	38	.	.	PUNCT
ejpam-602	198	1	that	that	PRON
ejpam-602	198	2	is	be	AUX
ejpam-602	198	3	,	,	PUNCT
ejpam-602	198	4	for	for	ADP
ejpam-602	198	5	each	each	DET
ejpam-602	198	6	column	column	NOUN
ejpam-602	198	7	j	j	PROPN
ejpam-602	198	8	of	of	ADP
ejpam-602	198	9	z	z	PROPN
ejpam-602	198	10	we	we	PRON
ejpam-602	198	11	compute	compute	VERB
ejpam-602	198	12	the	the	DET
ejpam-602	198	13	root	root	NOUN
ejpam-602	198	14	mean	mean	NOUN
ejpam-602	198	15	square	square	ADJ
ejpam-602	198	16	(	(	PUNCT
ejpam-602	198	17	or	or	CCONJ
ejpam-602	198	18	some	some	DET
ejpam-602	198	19	measure	measure	NOUN
ejpam-602	198	20	of	of	ADP
ejpam-602	198	21	association	association	NOUN
ejpam-602	198	22	)	)	PUNCT
ejpam-602	199	1	jr	jr	PROPN
ejpam-602	199	2	given	give	VERB
ejpam-602	199	3	by	by	ADP
ejpam-602	199	4	eq	eq	PROPN
ejpam-602	199	5	.	.	PUNCT
ejpam-602	200	1	(	(	PUNCT
ejpam-602	200	2	2	2	NUM
ejpam-602	200	3	)	)	PUNCT
ejpam-602	200	4	.	.	PUNCT
ejpam-602	201	1	2	2	NUM
ejpam-602	201	2	2	2	NUM
ejpam-602	201	3	1	1	NUM
ejpam-602	201	4	2	2	NUM
ejpam-602	201	5	1	1	NUM
ejpam-602	201	6	(	(	PUNCT
ejpam-602	201	7	)	)	PUNCT
ejpam-602	201	8	,	,	PUNCT
ejpam-602	201	9	1	1	NUM
ejpam-602	201	10	,	,	PUNCT
ejpam-602	201	11	2	2	NUM
ejpam-602	201	12	,	,	PUNCT
ejpam-602	201	13	...	...	PUNCT
ejpam-602	201	14	,	,	PUNCT
ejpam-602	201	15	(	(	PUNCT
ejpam-602	201	16	,	,	PUNCT
ejpam-602	201	17	2	2	X
ejpam-602	201	18	)	)	PUNCT
ejpam-602	201	19	n	n	NOUN
ejpam-602	202	1	i	i	PRON
ejpam-602	202	2	ij	ij	INTJ
ejpam-602	203	1	i	i	PRON
ejpam-602	203	2	nt	not	PART
ejpam-602	203	3	j	j	PROPN
ejpam-602	204	1	n	n	CCONJ
ejpam-602	204	2	i	i	PRON
ejpam-602	205	1	i	i	PRON
ejpam-602	205	2	nt	not	PART
ejpam-602	205	3	y	y	PROPN
ejpam-602	205	4	z	z	PROPN
ejpam-602	205	5	r	r	NOUN
ejpam-602	206	1	j	j	PROPN
ejpam-602	206	2	c	c	NOUN
ejpam-602	206	3	m	m	VERB
ejpam-602	206	4	y	y	NOUN
ejpam-602	206	5	=	=	PUNCT
ejpam-602	207	1	+	+	PUNCT
ejpam-602	207	2	=	=	SYM
ejpam-602	208	1	+	+	NUM
ejpam-602	208	2	−	−	NOUN
ejpam-602	208	3	=	=	SYM
ejpam-602	208	4	=	=	SYM
ejpam-602	208	5	∑	∑	PUNCT
ejpam-602	208	6	∑	∑	PUNCT
ejpam-602	208	7	(	(	PUNCT
ejpam-602	208	8	2	2	NUM
ejpam-602	208	9	)	)	PUNCT
ejpam-602	208	10	and	and	CCONJ
ejpam-602	208	11	then	then	ADV
ejpam-602	208	12	select	select	VERB
ejpam-602	208	13	those	those	DET
ejpam-602	208	14	columns	column	NOUN
ejpam-602	208	15	of	of	ADP
ejpam-602	208	16	z	z	NOUN
ejpam-602	208	17	that	that	PRON
ejpam-602	208	18	satisfy	satisfy	VERB
ejpam-602	208	19	jr	jr	PROPN
ejpam-602	209	1	r	r	NOUN
ejpam-602	209	2	<	<	X
ejpam-602	209	3	,	,	PUNCT
ejpam-602	209	4	where	where	SCONJ
ejpam-602	209	5	r	r	NOUN
ejpam-602	209	6	is	be	AUX
ejpam-602	209	7	some	some	DET
ejpam-602	209	8	prescribed	prescribed	ADJ
ejpam-602	209	9	number	number	NOUN
ejpam-602	209	10	.	.	PUNCT
ejpam-602	210	1	the	the	DET
ejpam-602	210	2	number	number	NOUN
ejpam-602	210	3	of	of	ADP
ejpam-602	210	4	columns	column	NOUN
ejpam-602	210	5	of	of	ADP
ejpam-602	210	6	z	z	NOUN
ejpam-602	210	7	that	that	PRON
ejpam-602	210	8	replace	replace	VERB
ejpam-602	210	9	columns	column	NOUN
ejpam-602	210	10	of	of	ADP
ejpam-602	210	11	x	x	PRON
ejpam-602	210	12	may	may	AUX
ejpam-602	210	13	be	be	AUX
ejpam-602	210	14	larger	large	ADJ
ejpam-602	210	15	or	or	CCONJ
ejpam-602	210	16	smaller	small	ADJ
ejpam-602	210	17	than	than	ADP
ejpam-602	210	18	the	the	DET
ejpam-602	210	19	number	number	NOUN
ejpam-602	210	20	of	of	ADP
ejpam-602	210	21	columns	column	NOUN
ejpam-602	210	22	of	of	ADP
ejpam-602	210	23	x	x	PRON
ejpam-602	210	24	,	,	PUNCT
ejpam-602	210	25	although	although	SCONJ
ejpam-602	210	26	often	often	ADV
ejpam-602	210	27	one	one	PRON
ejpam-602	210	28	keeps	keep	VERB
ejpam-602	210	29	the	the	DET
ejpam-602	210	30	number	number	NOUN
ejpam-602	210	31	of	of	ADP
ejpam-602	210	32	columns	column	NOUN
ejpam-602	210	33	of	of	ADP
ejpam-602	210	34	x	x	SYM
ejpam-602	210	35	constant	constant	ADJ
ejpam-602	210	36	at	at	ADP
ejpam-602	210	37	m.	m.	NOUN
ejpam-602	210	38	note	note	NOUN
ejpam-602	210	39	that	that	SCONJ
ejpam-602	210	40	the	the	DET
ejpam-602	210	41	test	test	NOUN
ejpam-602	210	42	of	of	ADP
ejpam-602	210	43	goodness	goodness	NOUN
ejpam-602	210	44	of	of	ADP
ejpam-602	210	45	fit	fit	PROPN
ejpam-602	210	46	jr	jr	PROPN
ejpam-602	210	47	was	be	AUX
ejpam-602	210	48	summed	sum	VERB
ejpam-602	210	49	over	over	ADP
ejpam-602	210	50	the	the	DET
ejpam-602	210	51	observation	observation	NOUN
ejpam-602	210	52	in	in	ADP
ejpam-602	210	53	the	the	DET
ejpam-602	210	54	checking	checking	NOUN
ejpam-602	210	55	set	set	NOUN
ejpam-602	210	56	.	.	PUNCT
ejpam-602	211	1	step	step	NOUN
ejpam-602	211	2	3	3	NUM
ejpam-602	211	3	(	(	PUNCT
ejpam-602	211	4	test	test	NOUN
ejpam-602	211	5	for	for	ADP
ejpam-602	211	6	optimality	optimality	NOUN
ejpam-602	211	7	)	)	PUNCT
ejpam-602	211	8	from	from	ADP
ejpam-602	211	9	step	step	NOUN
ejpam-602	211	10	2	2	NUM
ejpam-602	211	11	we	we	PRON
ejpam-602	211	12	find	find	VERB
ejpam-602	211	13	the	the	DET
ejpam-602	211	14	smallest	small	ADJ
ejpam-602	211	15	of	of	ADP
ejpam-602	211	16	the	the	DET
ejpam-602	211	17	'	'	PUNCT
ejpam-602	211	18	jr	jr	PROPN
ejpam-602	211	19	s	s	NOUN
ejpam-602	211	20	and	and	CCONJ
ejpam-602	211	21	call	call	VERB
ejpam-602	211	22	it	it	PRON
ejpam-602	211	23	rmin	rmin	NOUN
ejpam-602	211	24	.	.	PUNCT
ejpam-602	212	1	then	then	ADV
ejpam-602	212	2	,	,	PUNCT
ejpam-602	212	3	each	each	DET
ejpam-602	212	4	time	time	NOUN
ejpam-602	212	5	one	one	PRON
ejpam-602	212	6	completes	complete	VERB
ejpam-602	212	7	a	a	DET
ejpam-602	212	8	generation	generation	NOUN
ejpam-602	212	9	or	or	CCONJ
ejpam-602	212	10	iteration	iteration	NOUN
ejpam-602	212	11	,	,	PUNCT
ejpam-602	212	12	one	one	PRON
ejpam-602	212	13	plots	plot	VERB
ejpam-602	212	14	the	the	DET
ejpam-602	212	15	value	value	NOUN
ejpam-602	212	16	of	of	ADP
ejpam-602	212	17	rmin	rmin	NOUN
ejpam-602	212	18	on	on	ADP
ejpam-602	212	19	a	a	DET
ejpam-602	212	20	graph	graph	NOUN
ejpam-602	212	21	as	as	SCONJ
ejpam-602	212	22	shown	show	VERB
ejpam-602	212	23	in	in	ADP
ejpam-602	212	24	figure	figure	NOUN
ejpam-602	212	25	4	4	NUM
ejpam-602	212	26	.	.	PUNCT
ejpam-602	212	27	figure	figure	VERB
ejpam-602	212	28	4	4	NUM
ejpam-602	212	29	:	:	PUNCT
ejpam-602	212	30	determining	determine	VERB
ejpam-602	212	31	the	the	DET
ejpam-602	212	32	optimal	optimal	ADJ
ejpam-602	212	33	polynomial	polynomial	ADJ
ejpam-602	212	34	j.	j.	PROPN
ejpam-602	212	35	farlow	farlow	PROPN
ejpam-602	212	36	/	/	SYM
ejpam-602	212	37	eur	eur	PROPN
ejpam-602	212	38	.	.	PUNCT
ejpam-602	213	1	j.	j.	PROPN
ejpam-602	213	2	pure	pure	PROPN
ejpam-602	213	3	appl	appl	PROPN
ejpam-602	213	4	.	.	PUNCT
ejpam-602	214	1	math	math	NOUN
ejpam-602	214	2	167	167	NUM
ejpam-602	214	3	experiments	experiment	NOUN
ejpam-602	214	4	have	have	AUX
ejpam-602	214	5	shown	show	VERB
ejpam-602	214	6	that	that	SCONJ
ejpam-602	214	7	rmin	rmin	NOUN
ejpam-602	214	8	decreases	decrease	NOUN
ejpam-602	214	9	for	for	ADP
ejpam-602	214	10	a	a	DET
ejpam-602	214	11	few	few	ADJ
ejpam-602	214	12	generations	generation	NOUN
ejpam-602	214	13	(	(	PUNCT
ejpam-602	214	14	the	the	DET
ejpam-602	214	15	author	author	NOUN
ejpam-602	214	16	’s	’s	PART
ejpam-602	214	17	experience	experience	NOUN
ejpam-602	214	18	is	be	AUX
ejpam-602	214	19	maybe	maybe	ADV
ejpam-602	214	20	3	3	NUM
ejpam-602	214	21	-	-	SYM
ejpam-602	214	22	5	5	NUM
ejpam-602	214	23	iterations	iteration	NOUN
ejpam-602	214	24	)	)	PUNCT
ejpam-602	214	25	and	and	CCONJ
ejpam-602	214	26	then	then	ADV
ejpam-602	214	27	begins	begin	VERB
ejpam-602	214	28	to	to	PART
ejpam-602	214	29	increase	increase	VERB
ejpam-602	214	30	,	,	PUNCT
ejpam-602	214	31	the	the	DET
ejpam-602	214	32	reason	reason	NOUN
ejpam-602	214	33	being	be	AUX
ejpam-602	214	34	the	the	DET
ejpam-602	214	35	model	model	NOUN
ejpam-602	214	36	gets	get	VERB
ejpam-602	214	37	better	well	ADJ
ejpam-602	214	38	and	and	CCONJ
ejpam-602	214	39	better	well	ADV
ejpam-602	214	40	but	but	CCONJ
ejpam-602	214	41	eventually	eventually	ADV
ejpam-602	214	42	starts	start	VERB
ejpam-602	214	43	to	to	ADP
ejpam-602	214	44	over	over	ADP
ejpam-602	214	45	-	-	PUNCT
ejpam-602	214	46	fit	fit	VERB
ejpam-602	214	47	the	the	DET
ejpam-602	214	48	data	datum	NOUN
ejpam-602	214	49	.	.	PUNCT
ejpam-602	215	1	hence	hence	ADV
ejpam-602	215	2	,	,	PUNCT
ejpam-602	215	3	the	the	DET
ejpam-602	215	4	rule	rule	NOUN
ejpam-602	215	5	is	be	AUX
ejpam-602	215	6	to	to	PART
ejpam-602	215	7	stop	stop	VERB
ejpam-602	215	8	the	the	DET
ejpam-602	215	9	algorithm	algorithm	NOUN
ejpam-602	215	10	when	when	SCONJ
ejpam-602	215	11	the	the	DET
ejpam-602	215	12	rmin	rmin	ADJ
ejpam-602	215	13	curve	curve	NOUN
ejpam-602	215	14	reaches	reach	VERB
ejpam-602	215	15	its	its	PRON
ejpam-602	215	16	minimum	minimum	NOUN
ejpam-602	215	17	,	,	PUNCT
ejpam-602	215	18	and	and	CCONJ
ejpam-602	215	19	then	then	ADV
ejpam-602	215	20	select	select	VERB
ejpam-602	215	21	the	the	DET
ejpam-602	215	22	column	column	NOUN
ejpam-602	215	23	with	with	ADP
ejpam-602	215	24	the	the	DET
ejpam-602	215	25	minimum	minimum	ADJ
ejpam-602	215	26	jr	jr	PROPN
ejpam-602	215	27	value	value	NOUN
ejpam-602	215	28	of	of	ADP
ejpam-602	215	29	the	the	DET
ejpam-602	215	30	final	final	ADJ
ejpam-602	215	31	array	array	NOUN
ejpam-602	215	32	z	z	PROPN
ejpam-602	215	33	as	as	ADP
ejpam-602	215	34	the	the	DET
ejpam-602	215	35	best	good	ADJ
ejpam-602	215	36	predictor	predictor	NOUN
ejpam-602	215	37	.	.	PUNCT
ejpam-602	216	1	when	when	SCONJ
ejpam-602	216	2	the	the	DET
ejpam-602	216	3	gmdh	gmdh	ADJ
ejpam-602	216	4	algorithm	algorithm	NOUN
ejpam-602	216	5	stops	stop	VERB
ejpam-602	216	6	,	,	PUNCT
ejpam-602	216	7	the	the	DET
ejpam-602	216	8	columns	column	NOUN
ejpam-602	216	9	of	of	ADP
ejpam-602	216	10	z	z	PROPN
ejpam-602	216	11	(	(	PUNCT
ejpam-602	216	12	in	in	ADP
ejpam-602	216	13	particular	particular	ADJ
ejpam-602	216	14	the	the	DET
ejpam-602	216	15	column	column	NOUN
ejpam-602	216	16	of	of	ADP
ejpam-602	216	17	z	z	PROPN
ejpam-602	216	18	that	that	PRON
ejpam-602	216	19	has	have	VERB
ejpam-602	216	20	the	the	DET
ejpam-602	216	21	smallest	small	ADJ
ejpam-602	216	22	jr	jr	PROPN
ejpam-602	216	23	value	value	NOUN
ejpam-602	216	24	)	)	PUNCT
ejpam-602	216	25	contains	contain	VERB
ejpam-602	216	26	the	the	DET
ejpam-602	216	27	computed	computed	ADJ
ejpam-602	216	28	values	value	NOUN
ejpam-602	216	29	of	of	ADP
ejpam-602	216	30	a	a	DET
ejpam-602	216	31	high	high	ADJ
ejpam-602	216	32	-	-	PUNCT
ejpam-602	216	33	order	order	NOUN
ejpam-602	216	34	polynomial	polynomial	NOUN
ejpam-602	216	35	of	of	ADP
ejpam-602	216	36	the	the	DET
ejpam-602	216	37	form	form	NOUN
ejpam-602	216	38	in	in	ADP
ejpam-602	216	39	eq	eq	NOUN
