id	sid	tid	token	lemma	pos
ajst-5394	1	1	academic	academic	ADJ
ajst-5394	1	2	journal	journal	NOUN
ajst-5394	1	3	of	of	ADP
ajst-5394	1	4	science	science	NOUN
ajst-5394	1	5	and	and	CCONJ
ajst-5394	1	6	technology	technology	NOUN
ajst-5394	1	7	issn	issn	NOUN
ajst-5394	1	8	:	:	PUNCT
ajst-5394	1	9	2771	2771	NUM
ajst-5394	1	10	-	-	SYM
ajst-5394	1	11	3032	3032	NUM
ajst-5394	1	12	|	|	NOUN
ajst-5394	1	13	vol	vol	NOUN
ajst-5394	1	14	.	.	PROPN
ajst-5394	2	1	5	5	NUM
ajst-5394	2	2	,	,	PUNCT
ajst-5394	2	3	no	no	INTJ
ajst-5394	2	4	.	.	NOUN
ajst-5394	2	5	1	1	NUM
ajst-5394	2	6	,	,	PUNCT
ajst-5394	2	7	2023	2023	NUM
ajst-5394	2	8	91	91	NUM
ajst-5394	2	9	regression	regression	NOUN
ajst-5394	2	10	prediction	prediction	NOUN
ajst-5394	2	11	of	of	ADP
ajst-5394	2	12	effective	effective	ADJ
ajst-5394	2	13	temperature	temperature	NOUN
ajst-5394	2	14	of	of	ADP
ajst-5394	2	15	stellar	stellar	ADJ
ajst-5394	2	16	spectrum	spectrum	NOUN
ajst-5394	2	17	based	base	VERB
ajst-5394	2	18	on	on	ADP
ajst-5394	2	19	kernel	kernel	PROPN
ajst-5394	2	20	method	method	PROPN
ajst-5394	2	21	xiang	xiang	PROPN
ajst-5394	2	22	ji	ji	PROPN
ajst-5394	2	23	,	,	PUNCT
ajst-5394	2	24	yadong	yadong	PROPN
ajst-5394	2	25	wu	wu	PROPN
ajst-5394	2	26	*	*	PROPN
ajst-5394	2	27	,	,	PUNCT
ajst-5394	2	28	wei	wei	PROPN
ajst-5394	2	29	zhang	zhang	PROPN
ajst-5394	2	30	,	,	PUNCT
ajst-5394	2	31	yi	yi	PROPN
ajst-5394	2	32	li	li	PROPN
ajst-5394	2	33	sichuan	sichuan	PROPN
ajst-5394	2	34	university	university	PROPN
ajst-5394	2	35	of	of	ADP
ajst-5394	2	36	science	science	NOUN
ajst-5394	2	37	and	and	CCONJ
ajst-5394	2	38	engineering	engineering	NOUN
ajst-5394	2	39	,	,	PUNCT
ajst-5394	2	40	china	china	PROPN
ajst-5394	2	41	*	*	PUNCT
ajst-5394	2	42	corresponding	correspond	VERB
ajst-5394	2	43	author	author	NOUN
ajst-5394	2	44	:	:	PUNCT
ajst-5394	2	45	yadong	yadong	PROPN
ajst-5394	2	46	wu	wu	PROPN
ajst-5394	2	47	(	(	PUNCT
ajst-5394	2	48	email	email	NOUN
ajst-5394	2	49	:	:	PUNCT
ajst-5394	2	50	wyd028@163.com	wyd028@163.com	X
ajst-5394	2	51	)	)	PUNCT
ajst-5394	2	52	abstract	abstract	NOUN
ajst-5394	2	53	:	:	PUNCT
ajst-5394	2	54	there	there	PRON
ajst-5394	2	55	are	be	VERB
ajst-5394	2	56	many	many	ADJ
ajst-5394	2	57	factors	factor	NOUN
ajst-5394	2	58	that	that	PRON
ajst-5394	2	59	lead	lead	VERB
ajst-5394	2	60	to	to	ADP
ajst-5394	2	61	the	the	DET
ajst-5394	2	62	huge	huge	ADJ
ajst-5394	2	63	difference	difference	NOUN
ajst-5394	2	64	in	in	ADP
ajst-5394	2	65	stellar	stellar	ADJ
ajst-5394	2	66	spectra	spectra	NOUN
ajst-5394	2	67	,	,	PUNCT
ajst-5394	2	68	the	the	DET
ajst-5394	2	69	most	most	ADV
ajst-5394	2	70	important	important	ADJ