ejpam-602	216	40	(	(	PUNCT
ejpam-602	216	41	3	3	NUM
ejpam-602	216	42	)	)	SYM
ejpam-602	216	43	1	1	NUM
ejpam-602	216	44	1	1	NUM
ejpam-602	216	45	1	1	NUM
ejpam-602	216	46	1	1	NUM
ejpam-602	216	47	1	1	NUM
ejpam-602	216	48	1	1	NUM
ejpam-602	216	49	1	1	NUM
ejpam-602	216	50	m	m	NOUN
ejpam-602	216	51	m	m	VERB
ejpam-602	216	52	m	m	VERB
ejpam-602	216	53	m	m	VERB
ejpam-602	216	54	m	m	VERB
ejpam-602	216	55	m	m	VERB
ejpam-602	217	1	i	i	PRON
ejpam-602	218	1	i	i	PRON
ejpam-602	219	1	ij	ij	VERB
ejpam-602	220	1	j	j	PROPN
ejpam-602	220	2	j	j	PROPN
ejpam-602	220	3	ijk	ijk	PROPN
ejpam-602	221	1	i	i	PRON
ejpam-602	221	2	j	j	PROPN
ejpam-602	222	1	k	k	INTJ
ejpam-602	222	2	i	i	PRON
ejpam-602	223	1	i	i	INTJ
ejpam-602	223	2	j	j	VERB
ejpam-602	224	1	i	i	PRON
ejpam-602	224	2	j	j	PROPN
ejpam-602	225	1	k	k	PROPN
ejpam-602	225	2	y	y	PROPN
ejpam-602	225	3	a	a	DET
ejpam-602	225	4	b	b	NOUN
ejpam-602	225	5	x	x	X
ejpam-602	225	6	c	c	NOUN
ejpam-602	225	7	x	x	SYM
ejpam-602	225	8	x	x	PUNCT
ejpam-602	225	9	d	d	NOUN
ejpam-602	225	10	x	x	X
ejpam-602	225	11	x	x	PUNCT
ejpam-602	225	12	x	x	PUNCT
ejpam-602	225	13	=	=	PUNCT
ejpam-602	225	14	=	=	PUNCT
ejpam-602	225	15	=	=	PUNCT
ejpam-602	225	16	=	=	PUNCT
ejpam-602	226	1	=	=	PUNCT
ejpam-602	226	2	=	=	PUNCT
ejpam-602	226	3	=	=	PUNCT
ejpam-602	227	1	+	+	PUNCT
ejpam-602	227	2	+	+	PUNCT
ejpam-602	228	1	+	+	X
ejpam-602	228	2	+	+	ADJ
ejpam-602	228	3	∑	∑	PROPN
ejpam-602	228	4	∑∑	∑∑	PROPN
ejpam-602	228	5	∑∑∑	∑∑∑	NOUN
ejpam-602	228	6			NOUN
ejpam-602	228	7	(	(	PUNCT
ejpam-602	228	8	3	3	NUM
ejpam-602	228	9	)	)	PUNCT
ejpam-602	228	10	known	know	VERB
ejpam-602	228	11	as	as	ADP
ejpam-602	228	12	the	the	DET
ejpam-602	228	13	ivakhnenko	ivakhnenko	NOUN
ejpam-602	228	14	polynomial	polynomial	NOUN
ejpam-602	228	15	.	.	PUNCT
ejpam-602	229	1	at	at	ADP
ejpam-602	229	2	each	each	DET
ejpam-602	229	3	iteration	iteration	NOUN
ejpam-602	229	4	the	the	DET
ejpam-602	229	5	degree	degree	NOUN
ejpam-602	229	6	of	of	ADP
ejpam-602	229	7	the	the	DET
ejpam-602	229	8	ivakhnenko	ivakhnenko	NOUN
ejpam-602	229	9	doubles	double	NOUN
ejpam-602	229	10	,	,	PUNCT
ejpam-602	229	11	and	and	CCONJ
ejpam-602	229	12	for	for	ADP
ejpam-602	229	13	a	a	DET
ejpam-602	229	14	p	p	NOUN
ejpam-602	229	15	-	-	PUNCT
ejpam-602	229	16	th	th	VERB
ejpam-602	229	17	order	order	NOUN
ejpam-602	229	18	regression	regression	NOUN
ejpam-602	229	19	polynomial	polynomial	ADJ
ejpam-602	229	20	the	the	DET
ejpam-602	229	21	number	number	NOUN
ejpam-602	229	22	of	of	ADP
ejpam-602	229	23	terms	term	NOUN
ejpam-602	229	24	in	in	ADP
ejpam-602	229	25	the	the	DET
ejpam-602	229	26	polynomial	polynomial	NOUN
ejpam-602	229	27	will	will	AUX
ejpam-602	229	28	be	be	AUX
ejpam-602	229	29	(	(	PUNCT
ejpam-602	229	30	1	1	NUM
ejpam-602	229	31	)	)	PUNCT
ejpam-602	229	32	(	(	PUNCT
ejpam-602	229	33	2	2	NUM
ejpam-602	229	34	)	)	PUNCT
ejpam-602	229	35	(	(	PUNCT
ejpam-602	229	36	)	)	PUNCT
ejpam-602	229	37	/	/	PUNCT
ejpam-602	229	38	!	!	PUNCT
ejpam-602	230	1	m	m	VERB
ejpam-602	230	2	m	m	VERB
ejpam-602	230	3	m	m	VERB
ejpam-602	230	4	p	p	NOUN
ejpam-602	230	5	m+	m+	NOUN
ejpam-602	231	1	+	+	CCONJ
ejpam-602	232	1	+	+	NOUN
ejpam-602	232	2			NOUN
ejpam-602	232	3	.	.	PUNCT
ejpam-602	233	1	for	for	ADP
ejpam-602	233	2	example	example	NOUN
ejpam-602	233	3	,	,	PUNCT
ejpam-602	233	4	if	if	SCONJ
ejpam-602	233	5	one	one	PRON
ejpam-602	233	6	starts	start	VERB
ejpam-602	233	7	with	with	ADP
ejpam-602	233	8	10	10	NUM
ejpam-602	233	9	m	m	NOUN
ejpam-602	233	10	=	=	NOUN
ejpam-602	233	11	input	input	NOUN
ejpam-602	233	12	variables	variable	VERB
ejpam-602	233	13	1	1	NUM
ejpam-602	233	14	2	2	NUM
ejpam-602	233	15	10	10	NUM
ejpam-602	233	16	,	,	PUNCT
ejpam-602	233	17	,	,	PUNCT
ejpam-602	233	18	...	...	PUNCT
ejpam-602	233	19	,	,	PUNCT
ejpam-602	233	20	x	x	PUNCT
ejpam-602	233	21	x	x	PUNCT
ejpam-602	233	22	x	x	X
ejpam-602	233	23	and	and	CCONJ
ejpam-602	233	24	the	the	DET
ejpam-602	233	25	algorithm	algorithm	NOUN
ejpam-602	233	26	is	be	AUX
ejpam-602	233	27	continued	continue	VERB
ejpam-602	233	28	for	for	ADP
ejpam-602	233	29	8	8	NUM
ejpam-602	233	30	generations	generation	NOUN
ejpam-602	233	31	,	,	PUNCT
ejpam-602	233	32	the	the	DET
ejpam-602	233	33	ivakhnenko	ivakhnenko	NOUN
ejpam-602	233	34	polynomial	polynomial	NOUN
ejpam-602	233	35	would	would	AUX
ejpam-602	233	36	be	be	AUX
ejpam-602	233	37	a	a	DET
ejpam-602	233	38	polynomial	polynomial	NOUN
ejpam-602	233	39	in	in	ADP
ejpam-602	233	40	1	1	NUM
ejpam-602	233	41	2	2	NUM
ejpam-602	233	42	,	,	PUNCT
ejpam-602	233	43	,	,	PUNCT
ejpam-602	233	44	...	...	PUNCT
ejpam-602	233	45	,	,	PUNCT
ejpam-602	233	46	mx	mx	PROPN
ejpam-602	233	47	x	x	SYM
ejpam-602	233	48	x	x	PROPN
ejpam-602	233	49	of	of	ADP
ejpam-602	233	50	degree	degree	NOUN
ejpam-602	233	51	82	82	NUM
ejpam-602	233	52	256=	256=	NOUN
ejpam-602	233	53	.	.	PUNCT
ejpam-602	234	1	a	a	DET
ejpam-602	234	2	sample	sample	NOUN
ejpam-602	234	3	term	term	NOUN
ejpam-602	234	4	might	might	AUX
ejpam-602	234	5	involve	involve	VERB
ejpam-602	234	6	the	the	DET
ejpam-602	234	7	variables	variable	NOUN
ejpam-602	234	8	2	2	NUM
ejpam-602	234	9	4	4	NUM
ejpam-602	234	10	9	9	NUM
ejpam-602	234	11	11	11	NUM
ejpam-602	234	12	9	9	NUM
ejpam-602	234	13	3	3	NUM
ejpam-602	234	14	1	1	NUM
ejpam-602	234	15	3	3	NUM
ejpam-602	234	16	4	4	NUM
ejpam-602	234	17	6	6	NUM
ejpam-602	234	18	7	7	NUM
ejpam-602	234	19	10x	10x	NOUN
ejpam-602	234	20	x	x	PUNCT
ejpam-602	234	21	x	x	PUNCT
ejpam-602	234	22	x	x	PUNCT
ejpam-602	234	23	x	x	SYM
ejpam-602	234	24	x	x	X
ejpam-602	234	25	.	.	PUNCT
ejpam-602	235	1	step	step	NOUN
ejpam-602	235	2	4	4	NUM
ejpam-602	235	3	(	(	PUNCT
ejpam-602	235	4	applying	apply	VERB
ejpam-602	235	5	the	the	DET
ejpam-602	235	6	results	result	NOUN
ejpam-602	235	7	of	of	ADP
ejpam-602	235	8	the	the	DET
ejpam-602	235	9	gmdh	gmdh	ADJ
ejpam-602	235	10	algorithm	algorithm	NOUN
ejpam-602	235	11	)	)	PUNCT
ejpam-602	236	1	one	one	NOUN
ejpam-602	236	2	does	do	AUX
ejpam-602	236	3	n’t	not	PART
ejpam-602	236	4	actually	actually	ADV
ejpam-602	236	5	compute	compute	VERB
ejpam-602	236	6	the	the	DET
ejpam-602	236	7	coefficients	coefficient	NOUN
ejpam-602	236	8	in	in	ADP
ejpam-602	236	9	the	the	DET
ejpam-602	236	10	ivakhenko	ivakhenko	NOUN
ejpam-602	236	11	polynomial	polynomial	NOUN
ejpam-602	236	12	,	,	PUNCT
ejpam-602	236	13	but	but	CCONJ
ejpam-602	236	14	saves	save	VERB
ejpam-602	236	15	the	the	DET
ejpam-602	236	16	regression	regression	NOUN
ejpam-602	236	17	coefficients	coefficient	NOUN
ejpam-602	236	18	a	a	DET
ejpam-602	236	19	,	,	PUNCT
ejpam-602	236	20	b	b	NOUN
ejpam-602	236	21	,	,	PUNCT
ejpam-602	236	22	c	c	NOUN
ejpam-602	236	23	,	,	PUNCT
ejpam-602	236	24	d	d	NOUN
ejpam-602	236	25	,	,	PUNCT
ejpam-602	236	26	e	e	NOUN
ejpam-602	236	27	,	,	PUNCT
ejpam-602	236	28	f	f	X
ejpam-602	236	29	at	at	ADP
ejpam-602	236	30	each	each	DET
ejpam-602	236	31	generation	generation	NOUN
ejpam-602	236	32	.	.	PUNCT
ejpam-602	237	1	hence	hence	ADV
ejpam-602	237	2	,	,	PUNCT
ejpam-602	237	3	to	to	PART
ejpam-602	237	4	evaluate	evaluate	VERB
ejpam-602	237	5	the	the	DET
ejpam-602	237	6	ivakhnenko	ivakhnenko	ADJ
ejpam-602	237	7	polynomial	polynomial	ADJ
ejpam-602	237	8	one	one	NOUN
ejpam-602	237	9	simply	simply	ADV
ejpam-602	237	10	carries	carry	VERB
ejpam-602	237	11	out	out	ADP
ejpam-602	237	12	repeated	repeat	VERB
ejpam-602	237	13	compositions	composition	NOUN
ejpam-602	237	14	of	of	ADP
ejpam-602	237	15	these	these	DET
ejpam-602	237	16	quadratic	quadratic	ADJ
ejpam-602	237	17	expressions	expression	NOUN
ejpam-602	237	18	.	.	PUNCT
ejpam-602	238	1	figure	figure	NOUN
ejpam-602	238	2	5	5	NUM
ejpam-602	238	3	illustrates	illustrate	VERB
ejpam-602	238	4	this	this	DET
ejpam-602	238	5	process	process	NOUN
ejpam-602	238	6	.	.	PUNCT
ejpam-602	239	1	figure	figure	VERB
ejpam-602	239	2	5	5	NUM
ejpam-602	239	3	:	:	PUNCT
ejpam-602	239	4	evaluation	evaluation	NOUN
ejpam-602	239	5	of	of	ADP
ejpam-602	239	6	the	the	DET
ejpam-602	239	7	ivankhenko	ivankhenko	ADJ
ejpam-602	239	8	polynomial	polynomial	PROPN
ejpam-602	239	9	j.	j.	PROPN
ejpam-602	239	10	farlow	farlow	PROPN
ejpam-602	239	11	/	/	SYM
ejpam-602	239	12	eur	eur	PROPN
ejpam-602	239	13	.	.	PUNCT
ejpam-602	240	1	j.	j.	PROPN
ejpam-602	240	2	pure	pure	PROPN
ejpam-602	240	3	appl	appl	PROPN
ejpam-602	240	4	.	.	PUNCT
ejpam-602	241	1	math	math	NOUN
ejpam-602	241	2	168	168	NUM
ejpam-602	241	3	3	3	NUM
ejpam-602	241	4	.	.	PUNCT
ejpam-602	242	1	gmdh	gmdh	PROPN
ejpam-602	242	2	algorithm	algorithm	PROPN
ejpam-602	242	3	applied	apply	VERB
ejpam-602	242	4	to	to	ADP
ejpam-602	242	5	logic	logic	NOUN
ejpam-602	242	6	regression	regression	NOUN
ejpam-602	242	7	step	step	NOUN
ejpam-602	242	8	1	1	NUM
ejpam-602	242	9	:	:	PUNCT
ejpam-602	242	10	(	(	PUNCT
ejpam-602	242	11	divide	divide	VERB
ejpam-602	242	12	observations	observation	NOUN
ejpam-602	242	13	into	into	ADP
ejpam-602	242	14	training	training	NOUN
ejpam-602	242	15	and	and	CCONJ
ejpam-602	242	16	checking	checking	NOUN
ejpam-602	242	17	sets	set	NOUN
ejpam-602	242	18	)	)	PUNCT
ejpam-602	242	19	starting	start	VERB
ejpam-602	242	20	with	with	ADP
ejpam-602	242	21	n	n	PRON
ejpam-602	242	22	observations	observation	NOUN
ejpam-602	242	23	of	of	ADP
ejpam-602	242	24	m	m	PROPN
ejpam-602	242	25	boolean	boolean	ADJ
ejpam-602	242	26	predictor	predictor	NOUN
ejpam-602	242	27	variables	variable	VERB
ejpam-602	242	28	1	1	NUM
ejpam-602	242	29	2	2	NUM
ejpam-602	242	30	,	,	PUNCT
ejpam-602	242	31	,	,	PUNCT
ejpam-602	242	32	...	...	PUNCT
ejpam-602	242	33	,	,	PUNCT
ejpam-602	242	34	mx	mx	PROPN
ejpam-602	242	35	x	x	SYM
ejpam-602	242	36	x	x	X
ejpam-602	242	37	and	and	CCONJ
ejpam-602	242	38	a	a	DET
ejpam-602	242	39	dependent	dependent	ADJ
ejpam-602	242	40	boolean	boolean	ADJ
ejpam-602	242	41	variable	variable	ADJ
ejpam-602	242	42	y	y	PROPN
ejpam-602	242	43	,	,	PUNCT
ejpam-602	242	44	we	we	PRON
ejpam-602	242	45	subdivide	subdivide	VERB
ejpam-602	242	46	the	the	DET
ejpam-602	242	47	observations	observation	NOUN
ejpam-602	242	48	into	into	ADP
ejpam-602	242	49	nt	not	PART
ejpam-602	242	50	training	train	VERB
ejpam-602	242	51	set	set	VERB
ejpam-602	242	52	observations	observation	NOUN
ejpam-602	242	53	and	and	CCONJ
ejpam-602	242	54	nc	nc	PROPN
ejpam-602	242	55	n	n	ADV
ejpam-602	242	56	nt=	nt=	PROPN
ejpam-602	242	57	−	−	PROPN
ejpam-602	242	58	checking	check	VERB
ejpam-602	242	59	set	set	NOUN
ejpam-602	242	60	observations	observation	NOUN
ejpam-602	242	61	.	.	PUNCT
ejpam-602	243	1	for	for	ADP
ejpam-602	243	2	each	each	PRON
ejpam-602	243	3	of	of	ADP
ejpam-602	243	4	the	the	DET
ejpam-602	243	5	(	(	PUNCT
ejpam-602	243	6	1	1	NUM
ejpam-602	243	7	)	)	SYM
ejpam-602	243	8	2	2	NUM
ejpam-602	243	9	2	2	NUM
ejpam-602	243	10	m	m	NOUN
ejpam-602	243	11	m	m	VERB
ejpam-602	243	12	m	m	PROPN
ejpam-602	243	13			PUNCT
ejpam-602	244	1	−	−	PUNCT
ejpam-602	245	1	=	=	NOUN
ejpam-602	245	2			NOUN
ejpam-602	245	3			VERB
ejpam-602	245	4			PRON
ejpam-602	245	5			PUNCT
ejpam-602	246	1	distinct	distinct	ADJ
ejpam-602	246	2	pairs	pair	NOUN
ejpam-602	246	3	{	{	PUNCT
ejpam-602	246	4	}	}	PUNCT
ejpam-602	246	5	,	,	PUNCT
ejpam-602	246	6	:	:	PUNCT
ejpam-602	246	7	1	1	NUM
ejpam-602	246	8	,	,	PUNCT
ejpam-602	246	9	..	..	PUNCT
ejpam-602	246	10	1	1	NUM
ejpam-602	246	11	,	,	PUNCT
ejpam-602	246	12	1,i	1,i	NUM
ejpam-602	246	13	jx	jx	NOUN
ejpam-602	246	14	x	x	VERB
ejpam-602	246	15	i	i	PRON
ejpam-602	246	16	m	m	VERB
ejpam-602	246	17	j	j	NOUN
ejpam-602	246	18	i	i	PRON
ejpam-602	246	19	m=	m=	VERB
ejpam-602	246	20	−	−	PROPN
ejpam-602	247	1	=	=	SYM
ejpam-602	247	2	+	+	CCONJ
ejpam-602	247	3	of	of	ADP
ejpam-602	247	4	predictor	predictor	NOUN
ejpam-602	247	5	variables	variable	NOUN
ejpam-602	247	6	,	,	PUNCT
ejpam-602	247	7	we	we	PRON
ejpam-602	247	8	find	find	VERB
ejpam-602	247	9	the	the	DET
ejpam-602	247	10	logical	logical	ADJ
ejpam-602	247	11	function	function	NOUN
ejpam-602	247	12	that	that	PRON
ejpam-602	247	13	best	good	ADJ
ejpam-602	247	14	predicts	predict	VERB
ejpam-602	247	15	the	the	DET
ejpam-602	247	16	dependent	dependent	ADJ
ejpam-602	247	17	variable	variable	ADJ
ejpam-602	247	18	y	y	NOUN
ejpam-602	247	19	from	from	ADP
ejpam-602	247	20	among	among	ADP
ejpam-602	247	21	the	the	DET
ejpam-602	247	22	16	16	NUM
ejpam-602	247	23	binary	binary	NOUN
ejpam-602	247	24	functions	function	NOUN
ejpam-602	247	25	in	in	ADP
ejpam-602	247	26	table	table	NOUN
ejpam-602	247	27	1	1	NUM
ejpam-602	247	28	.	.	PUNCT
ejpam-602	247	29	table	table	NOUN
ejpam-602	247	30	1	1	NUM
ejpam-602	247	31	:	:	PUNCT
ejpam-602	247	32	sixteen	sixteen	NUM
ejpam-602	247	33	boolean	boolean	ADJ
ejpam-602	247	34	functions	function	NOUN
ejpam-602	247	35	0(0000	0(0000	NUM
ejpam-602	247	36	)	)	PUNCT
ejpam-602	247	37	ffff	ffff	NOUN
ejpam-602	247	38	never	never	ADV
ejpam-602	247	39	true	true	ADJ
ejpam-602	247	40	----	----	PUNCT
ejpam-602	247	41	1(0001	1(0001	NUM
ejpam-602	247	42	)	)	PUNCT
ejpam-602	247	43	ffft	ffft	NOUN
ejpam-602	247	44	not	not	PART
ejpam-602	247	45	(	(	PUNCT
ejpam-602	247	46	1x	1x	NUM
ejpam-602	247	47	or	or	CCONJ
ejpam-602	247	48	2x	2x	NUM
ejpam-602	247	49	)	)	PUNCT
ejpam-602	247	50	1	1	NUM
ejpam-602	247	51	2x	2x	NUM
ejpam-602	247	52	x∧	x∧	PROPN
ejpam-602	247	53	2(0010	2(0010	NUM
ejpam-602	247	54	)	)	PUNCT
ejpam-602	247	55	fftf	fftf	NOUN
ejpam-602	247	56	2x	2x	NUM
ejpam-602	247	57	but	but	CCONJ
ejpam-602	247	58	not	not	PART
ejpam-602	247	59	1x	1x	NUM
ejpam-602	247	60	1	1	NUM
ejpam-602	247	61	2x	2x	NUM
ejpam-602	247	62	x∧	x∧	PROPN
ejpam-602	247	63	3(0011	3(0011	NUM
ejpam-602	247	64	)	)	PUNCT
ejpam-602	247	65	fftt	fftt	NOUN
ejpam-602	247	66	not	not	PART
ejpam-602	247	67	1x	1x	NOUN
ejpam-602	247	68	1x	1x	NUM
ejpam-602	247	69	4(0100	4(0100	X
ejpam-602	247	70	)	)	PUNCT
ejpam-602	247	71	ftff	ftff	NOUN
ejpam-602	247	72	1x	1x	NOUN
ejpam-602	247	73	but	but	CCONJ
ejpam-602	247	74	not	not	PART
ejpam-602	247	75	2x	2x	NUM
ejpam-602	247	76	1	1	NUM
ejpam-602	247	77	2x	2x	NUM
ejpam-602	248	1	x∧	x∧	PROPN
ejpam-602	248	2	5(0101	5(0101	X
ejpam-602	248	3	)	)	PUNCT
ejpam-602	248	4	ftft	ftft	VERB
ejpam-602	248	5	not	not	PART
ejpam-602	248	6	2x	2x	NUM
ejpam-602	248	7	2x	2x	NUM
ejpam-602	248	8	6(0110	6(0110	NUM
ejpam-602	248	9	)	)	PUNCT
ejpam-602	248	10	fttf	fttf	NOUN
ejpam-602	248	11	1x	1x	NOUN
ejpam-602	248	12	or	or	CCONJ
ejpam-602	248	13	2x	2x	NUM
ejpam-602	248	14	but	but	CCONJ
ejpam-602	248	15	not	not	PART
ejpam-602	248	16	both	both	DET
ejpam-602	248	17	1	1	NUM
ejpam-602	248	18	2x	2x	NUM
ejpam-602	248	19	x∨	x∨	PROPN
ejpam-602	248	20	7(0111	7(0111	NUM
ejpam-602	248	21	)	)	PUNCT
ejpam-602	248	22	fttt	fttt	NOUN
ejpam-602	248	23	not	not	PART
ejpam-602	248	24	(	(	PUNCT
ejpam-602	248	25	1x	1x	NUM
ejpam-602	248	26	and	and	CCONJ
ejpam-602	248	27	2x	2x	NUM
ejpam-602	248	28	)	)	PUNCT
ejpam-602	248	29	1	1	NUM
ejpam-602	248	30	2x	2x	NUM
ejpam-602	248	31	x∨	x∨	PROPN
ejpam-602	248	32	8(1000	8(1000	NUM
ejpam-602	248	33	)	)	PUNCT
ejpam-602	248	34	tfff	tfff	NOUN
ejpam-602	248	35	1x	1x	NOUN
ejpam-602	248	36	and	and	CCONJ
ejpam-602	248	37	2x	2x	NUM
ejpam-602	248	38	1	1	NUM
ejpam-602	248	39	2x	2x	NUM
ejpam-602	248	40	x∧	x∧	PROPN
ejpam-602	248	41	9(1001	9(1001	NUM
ejpam-602	248	42	)	)	PUNCT
ejpam-602	248	43	tfft	tfft	NOUN
ejpam-602	248	44	1x	1x	PRON
ejpam-602	248	45	is	be	AUX
ejpam-602	248	46	2x	2x	NUM
ejpam-602	248	47	1	1	NUM
ejpam-602	248	48	2x	2x	NOUN
ejpam-602	248	49	x≡	x≡	ADP
ejpam-602	248	50	10(1010	10(1010	NUM
ejpam-602	248	51	)	)	PUNCT
ejpam-602	248	52	tftf	tftf	NOUN
ejpam-602	248	53	2x	2x	NUM
ejpam-602	248	54	2x	2x	NUM
ejpam-602	248	55	11(1011	11(1011	NUM
ejpam-602	248	56	)	)	PUNCT
ejpam-602	248	57	tftt	tftt	ADV
ejpam-602	249	1	if	if	SCONJ
ejpam-602	249	2	1x	1x	PROPN
ejpam-602	249	3	then	then	ADV
ejpam-602	249	4	2x	2x	NUM
ejpam-602	249	5	1	1	NUM
ejpam-602	249	6	2x	2x	NUM
ejpam-602	249	7	x⇒	x⇒	X
ejpam-602	249	8	12(1100	12(1100	X
ejpam-602	249	9	)	)	PUNCT
ejpam-602	249	10	ttff	ttff	PROPN
ejpam-602	249	11	1x	1x	PROPN
ejpam-602	249	12	1x	1x	PROPN
ejpam-602	249	13	13(1101	13(1101	NUM
ejpam-602	249	14	)	)	PUNCT
ejpam-602	249	15	ttft	ttft	NOUN
ejpam-602	249	16	if	if	SCONJ
ejpam-602	249	17	2x	2x	NUM
ejpam-602	249	18	then	then	ADV
ejpam-602	249	19	1x	1x	NUM
ejpam-602	249	20	1	1	NUM
ejpam-602	249	21	2x	2x	NUM
ejpam-602	249	22	x	x	X
ejpam-602	249	23	⇐	⇐	NOUN
ejpam-602	249	24	14(1110	14(1110	NUM
ejpam-602	249	25	)	)	PUNCT
ejpam-602	249	26	tttf	tttf	NOUN
ejpam-602	249	27	1x	1x	NOUN
ejpam-602	249	28	or	or	CCONJ
ejpam-602	249	29	2x	2x	NUM
ejpam-602	249	30	1	1	NUM
ejpam-602	249	31	2x	2x	NUM
ejpam-602	249	32	x∨	x∨	PROPN
ejpam-602	249	33	16(1111	16(1111	NUM
ejpam-602	249	34	)	)	PUNCT
ejpam-602	249	35	tttt	tttt	NOUN
ejpam-602	249	36	always	always	ADV
ejpam-602	249	37	true	true	ADJ
ejpam-602	249	38	----	----	PUNCT
ejpam-602	249	39	we	we	PRON
ejpam-602	249	40	illustrate	illustrate	VERB
ejpam-602	249	41	the	the	DET
ejpam-602	249	42	process	process	NOUN
ejpam-602	249	43	with	with	ADP
ejpam-602	249	44	the	the	DET
ejpam-602	249	45	data	datum	NOUN
ejpam-602	249	46	set	set	VERB
ejpam-602	249	47	in	in	ADP
ejpam-602	249	48	table	table	NOUN
ejpam-602	249	49	2	2	NUM
ejpam-602	249	50	,	,	PUNCT
ejpam-602	249	51	which	which	PRON
ejpam-602	249	52	has	have	VERB
ejpam-602	249	53	7n	7n	NUM
ejpam-602	249	54	=	=	SYM
ejpam-602	249	55	total	total	ADJ
ejpam-602	249	56	observations	observation	NOUN
ejpam-602	249	57	,	,	PUNCT
ejpam-602	249	58	4nt	4nt	NOUN
ejpam-602	249	59	=	=	NOUN
ejpam-602	249	60	training	training	NOUN
ejpam-602	249	61	observations	observation	NOUN
ejpam-602	249	62	,	,	PUNCT
ejpam-602	249	63	7	7	NUM
ejpam-602	249	64	4	4	NUM
ejpam-602	249	65	3nc	3nc	NOUN
ejpam-602	249	66	n	n	CCONJ
ejpam-602	249	67	nt=	nt=	NOUN
ejpam-602	249	68	−	−	PROPN
ejpam-602	250	1	=	=	PUNCT
ejpam-602	251	1	−	−	PROPN
ejpam-602	251	2	=	=	PUNCT
ejpam-602	251	3	,	,	PUNCT
ejpam-602	251	4	and	and	CCONJ
ejpam-602	251	5	4	4	NUM
ejpam-602	251	6	m	m	NOUN
ejpam-602	251	7	=	=	VERB
ejpam-602	251	8	variables	variable	NOUN
ejpam-602	251	9	j.	j.	PROPN
ejpam-602	251	10	farlow	farlow	PROPN
ejpam-602	251	11	/	/	SYM
ejpam-602	251	12	eur	eur	PROPN
ejpam-602	251	13	.	.	PUNCT
ejpam-602	252	1	j.	j.	PROPN
ejpam-602	252	2	pure	pure	PROPN
ejpam-602	252	3	appl	appl	PROPN
ejpam-602	252	4	.	.	PUNCT
ejpam-602	253	1	math	math	NOUN
ejpam-602	253	2	169	169	NUM
ejpam-602	253	3	table	table	NOUN
ejpam-602	253	4	2	2	NUM
ejpam-602	253	5	:	:	PUNCT
ejpam-602	253	6	sample	sample	NOUN
ejpam-602	253	7	data	datum	NOUN
ejpam-602	253	8	training	training	NOUN
ejpam-602	253	9	set	set	NOUN
ejpam-602	253	10	---------	---------	PUNCT
ejpam-602	253	11	checking	check	VERB
ejpam-602	253	12	set	set	NOUN
ejpam-602	253	13	y	y	PROPN
ejpam-602	253	14	1x	1x	NUM
ejpam-602	253	15	2x	2x	NUM
ejpam-602	254	1	3x	3x	NUM
ejpam-602	254	2	4x	4x	NOUN
ejpam-602	254	3	1	1	NUM
ejpam-602	254	4	0	0	NUM
ejpam-602	254	5	0	0	NUM
ejpam-602	254	6	1	1	NUM
ejpam-602	254	7	0	0	NUM
ejpam-602	254	8	0	0	NUM
ejpam-602	254	9	1	1	NUM
ejpam-602	254	10	0	0	NUM
ejpam-602	254	11	0	0	NUM
ejpam-602	254	12	1	1	NUM
ejpam-602	254	13	0	0	NUM
ejpam-602	254	14	0	0	NUM
ejpam-602	254	15	1	1	NUM
ejpam-602	254	16	1	1	NUM
ejpam-602	254	17	1	1	NUM
ejpam-602	254	18	1	1	NUM
ejpam-602	254	19	1	1	NUM
ejpam-602	254	20	1	1	NUM
ejpam-602	254	21	0	0	NUM
ejpam-602	254	22	1	1	NUM
ejpam-602	254	23	1	1	NUM
ejpam-602	254	24	0	0	NUM
ejpam-602	254	25	1	1	NUM
ejpam-602	254	26	0	0	NUM
ejpam-602	254	27	1	1	NUM
ejpam-602	254	28	0	0	NUM
ejpam-602	254	29	1	1	NUM
ejpam-602	254	30	0	0	NUM
ejpam-602	254	31	0	0	NUM
ejpam-602	254	32	1	1	NUM
ejpam-602	254	33	0	0	NUM
ejpam-602	254	34	0	0	NUM
ejpam-602	254	35	0	0	NUM
ejpam-602	254	36	1	1	NUM
ejpam-602	254	37	1	1	NUM
ejpam-602	254	38	note	note	NOUN
ejpam-602	254	39	that	that	SCONJ
ejpam-602	254	40	the	the	DET
ejpam-602	254	41	dependent	dependent	ADJ
ejpam-602	254	42	variable	variable	NOUN
ejpam-602	254	43	1x	1x	NUM
ejpam-602	254	44	did	do	AUX
ejpam-602	254	45	not	not	PART
ejpam-602	254	46	predict	predict	VERB
ejpam-602	254	47	y	y	PROPN
ejpam-602	254	48	in	in	ADP
ejpam-602	254	49	the	the	DET
ejpam-602	254	50	firstand	firstand	NOUN
ejpam-602	254	51	second	second	ADJ
ejpam-602	254	52	observations	observation	NOUN
ejpam-602	254	53	(	(	PUNCT
ejpam-602	254	54	1s	1	NOUN
ejpam-602	254	55	and	and	CCONJ
ejpam-602	254	56	0s	0s	NOUN
ejpam-602	254	57	do	do	AUX
ejpam-602	254	58	not	not	PART
ejpam-602	254	59	match	match	VERB
ejpam-602	254	60	)	)	PUNCT
ejpam-602	254	61	,	,	PUNCT
ejpam-602	254	62	but	but	CCONJ
ejpam-602	254	63	do	do	AUX
ejpam-602	254	64	predict	predict	VERB
ejpam-602	254	65	y	y	PROPN
ejpam-602	254	66	in	in	ADP
ejpam-602	254	67	the	the	DET
ejpam-602	254	68	3rd	3rd	ADJ
ejpam-602	254	69	and	and	CCONJ
ejpam-602	254	70	4th	4th	ADJ
ejpam-602	254	71	observations	observation	NOUN
ejpam-602	254	72	(	(	PUNCT
ejpam-602	254	73	1s	1s	NUM
ejpam-602	254	74	and	and	CCONJ
ejpam-602	254	75	0s	0s	NUM
ejpam-602	254	76	match	match	NOUN
ejpam-602	254	77	)	)	PUNCT
ejpam-602	254	78	.	.	PUNCT
ejpam-602	255	1	note	note	VERB
ejpam-602	255	2	,	,	PUNCT
ejpam-602	255	3	too	too	ADV
ejpam-602	255	4	that	that	SCONJ
ejpam-602	255	5	the	the	DET
ejpam-602	255	6	logical	logical	ADJ
ejpam-602	255	7	relation	relation	NOUN
ejpam-602	255	8	1	1	NUM
ejpam-602	255	9	2x	2x	NUM
ejpam-602	255	10	x∧	x∧	PROPN
ejpam-602	255	11	correctly	correctly	ADV
ejpam-602	255	12	predicts	predict	VERB
ejpam-602	255	13	y	y	PRON