ajst-5394	2	71	of	of	ADP
ajst-5394	2	72	which	which	PRON
ajst-5394	2	73	are	be	AUX
ajst-5394	2	74	atmospheric	atmospheric	ADJ
ajst-5394	2	75	physical	physical	ADJ
ajst-5394	2	76	parameters	parameter	NOUN
ajst-5394	2	77	,	,	PUNCT
ajst-5394	2	78	namely	namely	ADV
ajst-5394	2	79	,	,	PUNCT
ajst-5394	2	80	effective	effective	ADJ
ajst-5394	2	81	temperature	temperature	NOUN
ajst-5394	2	82	,	,	PUNCT
ajst-5394	2	83	surface	surface	NOUN
ajst-5394	2	84	gravity	gravity	NOUN
ajst-5394	2	85	and	and	CCONJ
ajst-5394	2	86	chemical	chemical	NOUN
ajst-5394	2	87	abundance	abundance	NOUN
ajst-5394	2	88	.	.	PUNCT
ajst-5394	3	1	this	this	DET
ajst-5394	3	2	study	study	NOUN
ajst-5394	3	3	is	be	AUX
ajst-5394	3	4	based	base	VERB
ajst-5394	3	5	on	on	ADP
ajst-5394	3	6	the	the	DET
ajst-5394	3	7	classified	classified	PROPN
ajst-5394	3	8	star	star	PROPN
ajst-5394	3	9	data	datum	NOUN
ajst-5394	3	10	in	in	ADP
ajst-5394	3	11	lamost	lamost	ADJ
ajst-5394	3	12	dr6	dr6	NOUN
ajst-5394	3	13	with	with	ADP
ajst-5394	3	14	a	a	DET
ajst-5394	3	15	temperature	temperature	NOUN
ajst-5394	3	16	value	value	NOUN
ajst-5394	3	17	of	of	ADP
ajst-5394	3	18	7500	7500	NUM
ajst-5394	3	19	-	-	PUNCT
ajst-5394	3	20	9000k	9000k	NUM
ajst-5394	3	21	and	and	CCONJ
ajst-5394	3	22	a	a	DET
ajst-5394	3	23	signal	signal	NOUN
ajst-5394	3	24	-	-	PUNCT
ajst-5394	3	25	to	to	ADP
ajst-5394	3	26	-	-	PUNCT
ajst-5394	3	27	noise	noise	NOUN
ajst-5394	3	28	ratio	ratio	NOUN
ajst-5394	3	29	of	of	ADP
ajst-5394	3	30	s	s	NOUN
ajst-5394	3	31	/	/	SYM
ajst-5394	3	32	n	n	ADV
ajst-5394	3	33	greater	great	ADJ
ajst-5394	3	34	than	than	ADP
ajst-5394	3	35	50	50	NUM
ajst-5394	3	36	.	.	PUNCT
ajst-5394	4	1	the	the	DET
ajst-5394	4	2	results	result	NOUN
ajst-5394	4	3	of	of	ADP
ajst-5394	4	4	the	the	DET
ajst-5394	4	5	two	two	NUM
ajst-5394	4	6	methods	method	NOUN
ajst-5394	4	7	are	be	AUX
ajst-5394	4	8	compared	compare	VERB
ajst-5394	4	9	through	through	ADP
ajst-5394	4	10	the	the	DET
ajst-5394	4	11	regression	regression	NOUN
ajst-5394	4	12	verification	verification	NOUN
ajst-5394	4	13	of	of	ADP
ajst-5394	4	14	nuclear	nuclear	ADJ
ajst-5394	4	15	least	least	ADJ
ajst-5394	4	16	squares	square	NOUN
ajst-5394	4	17	regression	regression	NOUN
ajst-5394	4	18	(	(	PUNCT
ajst-5394	4	19	klsr	klsr	PROPN
ajst-5394	4	20	)	)	PUNCT
ajst-5394	4	21	and	and	CCONJ
ajst-5394	4	22	nuclear	nuclear	ADJ
ajst-5394	4	23	pca	pca	NOUN
ajst-5394	4	24	regression	regression	NOUN
ajst-5394	4	25	(	(	PUNCT
ajst-5394	4	26	kpcr	kpcr	PROPN
ajst-5394	4	27	)	)	PUNCT
ajst-5394	4	28	,	,	PUNCT
ajst-5394	4	29	the	the	DET
ajst-5394	4	30	scope	scope	NOUN
ajst-5394	4	31	of	of	ADP
ajst-5394	4	32	application	application	NOUN
ajst-5394	4	33	of	of	ADP
ajst-5394	4	34	the	the	DET
ajst-5394	4	35	two	two	NUM
ajst-5394	4	36	methods	method	NOUN
ajst-5394	4	37	is	be	AUX
ajst-5394	4	38	discussed	discuss	VERB
ajst-5394	4	39	,	,	PUNCT
ajst-5394	4	40	and	and	CCONJ
ajst-5394	4	41	the	the	DET
ajst-5394	4	42	two	two	NUM
ajst-5394	4	43	most	most	ADV
ajst-5394	4	44	important	important	ADJ
ajst-5394	4	45	lick	lick	ADJ
ajst-5394	4	46	parameters	parameter	NOUN
ajst-5394	4	47	affecting	affect	VERB
ajst-5394	4	48	the	the	DET
ajst-5394	4	49	effective	effective	ADJ
ajst-5394	4	50	temperature	temperature	NOUN
ajst-5394	4	51	are	be	AUX
ajst-5394	4	52	regressed	regress	VERB
ajst-5394	4	53	.	.	PUNCT
ajst-5394	5	1	by	by	ADP
ajst-5394	5	2	regressing	regress	VERB
ajst-5394	5	3	the	the	DET
ajst-5394	5	4	effective	effective	ADJ
ajst-5394	5	5	temperature	temperature	NOUN
ajst-5394	5	6	of	of	ADP
ajst-5394	5	7	such	such	ADJ
ajst-5394	5	8	stars	star	NOUN
ajst-5394	5	9	,	,	PUNCT
ajst-5394	5	10	a	a	DET
ajst-5394	5	11	method	method	NOUN
ajst-5394	5	12	for	for	ADP
ajst-5394	5	13	predicting	predict	VERB
ajst-5394	5	14	the	the	DET
ajst-5394	5	15	effective	effective	ADJ
ajst-5394	5	16	temperature	temperature	NOUN
ajst-5394	5	17	of	of	ADP
ajst-5394	5	18	measured	measure	VERB
ajst-5394	5	19	spectral	spectral	ADJ
ajst-5394	5	20	data	datum	NOUN
ajst-5394	5	21	under	under	ADP
ajst-5394	5	22	large	large	ADJ
ajst-5394	5	23	samples	sample	NOUN
ajst-5394	5	24	is	be	AUX
ajst-5394	5	25	given	give	VERB
ajst-5394	5	26	,	,	PUNCT
ajst-5394	5	27	which	which	PRON
ajst-5394	5	28	provides	provide	VERB
ajst-5394	5	29	a	a	DET
ajst-5394	5	30	certain	certain	ADJ
ajst-5394	5	31	reference	reference	NOUN
ajst-5394	5	32	for	for	ADP
ajst-5394	5	33	predicting	predict	VERB
ajst-5394	5	34	the	the	DET
ajst-5394	5	35	trend	trend	NOUN
ajst-5394	5	36	of	of	ADP
ajst-5394	5	37	star	star	NOUN
ajst-5394	5	38	evolution	evolution	NOUN
ajst-5394	5	39	and	and	CCONJ
ajst-5394	5	40	studying	study	VERB
ajst-5394	5	41	the	the	DET
ajst-5394	5	42	evolution	evolution	NOUN
ajst-5394	5	43	law	law	NOUN
ajst-5394	5	44	of	of	ADP
ajst-5394	5	45	such	such	ADJ
ajst-5394	5	46	stars	star	NOUN
ajst-5394	5	47	.	.	PUNCT
ajst-5394	6	1	keywords	keyword	NOUN
ajst-5394	6	2	:	:	PUNCT
ajst-5394	6	3	stellar	stellar	ADJ
ajst-5394	6	4	spectra	spectra	NOUN
ajst-5394	6	5	,	,	PUNCT
ajst-5394	6	6	effective	effective	ADJ
ajst-5394	6	7	temperature	temperature	NOUN
ajst-5394	6	8	,	,	PUNCT
ajst-5394	6	9	klsr	klsr	NOUN
ajst-5394	6	10	,	,	PUNCT
ajst-5394	6	11	kpcr	kpcr	PROPN
ajst-5394	6	12	,	,	PUNCT
ajst-5394	6	13	lick	lick	ADJ
ajst-5394	6	14	parameters	parameter	NOUN