ejpam-602	255	14	in	in	ADP
ejpam-602	255	15	the	the	DET
ejpam-602	255	16	1st	1st	ADJ
ejpam-602	255	17	,	,	PUNCT
ejpam-602	255	18	2nd	2nd	ADJ
ejpam-602	255	19	,	,	PUNCT
ejpam-602	255	20	and	and	CCONJ
ejpam-602	255	21	3rd	3rd	ADJ
ejpam-602	255	22	observations	observation	NOUN
ejpam-602	255	23	,	,	PUNCT
ejpam-602	255	24	but	but	CCONJ
ejpam-602	255	25	not	not	PART
ejpam-602	255	26	the	the	DET
ejpam-602	255	27	4th	4th	ADJ
ejpam-602	255	28	,	,	PUNCT
ejpam-602	255	29	hence	hence	ADV
ejpam-602	255	30	the	the	DET
ejpam-602	255	31	recorded	record	VERB
ejpam-602	255	32	values	value	NOUN
ejpam-602	255	33	1	1	NUM
ejpam-602	255	34	,	,	PUNCT
ejpam-602	255	35	1	1	NUM
ejpam-602	255	36	,	,	PUNCT
ejpam-602	255	37	1	1	NUM
ejpam-602	255	38	,	,	PUNCT
ejpam-602	255	39	and	and	CCONJ
ejpam-602	255	40	0	0	NUM
ejpam-602	255	41	in	in	ADP
ejpam-602	255	42	the	the	DET
ejpam-602	255	43	respective	respective	ADJ
ejpam-602	255	44	column	column	NOUN
ejpam-602	255	45	,	,	PUNCT
ejpam-602	255	46	and	and	CCONJ
ejpam-602	255	47	a	a	DET
ejpam-602	255	48	3	3	NUM
ejpam-602	255	49	in	in	ADP
ejpam-602	255	50	the	the	DET
ejpam-602	255	51	bottom	bottom	NOUN
ejpam-602	255	52	row	row	NOUN
ejpam-602	255	53	illustrating	illustrate	VERB
ejpam-602	255	54	the	the	DET
ejpam-602	255	55	number	number	NOUN
ejpam-602	255	56	of	of	ADP
ejpam-602	255	57	correct	correct	ADJ
ejpam-602	255	58	predictions	prediction	NOUN
ejpam-602	255	59	.	.	PUNCT
ejpam-602	256	1	if	if	SCONJ
ejpam-602	256	2	one	one	PRON
ejpam-602	256	3	carries	carry	VERB
ejpam-602	256	4	out	out	ADP
ejpam-602	256	5	this	this	DET
ejpam-602	256	6	analysis	analysis	NOUN
ejpam-602	256	7	for	for	ADP
ejpam-602	256	8	all	all	DET
ejpam-602	256	9	16	16	NUM
ejpam-602	256	10	logical	logical	ADJ
ejpam-602	256	11	expressions	expression	NOUN
ejpam-602	256	12	of	of	ADP
ejpam-602	256	13	1	1	NUM
ejpam-602	256	14	2,x	2,x	NUM
ejpam-602	256	15	x	x	SYM
ejpam-602	256	16	,	,	PUNCT
ejpam-602	256	17	one	one	NUM
ejpam-602	256	18	arrives	arrive	VERB
ejpam-602	256	19	at	at	ADP
ejpam-602	256	20	the	the	DET
ejpam-602	256	21	results	result	NOUN
ejpam-602	256	22	in	in	ADP
ejpam-602	256	23	table	table	NOUN
ejpam-602	256	24	3	3	NUM
ejpam-602	256	25	.	.	PUNCT
ejpam-602	256	26	table	table	NOUN
ejpam-602	256	27	3	3	NUM
ejpam-602	256	28	:	:	PUNCT
ejpam-602	256	29	correct	correct	ADJ
ejpam-602	256	30	and	and	CCONJ
ejpam-602	256	31	incorrect	incorrect	ADJ
ejpam-602	256	32	predictions	prediction	NOUN
ejpam-602	256	33	of	of	ADP
ejpam-602	256	34	y	y	PROPN
ejpam-602	256	35	from	from	ADP
ejpam-602	256	36	1	1	NUM
ejpam-602	256	37	2,x	2,x	NUM
ejpam-602	256	38	x	x	SYM
ejpam-602	256	39	.	.	PROPN
ejpam-602	256	40	0	0	NUM
ejpam-602	257	1	(	(	PUNCT
ejpam-602	257	2	0000	0000	NUM
ejpam-602	257	3	)	)	PUNCT
ejpam-602	257	4	false	false	ADJ
ejpam-602	257	5	1	1	NUM
ejpam-602	257	6	(	(	PUNCT
ejpam-602	257	7	0001	0001	NUM
ejpam-602	257	8	)	)	PUNCT
ejpam-602	257	9	1	1	NUM
ejpam-602	257	10	2x	2x	NUM
ejpam-602	257	11	x∧	x∧	PROPN
ejpam-602	257	12	2	2	NUM
ejpam-602	257	13	(	(	PUNCT
ejpam-602	257	14	0010	0010	NUM
ejpam-602	257	15	)	)	PUNCT
ejpam-602	257	16	1	1	NUM
ejpam-602	257	17	2x	2x	NUM
ejpam-602	257	18	x∧	x∧	PROPN
ejpam-602	257	19	3	3	NUM
ejpam-602	257	20	(	(	PUNCT
ejpam-602	257	21	0011	0011	NUM
ejpam-602	257	22	)	)	PUNCT
ejpam-602	257	23	1x	1x	NUM
ejpam-602	257	24	4	4	NUM
ejpam-602	257	25	(	(	PUNCT
ejpam-602	257	26	0100	0100	NUM
ejpam-602	257	27	)	)	PUNCT
ejpam-602	257	28	1	1	NUM
ejpam-602	257	29	2x	2x	NUM
ejpam-602	257	30	x∧	x∧	PROPN
ejpam-602	257	31	5	5	NUM
ejpam-602	257	32	(	(	PUNCT
ejpam-602	257	33	0101	0101	NUM
ejpam-602	257	34	)	)	PUNCT
ejpam-602	257	35	2x	2x	NUM
ejpam-602	257	36	6	6	NUM
ejpam-602	257	37	(	(	PUNCT
ejpam-602	257	38	0110	0110	NUM
ejpam-602	257	39	)	)	PUNCT
ejpam-602	257	40	1	1	NUM
ejpam-602	257	41	2x	2x	NUM
ejpam-602	257	42	x∨	x∨	X
ejpam-602	257	43	7	7	NUM
ejpam-602	257	44	(	(	PUNCT
ejpam-602	257	45	0111	0111	NUM
ejpam-602	257	46	)	)	PUNCT
ejpam-602	257	47	1	1	NUM
ejpam-602	257	48	2x	2x	NUM
ejpam-602	257	49	x∨	x∨	PROPN
ejpam-602	257	50	0	0	NUM
ejpam-602	258	1	1	1	NUM
ejpam-602	258	2	0	0	NUM
ejpam-602	258	3	1	1	NUM
ejpam-602	258	4	0	0	NUM
ejpam-602	258	5	1	1	NUM
ejpam-602	258	6	0	0	NUM
ejpam-602	258	7	1	1	NUM
ejpam-602	258	8	1	1	NUM
ejpam-602	258	9	1	1	NUM
ejpam-602	258	10	1	1	NUM
ejpam-602	258	11	1	1	NUM
ejpam-602	258	12	0	0	NUM
ejpam-602	258	13	0	0	NUM
ejpam-602	258	14	0	0	NUM
ejpam-602	258	15	0	0	NUM
ejpam-602	258	16	1	1	NUM
ejpam-602	258	17	1	1	NUM
ejpam-602	258	18	0	0	NUM
ejpam-602	258	19	0	0	NUM
ejpam-602	258	20	1	1	NUM
ejpam-602	258	21	1	1	NUM
ejpam-602	258	22	0	0	NUM
ejpam-602	258	23	0	0	NUM
ejpam-602	258	24	0	0	NUM
ejpam-602	258	25	0	0	NUM
ejpam-602	258	26	0	0	NUM
ejpam-602	258	27	0	0	NUM
ejpam-602	258	28	0	0	NUM
ejpam-602	258	29	0	0	NUM
ejpam-602	258	30	0	0	NUM
ejpam-602	258	31	0	0	NUM
ejpam-602	258	32	2	2	NUM
ejpam-602	258	33	3	3	NUM
ejpam-602	258	34	1	1	NUM
ejpam-602	258	35	2	2	NUM
ejpam-602	258	36	1	1	NUM
ejpam-602	258	37	2	2	NUM
ejpam-602	258	38	0	0	NUM
ejpam-602	258	39	1	1	NUM
ejpam-602	258	40	8(1000	8(1000	NUM
ejpam-602	258	41	)	)	PUNCT
ejpam-602	258	42	1	1	NUM
ejpam-602	259	1	2x	2x	NUM
ejpam-602	259	2	x∧	x∧	PROPN
ejpam-602	259	3	9(1001	9(1001	NUM
ejpam-602	259	4	)	)	PUNCT
ejpam-602	259	5	1	1	NUM
ejpam-602	259	6	2x	2x	NOUN
ejpam-602	259	7	x≡	x≡	ADP
ejpam-602	259	8	10(1010	10(1010	NUM
ejpam-602	259	9	)	)	PUNCT
ejpam-602	259	10	2x	2x	NUM
ejpam-602	259	11	11(1011	11(1011	X
ejpam-602	259	12	)	)	PUNCT
ejpam-602	259	13	1	1	NUM
ejpam-602	259	14	2x	2x	NUM
ejpam-602	259	15	x⇒	x⇒	X
ejpam-602	259	16	12(1100	12(1100	X
ejpam-602	259	17	)	)	PUNCT
ejpam-602	259	18	1x	1x	NUM
ejpam-602	259	19	13(1101	13(1101	NUM
ejpam-602	259	20	)	)	PUNCT
ejpam-602	259	21	1	1	NUM
ejpam-602	259	22	2x	2x	NUM
ejpam-602	259	23	x	x	X
ejpam-602	259	24	⇐	⇐	NOUN
ejpam-602	259	25	14(1110	14(1110	NUM
ejpam-602	259	26	)	)	PUNCT
ejpam-602	259	27	1	1	NUM
ejpam-602	259	28	2x	2x	NUM
ejpam-602	259	29	x∨	x∨	PROPN
ejpam-602	259	30	15(1111	15(1111	NOUN
ejpam-602	259	31	)	)	PUNCT
ejpam-602	259	32	tautology	tautology	NOUN
ejpam-602	259	33	0	0	NUM
ejpam-602	259	34	1	1	NUM
ejpam-602	259	35	0	0	NUM
ejpam-602	259	36	1	1	NUM
ejpam-602	259	37	0	0	NUM
ejpam-602	259	38	1	1	NUM
ejpam-602	259	39	0	0	NUM
ejpam-602	259	40	1	1	NUM
ejpam-602	259	41	1	1	NUM
ejpam-602	259	42	1	1	NUM
ejpam-602	259	43	1	1	NUM
ejpam-602	259	44	1	1	NUM
ejpam-602	259	45	0	0	NUM
ejpam-602	259	46	0	0	NUM
ejpam-602	259	47	0	0	NUM
ejpam-602	259	48	0	0	NUM
ejpam-602	259	49	1	1	NUM
ejpam-602	259	50	1	1	NUM
ejpam-602	259	51	0	0	NUM
ejpam-602	259	52	0	0	NUM
ejpam-602	259	53	1	1	NUM
ejpam-602	259	54	1	1	NUM
ejpam-602	259	55	0	0	NUM
ejpam-602	259	56	0	0	NUM
ejpam-602	259	57	1	1	NUM
ejpam-602	259	58	1	1	NUM
ejpam-602	259	59	1	1	NUM
ejpam-602	259	60	1	1	NUM
ejpam-602	259	61	1	1	NUM
ejpam-602	259	62	1	1	NUM
ejpam-602	259	63	1	1	NUM
ejpam-602	259	64	1	1	NUM
ejpam-602	259	65	3	3	NUM
ejpam-602	259	66	4	4	NUM
ejpam-602	259	67	2	2	NUM
ejpam-602	259	68	3	3	NUM
ejpam-602	259	69	2	2	NUM
ejpam-602	259	70	3	3	NUM
ejpam-602	259	71	1	1	NUM
ejpam-602	259	72	2	2	NUM
ejpam-602	259	73	note	note	NOUN
ejpam-602	259	74	the	the	DET
ejpam-602	259	75	best	good	ADJ
ejpam-602	259	76	logical	logical	ADJ
ejpam-602	259	77	predictor	predictor	NOUN
ejpam-602	259	78	is	be	AUX
ejpam-602	259	79	9(1001	9(1001	NUM
ejpam-602	259	80	)	)	PUNCT
ejpam-602	259	81	,	,	PUNCT
ejpam-602	259	82	which	which	PRON
ejpam-602	259	83	represents	represent	VERB
ejpam-602	259	84	the	the	DET
ejpam-602	259	85	logical	logical	ADJ
ejpam-602	259	86	function	function	NOUN
ejpam-602	259	87	1	1	NUM
ejpam-602	259	88	2x	2x	NOUN
ejpam-602	259	89	x≡	x≡	X
ejpam-602	259	90	.	.	PUNCT
ejpam-602	260	1	table	table	NOUN
ejpam-602	260	2	3	3	NUM
ejpam-602	260	3	is	be	AUX
ejpam-602	260	4	then	then	ADV
ejpam-602	260	5	computed	compute	VERB
ejpam-602	260	6	for	for	ADP
ejpam-602	260	7	each	each	PRON
ejpam-602	260	8	of	of	ADP
ejpam-602	260	9	the	the	DET
ejpam-602	260	10	(	(	PUNCT
ejpam-602	260	11	1	1	NUM
ejpam-602	260	12	)	)	PUNCT
ejpam-602	260	13	/	/	SYM
ejpam-602	260	14	2	2	NUM
ejpam-602	260	15	6	6	NUM
ejpam-602	260	16	m	m	NOUN
ejpam-602	260	17	m	m	VERB
ejpam-602	260	18	−	−	NOUN
ejpam-602	260	19	=	=	PUNCT
ejpam-602	260	20	pairs	pair	NOUN
ejpam-602	260	21	of	of	ADP
ejpam-602	260	22	dependent	dependent	ADJ
ejpam-602	260	23	variables	variable	NOUN
ejpam-602	260	24	,	,	PUNCT
ejpam-602	260	25	recording	record	VERB
ejpam-602	260	26	only	only	ADV
ejpam-602	260	27	the	the	DET
ejpam-602	260	28	last	last	ADJ
ejpam-602	260	29	row	row	NOUN
ejpam-602	260	30	of	of	ADP
ejpam-602	260	31	totals	total	NOUN
ejpam-602	260	32	which	which	PRON
ejpam-602	260	33	represent	represent	VERB
ejpam-602	260	34	the	the	DET
ejpam-602	260	35	number	number	NOUN
ejpam-602	260	36	of	of	ADP
ejpam-602	260	37	correct	correct	ADJ
ejpam-602	260	38	predictions	prediction	NOUN
ejpam-602	260	39	of	of	ADP
ejpam-602	260	40	a	a	DET
ejpam-602	260	41	given	give	VERB
ejpam-602	260	42	logical	logical	ADJ
ejpam-602	260	43	expression	expression	NOUN
ejpam-602	260	44	.	.	PUNCT
ejpam-602	261	1	doing	do	VERB
ejpam-602	261	2	this	this	PRON
ejpam-602	261	3	we	we	PRON
ejpam-602	261	4	arrive	arrive	VERB
ejpam-602	261	5	at	at	ADP
ejpam-602	261	6	table	table	NOUN
ejpam-602	261	7	4	4	NUM
ejpam-602	261	8	,	,	PUNCT
ejpam-602	261	9	where	where	SCONJ
ejpam-602	261	10	the	the	DET
ejpam-602	261	11	second	second	ADJ
ejpam-602	261	12	row	row	NOUN
ejpam-602	261	13	in	in	ADP
ejpam-602	261	14	the	the	DET
ejpam-602	261	15	table	table	NOUN
ejpam-602	261	16	lists	list	VERB
ejpam-602	261	17	the	the	DET
ejpam-602	261	18	best	good	ADJ
ejpam-602	261	19	logical	logical	ADJ
ejpam-602	261	20	predictor	predictor	NOUN
ejpam-602	261	21	of	of	ADP
ejpam-602	261	22	y	y	PROPN
ejpam-602	261	23	from	from	ADP
ejpam-602	261	24	among	among	ADP
ejpam-602	261	25	the	the	DET
ejpam-602	261	26	16	16	NUM
ejpam-602	261	27	logical	logical	ADJ
ejpam-602	261	28	functions	function	NOUN
ejpam-602	261	29	of	of	ADP
ejpam-602	261	30	the	the	DET
ejpam-602	261	31	given	give	VERB
ejpam-602	261	32	pair	pair	NOUN
ejpam-602	261	33	of	of	ADP
ejpam-602	261	34	j.	j.	PROPN
ejpam-602	261	35	farlow	farlow	PROPN
ejpam-602	261	36	/	/	SYM
ejpam-602	261	37	eur	eur	PROPN
ejpam-602	261	38	.	.	PUNCT
ejpam-602	262	1	j.	j.	PROPN
ejpam-602	262	2	pure	pure	PROPN
ejpam-602	262	3	appl	appl	PROPN
ejpam-602	262	4	.	.	PUNCT
ejpam-602	263	1	math	math	NOUN
ejpam-602	263	2	170	170	NUM
ejpam-602	263	3	variables	variable	NOUN
ejpam-602	263	4	,	,	PUNCT
ejpam-602	263	5	and	and	CCONJ
ejpam-602	263	6	the	the	DET
ejpam-602	263	7	bottom	bottom	NOUN
ejpam-602	263	8	row	row	NOUN