ajst-5394	6	15	.	.	PUNCT
ajst-5394	7	1	1	1	X
ajst-5394	7	2	.	.	X
ajst-5394	7	3	introduction	introduction	NOUN
ajst-5394	7	4	in	in	ADP
ajst-5394	7	5	2000	2000	NUM
ajst-5394	7	6	,	,	PUNCT
ajst-5394	7	7	the	the	DET
ajst-5394	7	8	sloan	sloan	NOUN
ajst-5394	7	9	digital	digital	PROPN
ajst-5394	7	10	sky	sky	NOUN
ajst-5394	7	11	survey	survey	NOUN
ajst-5394	7	12	project	project	NOUN
ajst-5394	7	13	was	be	AUX
ajst-5394	7	14	officially	officially	ADV
ajst-5394	7	15	launched	launch	VERB
ajst-5394	7	16	,	,	PUNCT
ajst-5394	7	17	which	which	PRON
ajst-5394	7	18	is	be	AUX
ajst-5394	7	19	a	a	DET
ajst-5394	7	20	major	major	ADJ
ajst-5394	7	21	milestone	milestone	NOUN
ajst-5394	7	22	in	in	ADP
ajst-5394	7	23	astronomical	astronomical	ADJ
ajst-5394	7	24	observation	observation	NOUN
ajst-5394	7	25	.	.	PUNCT
ajst-5394	8	1	the	the	DET
ajst-5394	8	2	data	datum	NOUN
ajst-5394	8	3	obtained	obtain	VERB
ajst-5394	8	4	by	by	ADP
ajst-5394	8	5	the	the	DET
ajst-5394	8	6	project	project	NOUN
ajst-5394	8	7	in	in	ADP
ajst-5394	8	8	just	just	ADV
ajst-5394	8	9	a	a	DET
ajst-5394	8	10	few	few	ADJ
ajst-5394	8	11	weeks	week	NOUN
ajst-5394	8	12	has	have	AUX
ajst-5394	8	13	exceeded	exceed	VERB
ajst-5394	8	14	the	the	DET
ajst-5394	8	15	total	total	ADJ
ajst-5394	8	16	data	datum	NOUN
ajst-5394	8	17	in	in	ADP
ajst-5394	8	18	the	the	DET
ajst-5394	8	19	history	history	NOUN
ajst-5394	8	20	of	of	ADP
ajst-5394	8	21	human	human	ADJ
ajst-5394	8	22	astronomy	astronomy	NOUN
ajst-5394	8	23	.	.	PUNCT
ajst-5394	9	1	in	in	ADP
ajst-5394	9	2	exploring	explore	VERB
ajst-5394	9	3	the	the	DET
ajst-5394	9	4	scientific	scientific	ADJ
ajst-5394	9	5	research	research	NOUN
ajst-5394	9	6	of	of	ADP
ajst-5394	9	7	astronomical	astronomical	ADJ
ajst-5394	9	8	big	big	ADJ
ajst-5394	9	9	data	datum	NOUN
ajst-5394	9	10	,	,	PUNCT
ajst-5394	9	11	the	the	DET
ajst-5394	9	12	massive	massive	ADJ
ajst-5394	9	13	astronomical	astronomical	ADJ
ajst-5394	9	14	spectrum	spectrum	NOUN
ajst-5394	9	15	contains	contain	VERB
ajst-5394	9	16	rich	rich	ADJ
ajst-5394	9	17	information	information	NOUN
ajst-5394	9	18	.	.	PUNCT
ajst-5394	10	1	the	the	DET
ajst-5394	10	2	spectral	spectral	ADJ
ajst-5394	10	3	line	line	NOUN
ajst-5394	10	4	data	datum	NOUN
ajst-5394	10	5	includes	include	VERB
ajst-5394	10	6	the	the	DET
ajst-5394	10	7	chemical	chemical	NOUN
ajst-5394	10	8	composition	composition	NOUN
ajst-5394	10	9	,	,	PUNCT
ajst-5394	10	10	brightness	brightness	NOUN
ajst-5394	10	11	,	,	PUNCT
ajst-5394	10	12	temperature	temperature	NOUN
ajst-5394	10	13	,	,	PUNCT
ajst-5394	10	14	spatial	spatial	ADJ
ajst-5394	10	15	distribution	distribution	NOUN
ajst-5394	10	16	,	,	PUNCT
ajst-5394	10	17	composition	composition	NOUN
ajst-5394	10	18	and	and	CCONJ
ajst-5394	10	19	evolution	evolution	NOUN
ajst-5394	10	20	history	history	NOUN
ajst-5394	10	21	of	of	ADP
ajst-5394	10	22	celestial	celestial	ADJ
ajst-5394	10	23	bodies	body	NOUN
ajst-5394	10	24	.	.	PUNCT
ajst-5394	11	1	the	the	DET
ajst-5394	11	2	large	large	ADJ
ajst-5394	11	3	-	-	PUNCT
ajst-5394	11	4	area	area	NOUN
ajst-5394	11	5	multi	multi	ADJ
ajst-5394	11	6	-	-	ADJ
ajst-5394	11	7	target	target	ADJ
ajst-5394	11	8	optical	optical	ADJ
ajst-5394	11	9	fiber	fiber	NOUN
ajst-5394	11	10	spectral	spectral	ADJ
ajst-5394	11	11	telescope	telescope	NOUN
ajst-5394	11	12	[	[	X
ajst-5394	11	13	1	1	NUM
ajst-5394	11	14	]	]	PUNCT
ajst-5394	11	15	independently	independently	ADV
ajst-5394	11	16	designed	design	VERB
ajst-5394	11	17	by	by	ADP
ajst-5394	11	18	china	china	PROPN
ajst-5394	11	19	also	also	ADV
ajst-5394	11	20	officially	officially	ADV
ajst-5394	11	21	launched	launch	VERB
ajst-5394	11	22	the	the	DET
ajst-5394	11	23	sky	sky	NOUN
ajst-5394	11	24	survey	survey	NOUN
ajst-5394	11	25	in	in	ADP
ajst-5394	11	26	september	september	PROPN
ajst-5394	11	27	2012	2012	NUM
ajst-5394	11	28	.	.	PUNCT
ajst-5394	12	1	as	as	ADP
ajst-5394	12	2	of	of	ADP
ajst-5394	12	3	december	december	PROPN
ajst-5394	12	4	2017	2017	NUM
ajst-5394	12	5	,	,	PUNCT
ajst-5394	12	6	after	after	ADP
ajst-5394	12	7	six	six	NUM
ajst-5394	12	8	years	year	NOUN
ajst-5394	12	9	of	of	ADP
ajst-5394	12	10	sky	sky	NOUN
ajst-5394	12	11	survey	survey	NOUN
ajst-5394	12	12	by	by	ADP
ajst-5394	12	13	lamost	lamost	NOUN
ajst-5394	12	14	,	,	PUNCT
ajst-5394	12	15	the	the	DET
ajst-5394	12	16	spectral	spectral	ADJ
ajst-5394	12	17	data	datum	NOUN
ajst-5394	12	18	published	publish	VERB
ajst-5394	12	19	by	by	ADP
ajst-5394	12	20	the	the	DET
ajst-5394	12	21	virtual	virtual	ADJ
ajst-5394	12	22	observatory	observatory	NOUN
ajst-5394	12	23	reached	reach	VERB
ajst-5394	12	24	9017844	9017844	NUM
ajst-5394	12	25	spectra	spectra	NOUN
ajst-5394	12	26	,	,	PUNCT
ajst-5394	12	27	including	include	VERB
ajst-5394	12	28	8171443	8171443	NUM
ajst-5394	12	29	stars	star	NOUN
ajst-5394	12	30	,	,	PUNCT
ajst-5394	12	31	most	most	ADJ
ajst-5394	12	32	of	of	ADP
ajst-5394	12	33	which	which	PRON
ajst-5394	12	34	are	be	AUX
ajst-5394	12	35	the	the	DET
ajst-5394	12	36	spectra	spectra	NOUN
ajst-5394	12	37	of	of	ADP
ajst-5394	12	38	main	main	ADJ
ajst-5394	12	39	sequence	sequence	NOUN
ajst-5394	12	40	stars	star	NOUN
ajst-5394	12	41	.	.	PUNCT
ajst-5394	13	1	the	the	DET
ajst-5394	13	2	spectral	spectral	ADJ
ajst-5394	13	3	data	datum	NOUN
ajst-5394	13	4	used	use	VERB