ejpam-602	263	9	3	3	NUM
ejpam-602	263	10	gives	give	VERB
ejpam-602	263	11	the	the	DET
ejpam-602	263	12	fraction	fraction	NOUN
ejpam-602	263	13	(	(	PUNCT
ejpam-602	263	14	and	and	CCONJ
ejpam-602	263	15	percentage	percentage	NOUN
ejpam-602	263	16	)	)	PUNCT
ejpam-602	263	17	of	of	ADP
ejpam-602	263	18	times	time	NOUN
ejpam-602	263	19	the	the	DET
ejpam-602	263	20	given	give	VERB
ejpam-602	263	21	logical	logical	ADJ
ejpam-602	263	22	function	function	NOUN
ejpam-602	263	23	accurately	accurately	ADV
ejpam-602	263	24	predicted	predict	VERB
ejpam-602	263	25	y	y	PROPN
ejpam-602	263	26	.	.	PUNCT
ejpam-602	263	27	table	table	NOUN
ejpam-602	263	28	4	4	NUM
ejpam-602	263	29	:	:	PUNCT
ejpam-602	263	30	results	result	NOUN
ejpam-602	263	31	for	for	ADP
ejpam-602	263	32	the	the	DET
ejpam-602	263	33	first	first	ADJ
ejpam-602	263	34	iteration	iteration	NOUN
ejpam-602	263	35	.	.	PUNCT
ejpam-602	264	1	variable	variable	ADJ
ejpam-602	264	2	pairs	pair	NOUN
ejpam-602	264	3	1	1	NUM
ejpam-602	264	4	2,x	2,x	NUM
ejpam-602	264	5	x	x	SYM
ejpam-602	264	6	1	1	NUM
ejpam-602	264	7	3,x	3,x	NUM
ejpam-602	264	8	x	x	SYM
ejpam-602	264	9	1	1	NUM
ejpam-602	264	10	4,x	4,x	NOUN
ejpam-602	264	11	x	x	SYM
ejpam-602	264	12	2	2	NUM
ejpam-602	264	13	3,x	3,x	NUM
ejpam-602	264	14	x	x	SYM
ejpam-602	264	15	2	2	NUM
ejpam-602	264	16	4,x	4,x	NOUN
ejpam-602	264	17	x	x	SYM
ejpam-602	264	18	3	3	NUM
ejpam-602	264	19	4,x	4,x	NOUN
ejpam-602	264	20	x	x	PUNCT
ejpam-602	264	21	function	function	VERB
ejpam-602	264	22	1	1	NUM
ejpam-602	264	23	2x	2x	NOUN
ejpam-602	264	24	x≡	x≡	ADP
ejpam-602	264	25	1	1	NUM
ejpam-602	264	26	3x	3x	NUM
ejpam-602	264	27	x∧	x∧	PROPN
ejpam-602	264	28	1	1	NUM
ejpam-602	264	29	4x	4x	NUM
ejpam-602	264	30	x∨	x∨	PROPN
ejpam-602	264	31	2	2	NUM
ejpam-602	264	32	3x	3x	NUM
ejpam-602	264	33	x	x	SYM
ejpam-602	264	34	⇐	⇐	ADJ
ejpam-602	264	35	2	2	NUM
ejpam-602	264	36	4x	4x	NUM
ejpam-602	264	37	x⇒	x⇒	PUNCT
ejpam-602	264	38	3	3	NUM
ejpam-602	264	39	4x	4x	NUM
ejpam-602	264	40	x∨	x∨	PROPN
ejpam-602	264	41	#	#	NOUN
ejpam-602	264	42	correct	correct	ADJ
ejpam-602	264	43	4/4(100	4/4(100	NUM
ejpam-602	264	44	%	%	NOUN
ejpam-602	264	45	)	)	PUNCT
ejpam-602	264	46	3/4(75	3/4(75	NUM
ejpam-602	264	47	%	%	NOUN
ejpam-602	264	48	)	)	PUNCT
ejpam-602	264	49	4/4(100	4/4(100	NUM
ejpam-602	264	50	%	%	NOUN
ejpam-602	264	51	)	)	PUNCT
ejpam-602	264	52	2/4(50	2/4(50	NUM
ejpam-602	264	53	%	%	NOUN
ejpam-602	264	54	)	)	PUNCT
ejpam-602	265	1	3/4(75	3/4(75	NUM
ejpam-602	265	2	%	%	NOUN
ejpam-602	265	3	)	)	PUNCT
ejpam-602	265	4	2/4	2/4	NUM
ejpam-602	265	5	(	(	PUNCT
ejpam-602	265	6	50	50	NUM
ejpam-602	265	7	%	%	NOUN
ejpam-602	265	8	)	)	PUNCT
ejpam-602	265	9	the	the	DET
ejpam-602	265	10	next	next	ADJ
ejpam-602	265	11	step	step	NOUN
ejpam-602	265	12	is	be	AUX
ejpam-602	265	13	to	to	PART
ejpam-602	265	14	select	select	VERB
ejpam-602	265	15	the	the	DET
ejpam-602	265	16	best	good	ADJ
ejpam-602	265	17	m	m	NOUN
ejpam-602	265	18	functions	function	NOUN
ejpam-602	265	19	from	from	ADP
ejpam-602	265	20	table	table	NOUN
ejpam-602	265	21	4	4	NUM
ejpam-602	265	22	(	(	PUNCT
ejpam-602	265	23	4	4	NUM
ejpam-602	265	24	in	in	ADP
ejpam-602	265	25	this	this	DET
ejpam-602	265	26	example	example	NOUN
ejpam-602	265	27	)	)	PUNCT
ejpam-602	265	28	that	that	PRON
ejpam-602	265	29	predicts	predict	VERB
ejpam-602	265	30	y	y	PRON
ejpam-602	265	31	.	.	PUNCT
ejpam-602	266	1	step	step	NOUN
ejpam-602	266	2	2	2	NUM
ejpam-602	266	3	:	:	PUNCT
ejpam-602	266	4	(	(	PUNCT
ejpam-602	266	5	replace	replace	VERB
ejpam-602	266	6	the	the	DET
ejpam-602	266	7	original	original	ADJ
ejpam-602	266	8	data	datum	NOUN
ejpam-602	266	9	with	with	ADP
ejpam-602	266	10	the	the	DET
ejpam-602	266	11	best	good	ADJ
ejpam-602	266	12	logical	logical	ADJ
ejpam-602	266	13	estimates	estimate	NOUN
ejpam-602	266	14	)	)	PUNCT
ejpam-602	266	15	we	we	PRON
ejpam-602	266	16	now	now	ADV
ejpam-602	266	17	evaluate	evaluate	VERB
ejpam-602	266	18	the	the	DET
ejpam-602	266	19	best	good	ADJ
ejpam-602	266	20	m	m	ADJ
ejpam-602	266	21	logical	logical	ADJ
ejpam-602	266	22	functions	function	NOUN
ejpam-602	266	23	in	in	ADP
ejpam-602	266	24	table	table	NOUN
ejpam-602	266	25	4	4	NUM
ejpam-602	266	26	,	,	PUNCT
ejpam-602	266	27	which	which	PRON
ejpam-602	266	28	represent	represent	VERB
ejpam-602	266	29	the	the	DET
ejpam-602	266	30	best	good	ADJ
ejpam-602	266	31	logical	logical	ADJ
ejpam-602	266	32	predictors	predictor	NOUN
ejpam-602	266	33	of	of	ADP
ejpam-602	266	34	y	y	PROPN
ejpam-602	266	35	based	base	VERB
ejpam-602	266	36	on	on	ADP
ejpam-602	266	37	the	the	DET
ejpam-602	266	38	observations	observation	NOUN
ejpam-602	266	39	in	in	ADP
ejpam-602	266	40	the	the	DET
ejpam-602	266	41	training	training	NOUN
ejpam-602	266	42	set	set	NOUN
ejpam-602	266	43	.	.	PUNCT
ejpam-602	267	1	in	in	ADP
ejpam-602	267	2	this	this	DET
ejpam-602	267	3	example	example	NOUN
ejpam-602	267	4	they	they	PRON
ejpam-602	267	5	are	be	AUX
ejpam-602	267	6	1	1	NUM
ejpam-602	267	7	2x	2x	NOUN
ejpam-602	267	8	x≡	x≡	PUNCT
ejpam-602	267	9	,	,	PUNCT
ejpam-602	267	10	1	1	NUM
ejpam-602	267	11	3x	3x	NUM
ejpam-602	267	12	x∧	x∧	PROPN
ejpam-602	267	13	,	,	PUNCT
ejpam-602	267	14	1	1	NUM
ejpam-602	267	15	4x	4x	PROPN
ejpam-602	267	16	x∨	x∨	PROPN
ejpam-602	267	17	,	,	PUNCT
ejpam-602	267	18	2	2	NUM
ejpam-602	267	19	4x	4x	NUM
ejpam-602	267	20	x⇒	x⇒	X
ejpam-602	267	21	which	which	PRON
ejpam-602	267	22	yields	yield	VERB
ejpam-602	267	23	4	4	NUM
ejpam-602	267	24	,	,	PUNCT
ejpam-602	267	25	3	3	NUM
ejpam-602	267	26	,	,	PUNCT
ejpam-602	267	27	4	4	NUM
ejpam-602	267	28	,	,	PUNCT
ejpam-602	267	29	and	and	CCONJ
ejpam-602	267	30	3	3	NUM
ejpam-602	267	31	correct	correct	ADJ
ejpam-602	267	32	predictions	prediction	NOUN
ejpam-602	267	33	.	.	PUNCT
ejpam-602	268	1	evaluating	evaluate	VERB
ejpam-602	268	2	these	these	DET
ejpam-602	268	3	functions	function	NOUN
ejpam-602	268	4	at	at	ADP
ejpam-602	268	5	the	the	DET
ejpam-602	268	6	n	n	PROPN
ejpam-602	268	7	observations	observation	NOUN
ejpam-602	268	8	,	,	PUNCT
ejpam-602	268	9	we	we	PRON
ejpam-602	268	10	arrive	arrive	VERB
ejpam-602	268	11	at	at	ADP
ejpam-602	268	12	the	the	DET
ejpam-602	268	13	4	4	NUM
ejpam-602	268	14	4n	4n	NOUN
ejpam-602	268	15	m×	m×	PROPN
ejpam-602	268	16	=	=	SYM
ejpam-602	268	17	×	×	NOUN
ejpam-602	268	18	array	array	NOUN
ejpam-602	268	19	in	in	ADP
ejpam-602	268	20	table	table	NOUN
ejpam-602	268	21	5	5	NUM
ejpam-602	268	22	,	,	PUNCT
ejpam-602	268	23	which	which	PRON
ejpam-602	268	24	we	we	PRON
ejpam-602	268	25	call	call	VERB
ejpam-602	268	26	xnew	xnew	PROPN
ejpam-602	268	27	and	and	CCONJ
ejpam-602	268	28	are	be	AUX
ejpam-602	268	29	the	the	DET
ejpam-602	268	30	evaluated	evaluated	ADJ
ejpam-602	268	31	best	good	ADJ
ejpam-602	268	32	predictors	predictor	NOUN
ejpam-602	268	33	of	of	ADP
ejpam-602	268	34	y	y	PROPN
ejpam-602	268	35	.	.	PUNCT
ejpam-602	269	1	note	note	VERB
ejpam-602	269	2	that	that	SCONJ
ejpam-602	269	3	in	in	ADP
ejpam-602	269	4	the	the	DET
ejpam-602	269	5	column	column	NOUN
ejpam-602	269	6	under	under	ADP
ejpam-602	269	7	2	2	NUM
ejpam-602	269	8	4x	4x	NUM
ejpam-602	269	9	x⇒	x⇒	PUNCT
ejpam-602	270	1	for	for	ADP
ejpam-602	270	2	the	the	DET
ejpam-602	270	3	observations	observation	NOUN
ejpam-602	270	4	in	in	ADP
ejpam-602	270	5	the	the	DET
ejpam-602	270	6	checking	checking	NOUN
ejpam-602	270	7	set	set	NOUN
ejpam-602	270	8	,	,	PUNCT
ejpam-602	270	9	the	the	DET
ejpam-602	270	10	values	value	NOUN
ejpam-602	270	11	are	be	AUX
ejpam-602	270	12	1	1	NUM
ejpam-602	270	13	,	,	PUNCT
ejpam-602	270	14	1	1	NUM
ejpam-602	270	15	,	,	PUNCT
ejpam-602	270	16	and	and	CCONJ
ejpam-602	270	17	1	1	NUM
ejpam-602	270	18	,	,	PUNCT
ejpam-602	270	19	which	which	PRON
ejpam-602	270	20	are	be	AUX
ejpam-602	270	21	the	the	DET
ejpam-602	270	22	logical	logical	ADJ
ejpam-602	270	23	evaluations	evaluation	NOUN
ejpam-602	270	24	of	of	ADP
ejpam-602	270	25	the	the	DET
ejpam-602	270	26	corresponding	corresponding	ADJ
ejpam-602	270	27	observations	observation	NOUN
ejpam-602	270	28	in	in	ADP
ejpam-602	270	29	the	the	DET
ejpam-602	270	30	original	original	ADJ
ejpam-602	270	31	data	data	NOUN
ejpam-602	270	32	matrix	matrix	NOUN
ejpam-602	270	33	x	x	PUNCT
ejpam-602	270	34	in	in	ADP
ejpam-602	270	35	table	table	NOUN
ejpam-602	270	36	2	2	NUM
ejpam-602	270	37	.	.	PUNCT
ejpam-602	271	1	we	we	PRON
ejpam-602	271	2	now	now	ADV
ejpam-602	271	3	replace	replace	VERB
ejpam-602	271	4	the	the	DET
ejpam-602	271	5	data	datum	NOUN
ejpam-602	271	6	matrix	matrix	NOUN
ejpam-602	271	7	x	x	PUNCT
ejpam-602	271	8	of	of	ADP
ejpam-602	271	9	independent	independent	ADJ
ejpam-602	271	10	variables	variable	NOUN
ejpam-602	271	11	with	with	ADP
ejpam-602	271	12	the	the	DET
ejpam-602	271	13	newly	newly	ADV
ejpam-602	271	14	computed	compute	VERB
ejpam-602	271	15	matrix	matrix	NOUN
ejpam-602	271	16	xnew	xnew	PROPN
ejpam-602	271	17	.	.	PUNCT
ejpam-602	271	18	table	table	NOUN
ejpam-602	271	19	5	5	NUM
ejpam-602	271	20	:	:	PUNCT
ejpam-602	271	21	new	new	ADJ
ejpam-602	271	22	computed	compute	VERB
ejpam-602	271	23	data	datum	NOUN
ejpam-602	271	24	xnew	xnew	PROPN
ejpam-602	271	25	replaces	replace	VERB
ejpam-602	271	26	x	x	X
ejpam-602	271	27	.	.	PUNCT
ejpam-602	272	1	training	training	NOUN
ejpam-602	272	2	set	set	NOUN
ejpam-602	272	3	-------------	-------------	PUNCT
ejpam-602	272	4	checking	check	VERB
ejpam-602	272	5	set	set	NOUN
ejpam-602	272	6	1	1	NUM
ejpam-602	272	7	2x	2x	NOUN
ejpam-602	272	8	x≡	x≡	ADP
ejpam-602	272	9	1	1	NUM
ejpam-602	272	10	3x	3x	NUM
ejpam-602	272	11	x∧	x∧	PROPN
ejpam-602	272	12	1	1	NUM
ejpam-602	272	13	4x	4x	NUM
ejpam-602	272	14	x∨	x∨	PROPN
ejpam-602	272	15	2	2	NUM
ejpam-602	272	16	4x	4x	NOUN
ejpam-602	272	17	x⇒	x⇒	PUNCT
ejpam-602	273	1	1	1	NUM
ejpam-602	273	2	0	0	NUM
ejpam-602	273	3	1	1	NUM
ejpam-602	273	4	0	0	NUM
ejpam-602	273	5	0	0	NUM
ejpam-602	273	6	0	0	NUM
ejpam-602	273	7	0	0	NUM
ejpam-602	273	8	1	1	NUM
ejpam-602	273	9	0	0	NUM
ejpam-602	273	10	1	1	NUM
ejpam-602	273	11	1	1	NUM
ejpam-602	273	12	1	1	NUM
ejpam-602	273	13	1	1	NUM
ejpam-602	273	14	1	1	NUM
ejpam-602	273	15	0	0	NUM
ejpam-602	273	16	1	1	NUM
ejpam-602	273	17	1	1	NUM
ejpam-602	273	18	0	0	NUM
ejpam-602	273	19	0	0	NUM
ejpam-602	273	20	1	1	NUM
ejpam-602	273	21	0	0	NUM
ejpam-602	273	22	0	0	NUM
ejpam-602	273	23	1	1	NUM
ejpam-602	273	24	1	1	NUM
ejpam-602	273	25	0	0	NUM
ejpam-602	273	26	0	0	NUM
ejpam-602	273	27	0	0	NUM
ejpam-602	273	28	1	1	NUM
ejpam-602	273	29	step	step	NOUN
ejpam-602	273	30	3	3	NUM
ejpam-602	273	31	:	:	PUNCT
ejpam-602	273	32	(	(	PUNCT
ejpam-602	273	33	when	when	SCONJ
ejpam-602	273	34	to	to	PART
ejpam-602	273	35	stop	stop	VERB
ejpam-602	273	36	:	:	PUNCT
ejpam-602	273	37	goodness	goodness	NOUN
ejpam-602	273	38	of	of	ADP
ejpam-602	273	39	fit	fit	ADJ
ejpam-602	273	40	)	)	PUNCT
ejpam-602	273	41	steps	step	NOUN
ejpam-602	273	42	1	1	NUM
ejpam-602	273	43	and	and	CCONJ
ejpam-602	273	44	2	2	NUM
ejpam-602	273	45	define	define	VERB
ejpam-602	273	46	the	the	DET
ejpam-602	273	47	algorithm	algorithm	NOUN
ejpam-602	273	48	.	.	PUNCT
ejpam-602	274	1	to	to	PART
ejpam-602	274	2	determine	determine	VERB
ejpam-602	274	3	when	when	SCONJ
ejpam-602	274	4	the	the	DET
ejpam-602	274	5	process	process	NOUN
ejpam-602	274	6	is	be	AUX
ejpam-602	274	7	stopped	stop	VERB
ejpam-602	274	8	,	,	PUNCT
ejpam-602	274	9	we	we	PRON
ejpam-602	274	10	compute	compute	VERB
ejpam-602	274	11	the	the	DET
ejpam-602	274	12	number	number	NOUN
ejpam-602	274	13	of	of	ADP
ejpam-602	274	14	correct	correct	ADJ
ejpam-602	274	15	predictions	prediction	NOUN
ejpam-602	274	16	rmax	rmax	ADJ
ejpam-602	274	17	of	of	ADP
ejpam-602	274	18	y	y	PROPN
ejpam-602	274	19	at	at	ADP
ejpam-602	274	20	the	the	DET
ejpam-602	274	21	end	end	NOUN
ejpam-602	274	22	of	of	ADP
ejpam-602	274	23	step	step	NOUN
ejpam-602	274	24	2	2	NUM
ejpam-602	274	25	for	for	ADP
ejpam-602	274	26	those	those	DET
ejpam-602	274	27	observations	observation	NOUN
ejpam-602	274	28	in	in	ADP
ejpam-602	274	29	the	the	DET
ejpam-602	274	30	checking	checking	NOUN
ejpam-602	274	31	set	set	NOUN
ejpam-602	274	32	.	.	PUNCT
ejpam-602	275	1	this	this	PRON
ejpam-602	275	2	is	be	AUX
ejpam-602	275	3	an	an	DET
ejpam-602	275	4	easy	easy	ADJ
ejpam-602	275	5	thing	thing	NOUN
ejpam-602	275	6	to	to	PART
ejpam-602	275	7	do	do	VERB
ejpam-602	275	8	since	since	SCONJ
ejpam-602	275	9	best	good	ADJ
ejpam-602	275	10	predictions	prediction	NOUN
ejpam-602	275	11	reside	reside	VERB
ejpam-602	275	12	in	in	ADP
ejpam-602	275	13	the	the	DET
ejpam-602	275	14	first	first	ADJ
ejpam-602	275	15	column	column	NOUN
ejpam-602	275	16	of	of	ADP
ejpam-602	275	17	xnew	xnew	PROPN
ejpam-602	275	18	(	(	PUNCT
ejpam-602	275	19	and	and	CCONJ
ejpam-602	275	20	also	also	ADV
ejpam-602	275	21	the	the	DET
ejpam-602	275	22	first	first	ADJ
ejpam-602	275	23	column	column	NOUN
ejpam-602	275	24	of	of	ADP
ejpam-602	275	25	x	x	PROPN
ejpam-602	275	26	)	)	PUNCT
ejpam-602	275	27	.	.	PUNCT
ejpam-602	276	1	experiments	experiment	NOUN
ejpam-602	276	2	have	have	AUX
ejpam-602	276	3	shown	show	VERB
ejpam-602	276	4	that	that	SCONJ
ejpam-602	276	5	rmax	rmax	ADJ
ejpam-602	276	6	increases	increase	NOUN
ejpam-602	276	7	for	for	ADP
ejpam-602	276	8	a	a	DET
ejpam-602	276	9	few	few	ADJ
ejpam-602	276	10	generations	generation	NOUN
ejpam-602	276	11	and	and	CCONJ
ejpam-602	276	12	then	then	ADV
ejpam-602	276	13	begins	begin	VERB
ejpam-602	276	14	to	to	PART
ejpam-602	276	15	decrease	decrease	VERB
ejpam-602	276	16	as	as	SCONJ
ejpam-602	276	17	the	the	DET
ejpam-602	276	18	model	model	NOUN
ejpam-602	276	19	begins	begin	VERB
ejpam-602	276	20	to	to	ADP
ejpam-602	276	21	over	over	ADP
ejpam-602	276	22	-	-	PUNCT
ejpam-602	276	23	fit	fit	VERB
ejpam-602	276	24	the	the	DET
ejpam-602	276	25	data	datum	NOUN
ejpam-602	276	26	.	.	PUNCT
ejpam-602	277	1	hence	hence	ADV
ejpam-602	277	2	,	,	PUNCT
ejpam-602	277	3	the	the	DET
ejpam-602	277	4	rule	rule	NOUN
ejpam-602	277	5	is	be	AUX
ejpam-602	277	6	to	to	PART
ejpam-602	277	7	stop	stop	VERB
ejpam-602	277	8	the	the	DET
ejpam-602	277	9	algorithm	algorithm	NOUN
ejpam-602	277	10	when	when	SCONJ
ejpam-602	277	11	the	the	DET
ejpam-602	277	12	rmax	rmax	ADJ
ejpam-602	277	13	curve	curve	NOUN
ejpam-602	277	14	reaches	reach	VERB
ejpam-602	277	15	its	its	PRON
ejpam-602	277	16	maximum	maximum	ADJ
ejpam-602	277	17	and	and	CCONJ
ejpam-602	277	18	select	select	VERB
ejpam-602	277	19	the	the	DET
ejpam-602	277	20	first	first	ADJ
ejpam-602	277	21	column	column	NOUN
ejpam-602	277	22	of	of	ADP
ejpam-602	277	23	xnew	xnew	PROPN
ejpam-602	277	24	as	as	ADP
ejpam-602	277	25	the	the	DET
ejpam-602	277	26	best	good	ADJ
ejpam-602	277	27	predictor	predictor	NOUN
ejpam-602	277	28	.	.	PUNCT
ejpam-602	278	1	when	when	SCONJ
ejpam-602	278	2	the	the	DET
ejpam-602	278	3	algorithm	algorithm	NOUN
ejpam-602	278	4	j.	j.	PROPN
ejpam-602	278	5	farlow	farlow	PROPN
ejpam-602	278	6	/	/	SYM
ejpam-602	278	7	eur	eur	PROPN
ejpam-602	278	8	.	.	PUNCT
ejpam-602	279	1	j.	j.	PROPN
ejpam-602	279	2	pure	pure	PROPN
ejpam-602	279	3	appl	appl	PROPN
ejpam-602	279	4	.	.	PUNCT
ejpam-602	280	1	math	math	NOUN
ejpam-602	280	2	171	171	NUM
ejpam-602	280	3	stops	stop	NOUN
ejpam-602	280	4	,	,	PUNCT
ejpam-602	280	5	the	the	DET
ejpam-602	280	6	columns	column	NOUN
ejpam-602	280	7	of	of	ADP
ejpam-602	280	8	xnew	xnew	PROPN
ejpam-602	280	9	contain	contain	VERB
ejpam-602	280	10	the	the	DET
ejpam-602	280	11	computed	computed	ADJ
ejpam-602	280	12	values	value	NOUN
ejpam-602	280	13	of	of	ADP
ejpam-602	280	14	the	the	DET
ejpam-602	280	15	best	good	ADJ
ejpam-602	280	16	m	m	VERB
ejpam-602	280	17	logical	logical	ADJ
ejpam-602	280	18	predictors	predictor	NOUN
ejpam-602	280	19	of	of	ADP
ejpam-602	280	20	y	y	PROPN
ejpam-602	280	21	.	.	PUNCT
ejpam-602	281	1	this	this	PRON
ejpam-602	281	2	defines	define	VERB
ejpam-602	281	3	the	the	DET
ejpam-602	281	4	algorithm	algorithm	NOUN
ejpam-602	281	5	.	.	PUNCT
ejpam-602	282	1	4	4	X
ejpam-602	282	2	.	.	X
ejpam-602	282	3	computations	computation	NOUN
ejpam-602	282	4	we	we	PRON
ejpam-602	282	5	tested	test	VERB
ejpam-602	282	6	the	the	DET
ejpam-602	282	7	algorithm	algorithm	NOUN
ejpam-602	282	8	’s	’s	PART
ejpam-602	282	9	ability	ability	NOUN
ejpam-602	282	10	to	to	PART
ejpam-602	282	11	find	find	VERB
ejpam-602	282	12	best	good	ADJ
ejpam-602	282	13	logical	logical	ADJ
ejpam-602	282	14	relations	relation	NOUN
ejpam-602	282	15	of	of	ADP
ejpam-602	282	16	several	several	ADJ
ejpam-602	282	17	independent	independent	ADJ
ejpam-602	282	18	variables	variable	NOUN
ejpam-602	282	19	from	from	ADP
ejpam-602	282	20	among	among	ADP
ejpam-602	282	21	50	50	NUM
ejpam-602	282	22	m	m	NOUN
ejpam-602	282	23	=	=	NOUN
ejpam-602	282	24	independent	independent	ADJ
ejpam-602	282	25	variables	variable	NOUN
ejpam-602	282	26	with	with	ADP
ejpam-602	282	27	250n	250n	NOUN
ejpam-602	282	28	=	=	SYM
ejpam-602	282	29	observations	observation	NOUN
ejpam-602	282	30	(	(	PUNCT
ejpam-602	282	31	150nt	150nt	PROPN
ejpam-602	282	32	=	=	SYM
ejpam-602	282	33	,	,	PUNCT
ejpam-602	282	34	100nc	100nc	NOUN
ejpam-602	282	35	=	=	PUNCT
ejpam-602	282	36	)	)	PUNCT
ejpam-602	282	37	.	.	PUNCT
ejpam-602	283	1	all	all	DET
ejpam-602	283	2	independent	independent	ADJ
ejpam-602	283	3	variables	variable	NOUN
ejpam-602	283	4	were	be	AUX
ejpam-602	283	5	binary	binary	ADJ
ejpam-602	283	6	0	0	NUM
ejpam-602	283	7	and	and	CCONJ
ejpam-602	283	8	1	1	NUM
ejpam-602	283	9	variables	variable	NOUN
ejpam-602	283	10	,	,	PUNCT
ejpam-602	283	11	each	each	PRON
ejpam-602	283	12	having	have	VERB
ejpam-602	283	13	probability	probability	NOUN
ejpam-602	283	14	0.5	0.5	NUM
ejpam-602	283	15	.	.	PUNCT
ejpam-602	284	1	the	the	DET
ejpam-602	284	2	dependent	dependent	ADJ
ejpam-602	284	3	variable	variable	NOUN
ejpam-602	284	4	y	y	PROPN
ejpam-602	284	5	was	be	AUX
ejpam-602	284	6	generated	generate	VERB
ejpam-602	284	7	as	as	ADP
ejpam-602	284	8	a	a	DET
ejpam-602	284	9	logical	logical	ADJ
ejpam-602	284	10	expression	expression	NOUN
ejpam-602	284	11	of	of	ADP
ejpam-602	284	12	the	the	DET
ejpam-602	284	13	dependent	dependent	ADJ
ejpam-602	284	14	variables	variable	NOUN
ejpam-602	284	15	for	for	ADP
ejpam-602	284	16	some	some	DET
ejpam-602	284	17	observations	observation	NOUN
ejpam-602	284	18	,	,	PUNCT
ejpam-602	284	19	and	and	CCONJ
ejpam-602	284	20	random	random	ADJ
ejpam-602	284	21	0s	0	NOUN
ejpam-602	284	22	and	and	CCONJ
ejpam-602	284	23	1s	1s	NUM
ejpam-602	284	24	for	for	ADP
ejpam-602	284	25	other	other	ADJ
ejpam-602	284	26	observations	observation	NOUN
ejpam-602	284	27	.	.	PUNCT
ejpam-602	285	1	in	in	ADP
ejpam-602	285	2	this	this	DET
ejpam-602	285	3	way	way	NOUN
ejpam-602	285	4	we	we	PRON
ejpam-602	285	5	could	could	AUX
ejpam-602	285	6	determine	determine	VERB
ejpam-602	285	7	how	how	SCONJ
ejpam-602	285	8	well	well	ADV
ejpam-602	285	9	the	the	DET
ejpam-602	285	10	gmdh	gmdh	ADJ
ejpam-602	285	11	algorithm	algorithm	NOUN
ejpam-602	285	12	works	work	VERB
ejpam-602	285	13	.	.	PUNCT
ejpam-602	286	1	to	to	PART
ejpam-602	286	2	carry	carry	VERB
ejpam-602	286	3	out	out	ADP
ejpam-602	286	4	the	the	DET
ejpam-602	286	5	generation	generation	NOUN
ejpam-602	286	6	of	of	ADP
ejpam-602	286	7	the	the	DET
ejpam-602	286	8	dependent	dependent	ADJ
ejpam-602	286	9	variable	variable	ADJ
ejpam-602	286	10	y	y	PROPN
ejpam-602	286	11	,	,	PUNCT
ejpam-602	286	12	we	we	PRON
ejpam-602	286	13	first	first	ADV
ejpam-602	286	14	select	select	VERB
ejpam-602	286	15	a	a	DET
ejpam-602	286	16	number	number	NOUN
ejpam-602	286	17	0	0	NUM
ejpam-602	286	18	1q≤	1q≤	PROPN
ejpam-602	286	19	≤	≤	NOUN
ejpam-602	286	20	,	,	PUNCT
ejpam-602	286	21	then	then	ADV
ejpam-602	286	22	generate	generate	VERB
ejpam-602	286	23	a	a	DET
ejpam-602	286	24	uniform	uniform	ADJ
ejpam-602	286	25	random	random	ADJ
ejpam-602	286	26	number	number	NOUN
ejpam-602	286	27	r	r	NOUN
ejpam-602	286	28	between	between	ADP
ejpam-602	286	29	0	0	NUM
ejpam-602	286	30	and	and	CCONJ
ejpam-602	286	31	1	1	NUM
ejpam-602	286	32	,	,	PUNCT
ejpam-602	286	33	and	and	CCONJ
ejpam-602	286	34	then	then	ADV
ejpam-602	286	35	the	the	DET
ejpam-602	286	36	observations	observation	NOUN
ejpam-602	286	37	,	,	PUNCT
ejpam-602	286	38	1,	1,	NUM
ejpam-602	286	39	...	...	PUNCT
ejpam-602	286	40	,iy	,iy	PUNCT
ejpam-602	287	1	i	i	PRON
ejpam-602	287	2	n=	n=	ADV
ejpam-602	287	3	computed	compute	VERB
ejpam-602	287	4	by	by	ADP
ejpam-602	287	5	the	the	DET
ejpam-602	287	6	rule	rule	NOUN
ejpam-602	287	7	specified	specify	VERB
ejpam-602	287	8	logical	logical	ADJ
ejpam-602	287	9	function	function	NOUN
ejpam-602	287	10	when	when	SCONJ
ejpam-602	287	11	random	random	ADJ
ejpam-602	287	12	0	0	NUM
ejpam-602	287	13	or	or	CCONJ
ejpam-602	287	14	1	1	NUM
ejpam-602	287	15	when	when	SCONJ
ejpam-602	287	16	i	i	PRON
ejpam-602	287	17	r	r	VERB
ejpam-602	287	18	q	q	PUNCT
ejpam-602	287	19	y	y	NOUN
ejpam-602	287	20	r	r	NOUN
ejpam-602	287	21	q	q	X
ejpam-602	287	22	≥	≥	NOUN
ejpam-602	287	23	=	=	SYM
ejpam-602	287	24			NOUN
ejpam-602	287	25	<	<	X
ejpam-602	287	26			ADJ
ejpam-602	287	27	note	note	NOUN
ejpam-602	287	28	that	that	SCONJ
ejpam-602	287	29	when	when	SCONJ
ejpam-602	287	30	0q	0q	NOUN
ejpam-602	287	31	=	=	PUNCT
ejpam-602	287	32	the	the	DET
ejpam-602	287	33	dependent	dependent	ADJ
ejpam-602	287	34	observations	observation	NOUN
ejpam-602	287	35	iy	iy	PROPN
ejpam-602	287	36	are	be	AUX
ejpam-602	287	37	the	the	DET
ejpam-602	287	38	values	value	NOUN
ejpam-602	287	39	of	of	ADP
ejpam-602	287	40	specified	specify	VERB
ejpam-602	287	41	logical	logical	ADJ
ejpam-602	287	42	function	function	NOUN
ejpam-602	287	43	of	of	ADP
ejpam-602	287	44	the	the	DET
ejpam-602	287	45	dependent	dependent	ADJ
ejpam-602	287	46	variables	variable	NOUN
ejpam-602	287	47	,	,	PUNCT
ejpam-602	287	48	and	and	CCONJ
ejpam-602	287	49	when	when	SCONJ
ejpam-602	287	50	1q	1q	NUM
ejpam-602	287	51	=	=	PUNCT
ejpam-602	287	52	the	the	DET
ejpam-602	287	53	computed	compute	VERB
ejpam-602	287	54	values	value	NOUN
ejpam-602	287	55	of	of	ADP
ejpam-602	287	56	y	y	PROPN
ejpam-602	287	57	are	be	AUX
ejpam-602	287	58	random	random	ADJ
ejpam-602	287	59	0s	0	NOUN
ejpam-602	287	60	and	and	CCONJ
ejpam-602	287	61	1s	1s	NUM
ejpam-602	287	62	and	and	CCONJ
ejpam-602	287	63	have	have	VERB
ejpam-602	287	64	no	no	DET
ejpam-602	287	65	relation	relation	NOUN
ejpam-602	287	66	to	to	ADP
ejpam-602	287	67	the	the	DET
ejpam-602	287	68	independent	independent	ADJ
ejpam-602	287	69	variables	variable	NOUN
ejpam-602	287	70	.	.	PUNCT
ejpam-602	288	1	the	the	DET
ejpam-602	288	2	goal	goal	NOUN
ejpam-602	288	3	was	be	AUX
ejpam-602	288	4	to	to	PART
ejpam-602	288	5	determine	determine	VERB
ejpam-602	288	6	how	how	SCONJ
ejpam-602	288	7	well	well	ADV
ejpam-602	288	8	the	the	DET
ejpam-602	288	9	algorithm	algorithm	NOUN
ejpam-602	288	10	could	could	AUX
ejpam-602	288	11	pick	pick	VERB
ejpam-602	288	12	out	out	ADP
ejpam-602	288	13	the	the	DET
ejpam-602	288	14	chosen	choose	VERB
ejpam-602	288	15	logical	logical	ADJ
ejpam-602	288	16	relation	relation	NOUN
ejpam-602	289	1	when	when	SCONJ
ejpam-602	289	2	0	0	NUM
ejpam-602	289	3	1q	1q	NUM
ejpam-602	289	4	<	<	X
ejpam-602	289	5	<	<	X
ejpam-602	289	6	.	.	PUNCT
ejpam-602	289	7	experiment	experiment	NOUN
ejpam-602	289	8	1	1	NUM
ejpam-602	289	9	:	:	PUNCT
ejpam-602	289	10	the	the	DET
ejpam-602	289	11	value	value	NOUN
ejpam-602	289	12	1q	1q	NUM
ejpam-602	289	13	=	=	PUNCT
ejpam-602	289	14	was	be	AUX
ejpam-602	289	15	chosen	choose	VERB
ejpam-602	289	16	with	with	ADP
ejpam-602	289	17	logical	logical	ADJ
ejpam-602	289	18	function	function	NOUN
ejpam-602	289	19	15	15	NUM
ejpam-602	289	20	35x	35x	NOUN
ejpam-602	289	21	x⇒	x⇒	PUNCT
ejpam-602	289	22	.	.	PUNCT
ejpam-602	290	1	it	it	PRON
ejpam-602	290	2	was	be	AUX
ejpam-602	290	3	not	not	PART
ejpam-602	290	4	surprising	surprising	ADJ
ejpam-602	290	5	that	that	SCONJ
ejpam-602	290	6	at	at	ADP
ejpam-602	290	7	the	the	DET
ejpam-602	290	8	first	first	ADJ
ejpam-602	290	9	iteration	iteration	NOUN
ejpam-602	290	10	the	the	DET
ejpam-602	290	11	maximum	maximum	ADJ
ejpam-602	290	12	logical	logical	ADJ
ejpam-602	290	13	function	function	NOUN
ejpam-602	290	14	was	be	AUX
ejpam-602	290	15	15	15	NUM
ejpam-602	290	16	35x	35x	NOUN
ejpam-602	290	17	x⇒	x⇒	PUNCT
ejpam-602	291	1	and	and	CCONJ
ejpam-602	291	2	that	that	SCONJ
ejpam-602	291	3	it	it	PRON
ejpam-602	291	4	predicted	predict	VERB
ejpam-602	291	5	the	the	DET
ejpam-602	291	6	dependent	dependent	ADJ
ejpam-602	291	7	variable	variable	NOUN
ejpam-602	291	8	150	150	NUM
ejpam-602	291	9	out	out	ADP
ejpam-602	291	10	of	of	ADP
ejpam-602	291	11	150	150	NUM
ejpam-602	291	12	times	time	NOUN
ejpam-602	291	13	in	in	ADP
ejpam-602	291	14	the	the	DET
ejpam-602	291	15	training	training	NOUN
ejpam-602	291	16	set	set	NOUN
ejpam-602	291	17	and	and	CCONJ
ejpam-602	291	18	100	100	NUM
ejpam-602	291	19	out	out	ADP
ejpam-602	291	20	of	of	ADP
ejpam-602	291	21	100	100	NUM
ejpam-602	291	22	times	time	NOUN
ejpam-602	291	23	in	in	ADP
ejpam-602	291	24	the	the	DET
ejpam-602	291	25	checking	checking	NOUN
ejpam-602	291	26	set	set	NOUN
ejpam-602	291	27	.	.	PUNCT
ejpam-602	292	1	the	the	DET
ejpam-602	292	2	second	second	ADJ
ejpam-602	292	3	through	through	ADP
ejpam-602	292	4	fifth	fifth	ADJ
ejpam-602	292	5	place	place	NOUN
ejpam-602	292	6	logical	logical	ADJ
ejpam-602	292	7	relations	relation	NOUN
ejpam-602	292	8	were	be	AUX
ejpam-602	292	9	(	(	PUNCT
ejpam-602	292	10	2	2	NUM
ejpam-602	292	11	)	)	PUNCT
ejpam-602	292	12	15	15	NUM
ejpam-602	292	13	42x	42x	X
ejpam-602	292	14	x⇒	x⇒	PUNCT
ejpam-602	293	1	,	,	PUNCT
ejpam-602	293	2	(	(	PUNCT
ejpam-602	293	3	3	3	X
ejpam-602	293	4	)	)	PUNCT
ejpam-602	293	5	15	15	NUM
ejpam-602	293	6	49not	49not	NOUN
ejpam-602	293	7	both	both	PRON
ejpam-602	293	8	and	and	CCONJ
ejpam-602	293	9	x	x	SYM
ejpam-602	293	10	x	x	X
ejpam-602	293	11	,	,	PUNCT
ejpam-602	293	12	(	(	PUNCT
ejpam-602	293	13	4	4	X
ejpam-602	293	14	)	)	SYM
ejpam-602	293	15	15	15	NUM
ejpam-602	293	16	16not	16not	NOUN
ejpam-602	293	17	both	both	PRON
ejpam-602	293	18	and	and	CCONJ
ejpam-602	293	19	x	x	SYM
ejpam-602	293	20	x	x	X
ejpam-602	293	21	,	,	PUNCT
ejpam-602	293	22	and	and	CCONJ
ejpam-602	293	23	(	(	PUNCT
ejpam-602	293	24	5	5	NUM
ejpam-602	293	25	)	)	PUNCT
ejpam-602	293	26	16	16	NUM
ejpam-602	293	27	35x	35x	NOUN
ejpam-602	293	28	x⇒	x⇒	X
ejpam-602	294	1	which	which	PRON
ejpam-602	294	2	is	be	AUX
ejpam-602	294	3	not	not	PART
ejpam-602	294	4	surprising	surprising	ADJ
ejpam-602	294	5	since	since	SCONJ
ejpam-602	294	6	the	the	DET
ejpam-602	294	7	chosen	choose	VERB
ejpam-602	294	8	logical	logical	ADJ
ejpam-602	294	9	relation	relation	NOUN
ejpam-602	294	10	15	15	NUM
ejpam-602	294	11	35	35	NUM
ejpam-602	294	12	15	15	NUM
ejpam-602	294	13	35x	35x	NOUN
ejpam-602	294	14	x	x	X
ejpam-602	294	15	x	x	X
ejpam-602	294	16	x⇒	x⇒	PUNCT
ejpam-602	294	17	≡	≡	PROPN
ejpam-602	294	18	∪	∪	VERB
ejpam-602	294	19	so	so	SCONJ
ejpam-602	294	20	the	the	DET
ejpam-602	294	21	variables	variable	NOUN
ejpam-602	294	22	15	15	NUM
ejpam-602	294	23	35	35	NUM
ejpam-602	294	24	and	and	CCONJ
ejpam-602	294	25	x	x	NOUN
ejpam-602	294	26	x	x	PRON
ejpam-602	294	27	would	would	AUX
ejpam-602	294	28	naturally	naturally	ADV
ejpam-602	294	29	come	come	VERB
ejpam-602	294	30	into	into	ADP
ejpam-602	294	31	play	play	NOUN
ejpam-602	294	32	.	.	PUNCT
ejpam-602	295	1	the	the	DET
ejpam-602	295	2	following	follow	VERB
ejpam-602	295	3	table	table	NOUN
ejpam-602	295	4	6	6	NUM
ejpam-602	295	5	shows	show	VERB
ejpam-602	295	6	the	the	DET
ejpam-602	295	7	results	result	NOUN
ejpam-602	295	8	for	for	ADP
ejpam-602	295	9	the	the	DET
ejpam-602	295	10	same	same	ADJ
ejpam-602	295	11	logical	logical	ADJ
ejpam-602	295	12	function	function	NOUN
ejpam-602	295	13	for	for	ADP
ejpam-602	295	14	different	different	ADJ
ejpam-602	295	15	values	value	NOUN
ejpam-602	295	16	of	of	ADP
ejpam-602	295	17	q	q	NOUN
ejpam-602	295	18	after	after	ADP
ejpam-602	295	19	1	1	NUM
ejpam-602	295	20	iteration	iteration	NOUN
ejpam-602	295	21	.	.	PUNCT
ejpam-602	296	1	table	table	NOUN
ejpam-602	296	2	6	6	NUM
ejpam-602	296	3	:	:	PUNCT
ejpam-602	296	4	correct	correct	ADJ
ejpam-602	296	5	predictions	prediction	NOUN
ejpam-602	296	6	of	of	ADP
ejpam-602	296	7	y	y	PROPN
ejpam-602	296	8	after	after	ADP
ejpam-602	296	9	1	1	NUM
ejpam-602	296	10	iteration	iteration	NOUN
ejpam-602	296	11	for	for	ADP
ejpam-602	296	12	different	different	ADJ
ejpam-602	296	13	values	value	NOUN
ejpam-602	296	14	of	of	ADP
ejpam-602	296	15	q	q	PROPN
ejpam-602	296	16	.	.	PUNCT
ejpam-602	297	1	value	value	NOUN
ejpam-602	297	2	of	of	ADP
ejpam-602	297	3	q	q	PROPN
ejpam-602	297	4	1	1	NUM
ejpam-602	297	5	0.9	0.9	NUM
ejpam-602	297	6	0.8	0.8	NUM
ejpam-602	297	7	0.7	0.7	NUM
ejpam-602	297	8	0.6	0.6	NUM
ejpam-602	297	9	best	good	ADJ
ejpam-602	297	10	logical	logical	ADJ
ejpam-602	297	11	functions	function	NOUN
ejpam-602	297	12	15	15	NUM
ejpam-602	297	13	35x	35x	NOUN
ejpam-602	297	14	x⇒	x⇒	PUNCT
ejpam-602	297	15	15	15	NUM
ejpam-602	297	16	35x	35x	NOUN
ejpam-602	297	17	x⇒	x⇒	PUNCT
ejpam-602	297	18	15	15	NUM
ejpam-602	297	19	35x	35x	NOUN
ejpam-602	297	20	x⇒	x⇒	PUNCT
ejpam-602	297	21	15	15	NUM
ejpam-602	297	22	35x	35x	NOUN
ejpam-602	297	23	x⇒	x⇒	PUNCT
ejpam-602	297	24	15	15	NUM
ejpam-602	297	25	35x	35x	NOUN
ejpam-602	297	26	x⇒	x⇒	PUNCT
ejpam-602	298	1	fraction	fraction	NOUN
ejpam-602	298	2	of	of	ADP
ejpam-602	298	3	correct	correct	ADJ
ejpam-602	298	4	predictions	prediction	NOUN
ejpam-602	298	5	in	in	ADP
ejpam-602	298	6	the	the	DET
ejpam-602	298	7	training	training	NOUN
ejpam-602	298	8	set	set	VERB
ejpam-602	298	9	150/150	150/150	NUM
ejpam-602	298	10	(	(	PUNCT
ejpam-602	298	11	100	100	NUM
ejpam-602	298	12	%	%	NOUN
ejpam-602	298	13	)	)	PUNCT
ejpam-602	299	1	143/150	143/150	PROPN
ejpam-602	299	2	(	(	PUNCT
ejpam-602	299	3	95	95	NUM
ejpam-602	299	4	%	%	NOUN
ejpam-602	299	5	)	)	PUNCT
ejpam-602	300	1	134/150	134/150	PROPN
ejpam-602	300	2	(	(	PUNCT
ejpam-602	300	3	89	89	NUM
ejpam-602	300	4	%	%	NOUN
ejpam-602	300	5	)	)	PUNCT
ejpam-602	300	6	132/150	132/150	PROPN
ejpam-602	300	7	(	(	PUNCT
ejpam-602	300	8	88	88	NUM
ejpam-602	300	9	%	%	NOUN
ejpam-602	300	10	)	)	PUNCT
ejpam-602	300	11	124/150	124/150	PROPN
ejpam-602	300	12	(	(	PUNCT
ejpam-602	300	13	83	83	NUM
ejpam-602	300	14	%	%	NOUN
ejpam-602	300	15	)	)	PUNCT
ejpam-602	301	1	j.	j.	PROPN
ejpam-602	301	2	farlow	farlow	PROPN
ejpam-602	301	3	/	/	SYM
ejpam-602	301	4	eur	eur	PROPN
ejpam-602	301	5	.	.	PUNCT
ejpam-602	302	1	j.	j.	PROPN
ejpam-602	302	2	pure	pure	PROPN
ejpam-602	302	3	appl	appl	PROPN
ejpam-602	302	4	.	.	PUNCT
ejpam-602	303	1	math	math	NOUN
ejpam-602	303	2	172	172	NUM
ejpam-602	303	3	fraction	fraction	NOUN
ejpam-602	303	4	of	of	ADP
ejpam-602	303	5	correct	correct	ADJ
ejpam-602	303	6	predictions	prediction	NOUN
ejpam-602	303	7	in	in	ADP
ejpam-602	303	8	the	the	DET
ejpam-602	303	9	checking	checking	NOUN
ejpam-602	303	10	set	set	NOUN
ejpam-602	303	11	100/100	100/100	NUM
ejpam-602	303	12	(	(	PUNCT
ejpam-602	303	13	100	100	NUM
ejpam-602	303	14	%	%	NOUN
ejpam-602	303	15	)	)	PUNCT
ejpam-602	303	16	97/100	97/100	NUM
ejpam-602	303	17	(	(	PUNCT
ejpam-602	303	18	97	97	NUM
ejpam-602	303	19	%	%	NOUN
ejpam-602	303	20	)	)	PUNCT
ejpam-602	303	21	89/100	89/100	NUM
ejpam-602	303	22	(	(	PUNCT
ejpam-602	303	23	89	89	NUM
ejpam-602	303	24	%	%	NOUN
ejpam-602	303	25	)	)	PUNCT
ejpam-602	304	1	84/100	84/100	NUM
ejpam-602	304	2	(	(	PUNCT
ejpam-602	304	3	84	84	NUM
ejpam-602	304	4	%	%	NOUN
ejpam-602	304	5	)	)	PUNCT
ejpam-602	305	1	79/100	79/100	NUM
ejpam-602	305	2	(	(	PUNCT
ejpam-602	305	3	79	79	NUM
ejpam-602	305	4	%	%	NOUN
ejpam-602	305	5	)	)	PUNCT
ejpam-602	305	6	experiment	experiment	NOUN
ejpam-602	305	7	2	2	NUM
ejpam-602	305	8	:	:	PUNCT
ejpam-602	305	9	using	use	VERB
ejpam-602	305	10	the	the	DET
ejpam-602	305	11	same	same	ADJ
ejpam-602	305	12	data	datum	NOUN
ejpam-602	305	13	and	and	CCONJ
ejpam-602	305	14	values	value	NOUN
ejpam-602	305	15	of	of	ADP
ejpam-602	305	16	q	q	NOUN
ejpam-602	305	17	as	as	ADP
ejpam-602	305	18	in	in	ADP
ejpam-602	305	19	experiment	experiment	NOUN
ejpam-602	305	20	1	1	NUM
ejpam-602	305	21	,	,	PUNCT
ejpam-602	305	22	but	but	CCONJ
ejpam-602	305	23	with	with	ADP
ejpam-602	305	24	the	the	DET
ejpam-602	305	25	new	new	ADJ
ejpam-602	305	26	logical	logical	ADJ
ejpam-602	305	27	function	function	NOUN
ejpam-602	305	28	(	(	PUNCT
ejpam-602	305	29	)	)	PUNCT
ejpam-602	305	30	(	(	PUNCT
ejpam-602	305	31	)	)	PUNCT
ejpam-602	305	32	5	5	NUM
ejpam-602	305	33	10	10	NUM
ejpam-602	305	34	15	15	NUM
ejpam-602	305	35	20y	20y	NOUN
ejpam-602	305	36	x	x	PUNCT
ejpam-602	305	37	x	x	PUNCT
ejpam-602	305	38	x	x	SYM
ejpam-602	305	39	x=	x=	PUNCT
ejpam-602	305	40	∪	∪	ADP
ejpam-602	305	41	∩	∩	NOUN
ejpam-602	305	42	∪	∪	ADJ
ejpam-602	305	43	,	,	PUNCT
ejpam-602	305	44	we	we	PRON
ejpam-602	305	45	arrived	arrive	VERB
ejpam-602	305	46	at	at	ADP
ejpam-602	305	47	the	the	DET
ejpam-602	305	48	results	result	NOUN
ejpam-602	305	49	in	in	ADP
ejpam-602	305	50	table	table	NOUN
ejpam-602	305	51	7	7	NUM
ejpam-602	305	52	after	after	ADP
ejpam-602	305	53	two	two	NUM
ejpam-602	305	54	iterations	iteration	NOUN
ejpam-602	305	55	.	.	PUNCT
ejpam-602	306	1	in	in	ADP
ejpam-602	306	2	these	these	DET
ejpam-602	306	3	cases	case	NOUN
ejpam-602	306	4	the	the	DET
ejpam-602	306	5	algorithm	algorithm	NOUN
ejpam-602	306	6	reached	reach	VERB
ejpam-602	306	7	its	its	PRON
ejpam-602	306	8	maximum	maximum	ADJ
ejpam-602	306	9	predictions	prediction	NOUN
ejpam-602	306	10	after	after	ADP
ejpam-602	306	11	only	only	ADV
ejpam-602	306	12	two	two	NUM
ejpam-602	306	13	iterations	iteration	NOUN
ejpam-602	306	14	.	.	PUNCT
ejpam-602	307	1	note	note	VERB
ejpam-602	307	2	that	that	SCONJ
ejpam-602	307	3	when	when	SCONJ
ejpam-602	307	4	0.5q	0.5q	PRON
ejpam-602	307	5	=	=	PUNCT
ejpam-602	307	6	the	the	DET
ejpam-602	307	7	maximum	maximum	ADJ
ejpam-602	307	8	logical	logical	ADJ
ejpam-602	307	9	function	function	NOUN
ejpam-602	307	10	was	be	AUX
ejpam-602	307	11	close	close	ADJ
ejpam-602	307	12	to	to	ADP
ejpam-602	307	13	the	the	DET
ejpam-602	307	14	entered	enter	VERB
ejpam-602	307	15	logical	logical	ADJ
ejpam-602	307	16	function	function	NOUN
ejpam-602	307	17	but	but	CCONJ
ejpam-602	307	18	not	not	PART
ejpam-602	307	19	exact	exact	ADJ
ejpam-602	307	20	.	.	PUNCT
ejpam-602	308	1	this	this	PRON
ejpam-602	308	2	is	be	AUX
ejpam-602	308	3	not	not	PART
ejpam-602	308	4	surprising	surprising	ADJ
ejpam-602	308	5	since	since	SCONJ
ejpam-602	308	6	only	only	ADV
ejpam-602	308	7	50	50	NUM
ejpam-602	308	8	%	%	NOUN
ejpam-602	308	9	of	of	ADP
ejpam-602	308	10	the	the	DET
ejpam-602	308	11	dependent	dependent	ADJ
ejpam-602	308	12	variables	variable	NOUN
ejpam-602	308	13	were	be	AUX
ejpam-602	308	14	computed	compute	VERB
ejpam-602	308	15	from	from	ADP
ejpam-602	308	16	(	(	PUNCT
ejpam-602	308	17	)	)	PUNCT
ejpam-602	308	18	(	(	PUNCT
ejpam-602	308	19	)	)	PUNCT
ejpam-602	308	20	5	5	NUM
ejpam-602	308	21	10	10	NUM
ejpam-602	308	22	15	15	NUM
ejpam-602	308	23	20iy	20iy	NUM
ejpam-602	308	24	x	x	SYM
ejpam-602	309	1	x	x	PUNCT
ejpam-602	309	2	x	x	SYM
ejpam-602	309	3	x=	x=	PUNCT
ejpam-602	309	4	∪	∪	ADP
ejpam-602	309	5	∩	∩	NOUN
ejpam-602	309	6	∪	∪	ADJ
ejpam-602	309	7	.	.	PUNCT
ejpam-602	309	8	table	table	NOUN
ejpam-602	309	9	7	7	NUM
ejpam-602	309	10	:	:	PUNCT
ejpam-602	309	11	results	result	NOUN
ejpam-602	309	12	after	after	ADP
ejpam-602	309	13	2	2	NUM
ejpam-602	309	14	iterations	iteration	NOUN
ejpam-602	309	15	value	value	NOUN
ejpam-602	309	16	of	of	ADP
ejpam-602	309	17	q	q	PROPN
ejpam-602	309	18	1	1	NUM
ejpam-602	309	19	0.8	0.8	NUM
ejpam-602	309	20	best	well	ADV
ejpam-602	309	21	logical	logical	ADJ
ejpam-602	309	22	function	function	NOUN
ejpam-602	309	23	(	(	PUNCT
ejpam-602	309	24	)	)	PUNCT
ejpam-602	309	25	(	(	PUNCT
ejpam-602	309	26	)	)	PUNCT
ejpam-602	309	27	5	5	NUM
ejpam-602	309	28	10	10	NUM
ejpam-602	309	29	15	15	NUM
ejpam-602	309	30	20x	20x	NOUN
ejpam-602	309	31	x	x	SYM
ejpam-602	309	32	x	x	PUNCT
ejpam-602	309	33	x∪	x∪	PROPN
ejpam-602	309	34	∩	∩	PROPN
ejpam-602	309	35	∪	∪	X
ejpam-602	309	36	(	(	PUNCT
ejpam-602	309	37	)	)	PUNCT
ejpam-602	309	38	(	(	PUNCT
ejpam-602	309	39	)	)	PUNCT
ejpam-602	309	40	5	5	NUM
ejpam-602	309	41	10	10	NUM
ejpam-602	309	42	15	15	NUM
ejpam-602	309	43	20x	20x	NOUN
ejpam-602	309	44	x	x	SYM
ejpam-602	309	45	x	x	SYM
ejpam-602	309	46	x∪	x∪	PROPN
ejpam-602	309	47	∩	∩	NOUN
ejpam-602	309	48	∪	∪	VERB
ejpam-602	309	49	fraction	fraction	NOUN
ejpam-602	309	50	of	of	ADP
ejpam-602	309	51	correct	correct	ADJ
ejpam-602	309	52	predictions	prediction	NOUN
ejpam-602	309	53	in	in	ADP
ejpam-602	309	54	the	the	DET
ejpam-602	309	55	training	training	NOUN
ejpam-602	309	56	set	set	VERB
ejpam-602	309	57	150/150	150/150	NUM
ejpam-602	309	58	(	(	PUNCT
ejpam-602	309	59	100	100	NUM
ejpam-602	309	60	%	%	NOUN
ejpam-602	309	61	)	)	PUNCT
ejpam-602	310	1	140/150	140/150	PROPN
ejpam-602	310	2	(	(	PUNCT
ejpam-602	310	3	93	93	NUM
ejpam-602	310	4	%	%	NOUN
ejpam-602	310	5	)	)	PUNCT
ejpam-602	310	6	fraction	fraction	NOUN
ejpam-602	310	7	of	of	ADP
ejpam-602	310	8	correct	correct	ADJ
ejpam-602	310	9	predictions	prediction	NOUN
ejpam-602	310	10	in	in	ADP
ejpam-602	310	11	the	the	DET
ejpam-602	310	12	checking	checking	NOUN
ejpam-602	310	13	set	set	NOUN
ejpam-602	310	14	100/100	100/100	NUM
ejpam-602	310	15	(	(	PUNCT
ejpam-602	310	16	100	100	NUM
ejpam-602	310	17	%	%	NOUN
ejpam-602	310	18	)	)	PUNCT
ejpam-602	310	19	87/100	87/100	NUM
ejpam-602	310	20	(	(	PUNCT
ejpam-602	310	21	87	87	NUM
ejpam-602	310	22	%	%	NOUN
ejpam-602	310	23	)	)	PUNCT
ejpam-602	310	24	value	value	NOUN
ejpam-602	310	25	of	of	ADP
ejpam-602	310	26	q	q	PROPN
ejpam-602	310	27	0.6	0.6	NUM
ejpam-602	310	28	0.5	0.5	NUM
ejpam-602	310	29	best	good	ADJ
ejpam-602	310	30	logical	logical	ADJ
ejpam-602	310	31	function	function	NOUN
ejpam-602	310	32	(	(	PUNCT
ejpam-602	310	33	)	)	PUNCT
ejpam-602	310	34	(	(	PUNCT
ejpam-602	310	35	)	)	PUNCT
ejpam-602	310	36	5	5	NUM
ejpam-602	310	37	10	10	NUM
ejpam-602	310	38	15	15	NUM
ejpam-602	310	39	20x	20x	NOUN
ejpam-602	310	40	x	x	SYM
ejpam-602	310	41	x	x	PUNCT
ejpam-602	310	42	x∪	x∪	PROPN
ejpam-602	310	43	∩	∩	PROPN
ejpam-602	310	44	∪	∪	X
ejpam-602	310	45	(	(	PUNCT
ejpam-602	310	46	)	)	PUNCT
ejpam-602	310	47	(	(	PUNCT
ejpam-602	310	48	)	)	PUNCT
ejpam-602	310	49	10	10	NUM
ejpam-602	310	50	20	20	NUM
ejpam-602	310	51	10	10	NUM
ejpam-602	310	52	15x	15x	NOUN
ejpam-602	310	53	x	x	PUNCT
ejpam-602	310	54	x	x	PUNCT
ejpam-602	310	55	x∪	x∪	PROPN
ejpam-602	310	56	∩	∩	NOUN
ejpam-602	310	57	∪	∪	VERB
ejpam-602	310	58	fraction	fraction	NOUN
ejpam-602	310	59	of	of	ADP
ejpam-602	310	60	correct	correct	ADJ
ejpam-602	310	61	predictions	prediction	NOUN
ejpam-602	310	62	in	in	ADP
ejpam-602	310	63	the	the	DET
ejpam-602	310	64	training	training	NOUN
ejpam-602	310	65	set	set	VERB
ejpam-602	310	66	120/150	120/150	PROPN
ejpam-602	310	67	(	(	PUNCT
ejpam-602	310	68	80	80	NUM
ejpam-602	310	69	%	%	NOUN
ejpam-602	310	70	)	)	PUNCT
ejpam-602	311	1	110/150	110/150	PROPN
ejpam-602	311	2	(	(	PUNCT
ejpam-602	311	3	73	73	NUM
ejpam-602	311	4	%	%	NOUN
ejpam-602	311	5	)	)	PUNCT
ejpam-602	311	6	fraction	fraction	NOUN
ejpam-602	311	7	of	of	ADP
ejpam-602	311	8	correct	correct	ADJ
ejpam-602	311	9	predictions	prediction	NOUN
ejpam-602	311	10	in	in	ADP
ejpam-602	311	11	the	the	DET
ejpam-602	311	12	checking	checking	NOUN
ejpam-602	311	13	set	set	NOUN
ejpam-602	311	14	74/100	74/100	NUM
ejpam-602	311	15	(	(	PUNCT
ejpam-602	311	16	74	74	NUM
ejpam-602	311	17	%	%	NOUN
ejpam-602	311	18	)	)	PUNCT
ejpam-602	311	19	71/100	71/100	NUM
ejpam-602	311	20	(	(	PUNCT
ejpam-602	311	21	71	71	NUM
ejpam-602	311	22	%	%	NOUN
ejpam-602	311	23	)	)	PUNCT
ejpam-602	311	24	5	5	NUM
ejpam-602	311	25	.	.	PUNCT
ejpam-602	312	1	conclusions	conclusion	NOUN
ejpam-602	312	2	from	from	ADP
ejpam-602	312	3	the	the	DET
ejpam-602	312	4	experiments	experiment	NOUN
ejpam-602	312	5	performed	perform	VERB
ejpam-602	312	6	we	we	PRON
ejpam-602	312	7	conclude	conclude	VERB
ejpam-602	312	8	that	that	SCONJ
ejpam-602	312	9	the	the	DET
ejpam-602	312	10	gmdh	gmdh	ADJ
ejpam-602	312	11	algorithm	algorithm	NOUN
ejpam-602	312	12	is	be	AUX
ejpam-602	312	13	an	an	DET
ejpam-602	312	14	effective	effective	ADJ
ejpam-602	312	15	tool	tool	NOUN
ejpam-602	312	16	in	in	ADP
ejpam-602	312	17	finding	find	VERB
ejpam-602	312	18	logical	logical	ADJ
ejpam-602	312	19	relations	relation	NOUN
ejpam-602	312	20	among	among	ADP
ejpam-602	312	21	predictor	predictor	NOUN
ejpam-602	312	22	variables	variable	NOUN
ejpam-602	312	23	.	.	PUNCT
ejpam-602	313	1	j.	j.	PROPN
ejpam-602	313	2	farlow	farlow	PROPN
ejpam-602	313	3	/	/	SYM
ejpam-602	313	4	eur	eur	PROPN
ejpam-602	313	5	.	.	PUNCT
ejpam-602	314	1	j.	j.	PROPN
ejpam-602	314	2	pure	pure	PROPN
ejpam-602	314	3	appl	appl	PROPN
ejpam-602	314	4	.	.	PUNCT
ejpam-602	315	1	math	math	NOUN
ejpam-602	315	2	173	173	NUM
ejpam-602	315	3	references	reference	NOUN
ejpam-602	315	4	[	[	X
ejpam-602	315	5	1	1	NUM
ejpam-602	315	6	]	]	X
ejpam-602	315	7	i.	i.	NOUN
ejpam-602	315	8	ruczinski	ruczinski	PROPN
ejpam-602	315	9	,	,	PUNCT
ejpam-602	315	10	c.	c.	PROPN
ejpam-602	315	11	kooperberg	kooperberg	PROPN
ejpam-602	315	12	,	,	PUNCT
ejpam-602	315	13	and	and	CCONJ
ejpam-602	315	14	m.	m.	PROPN
ejpam-602	315	15	leblanc	leblanc	PROPN
ejpam-602	315	16	.	.	PUNCT
ejpam-602	315	17	logic	logic	PROPN
ejpam-602	315	18	regression	regression	NOUN
ejpam-602	315	19	.	.	PUNCT
ejpam-602	316	1	journal	journal	NOUN
ejpam-602	316	2	of	of	ADP
ejpam-602	316	3	computational	computational	ADJ
ejpam-602	316	4	and	and	CCONJ
ejpam-602	316	5	graphical	graphical	ADJ
ejpam-602	316	6	statistics	statistic	NOUN
ejpam-602	316	7	12(3	12(3	NUM
ejpam-602	316	8	)	)	PUNCT
ejpam-602	316	9	,	,	PUNCT
ejpam-602	316	10	475	475	NUM
ejpam-602	316	11	-	-	SYM
ejpam-602	316	12	511	511	NUM
ejpam-602	316	13	,	,	PUNCT
ejpam-602	316	14	2003	2003	NUM
ejpam-602	316	15	.	.	PUNCT
ejpam-602	317	1	[	[	X
ejpam-602	317	2	2	2	X
ejpam-602	317	3	]	]	PUNCT
ejpam-602	317	4	s.	s.	PROPN
ejpam-602	317	5	j.	j.	PROPN
ejpam-602	317	6	farlow	farlow	PROPN
ejpam-602	317	7	.	.	PUNCT
ejpam-602	318	1	self	self	NOUN
ejpam-602	318	2	-	-	PUNCT
ejpam-602	318	3	organizing	organize	VERB
ejpam-602	318	4	methods	method	NOUN
ejpam-602	318	5	in	in	ADP
ejpam-602	318	6	modeling	modeling	NOUN
ejpam-602	318	7	.	.	PUNCT
ejpam-602	319	1	gmdh	gmdh	ADJ
ejpam-602	319	2	type	type	NOUN
ejpam-602	319	3	algorithms	algorithm	NOUN
ejpam-602	319	4	,	,	PUNCT
ejpam-602	319	5	s.	s.	PROPN
ejpam-602	319	6	j.	j.	PROPN
ejpam-602	319	7	farlow	farlow	PROPN
ejpam-602	319	8	,	,	PUNCT
ejpam-602	319	9	editor	editor	NOUN
ejpam-602	319	10	.	.	PUNCT
ejpam-602	320	1	marcel	marcel	PROPN
ejpam-602	320	2	dekker	dekker	PROPN
ejpam-602	320	3	,	,	PUNCT
ejpam-602	320	4	1984	1984	NUM
ejpam-602	320	5	.	.	PUNCT