ajst-5394	13	5	in	in	ADP
ajst-5394	13	6	this	this	DET
ajst-5394	13	7	study	study	NOUN
ajst-5394	13	8	is	be	AUX
ajst-5394	13	9	from	from	ADP
ajst-5394	13	10	lamost	lamost	ADJ
ajst-5394	13	11	dr6	dr6	NOUN
ajst-5394	13	12	.	.	PUNCT
ajst-5394	14	1	there	there	PRON
ajst-5394	14	2	are	be	VERB
ajst-5394	14	3	seven	seven	NUM
ajst-5394	14	4	types	type	NOUN
ajst-5394	14	5	of	of	ADP
ajst-5394	14	6	stars	star	NOUN
ajst-5394	14	7	including	include	VERB
ajst-5394	14	8	o	o	PROPN
ajst-5394	14	9	,	,	PUNCT
ajst-5394	14	10	b	b	PROPN
ajst-5394	14	11	,	,	PUNCT
ajst-5394	14	12	a	a	DET
ajst-5394	14	13	,	,	PUNCT
ajst-5394	14	14	f	f	X
ajst-5394	14	15	,	,	PUNCT
ajst-5394	14	16	g	g	PROPN
ajst-5394	14	17	,	,	PUNCT
ajst-5394	14	18	k	k	PROPN
ajst-5394	14	19	and	and	CCONJ
ajst-5394	14	20	m.	m.	NOUN
ajst-5394	14	21	each	each	DET
ajst-5394	14	22	data	datum	NOUN
ajst-5394	14	23	has	have	AUX
ajst-5394	14	24	been	be	AUX
ajst-5394	14	25	normalized	normalize	VERB
ajst-5394	14	26	,	,	PUNCT
ajst-5394	14	27	and	and	CCONJ
ajst-5394	14	28	the	the	DET
ajst-5394	14	29	logarithm	logarithm	NOUN
ajst-5394	14	30	of	of	ADP
ajst-5394	14	31	temperature	temperature	NOUN
ajst-5394	14	32	is	be	AUX
ajst-5394	14	33	used	use	VERB
ajst-5394	14	34	in	in	ADP
ajst-5394	14	35	the	the	DET
ajst-5394	14	36	regression	regression	NOUN
ajst-5394	14	37	model	model	NOUN
ajst-5394	14	38	_	_	NOUN
ajst-5394	14	39	10	10	NUM
ajst-5394	14	40	teff	teff	NOUN
ajst-5394	14	41	replaces	replace	VERB
ajst-5394	14	42	teff	teff	NOUN
ajst-5394	14	43	to	to	PART
ajst-5394	14	44	reduce	reduce	VERB
ajst-5394	14	45	the	the	DET
ajst-5394	14	46	fluctuation	fluctuation	NOUN
ajst-5394	14	47	of	of	ADP
ajst-5394	14	48	the	the	DET
ajst-5394	14	49	temperature	temperature	NOUN
ajst-5394	14	50	reference	reference	NOUN
ajst-5394	14	51	value	value	NOUN
ajst-5394	14	52	and	and	CCONJ
ajst-5394	14	53	better	well	ADV
ajst-5394	14	54	describe	describe	VERB
ajst-5394	14	55	the	the	DET
ajst-5394	14	56	change	change	NOUN
ajst-5394	14	57	of	of	ADP
ajst-5394	14	58	the	the	DET
ajst-5394	14	59	model	model	NOUN
ajst-5394	14	60	output	output	NOUN
ajst-5394	14	61	.	.	PUNCT
ajst-5394	15	1	for	for	ADP
ajst-5394	15	2	the	the	DET
ajst-5394	15	3	error	error	NOUN
ajst-5394	15	4	of	of	ADP
ajst-5394	15	5	the	the	DET
ajst-5394	15	6	experiment	experiment	NOUN
ajst-5394	15	7	,	,	PUNCT
ajst-5394	15	8	the	the	DET
ajst-5394	15	9	average	average	NOUN
ajst-5394	15	10	of	of	ADP
ajst-5394	15	11	the	the	DET
ajst-5394	15	12	absolute	absolute	ADJ
ajst-5394	15	13	value	value	NOUN
ajst-5394	15	14	of	of	ADP
ajst-5394	15	15	the	the	DET
ajst-5394	15	16	difference	difference	NOUN
ajst-5394	15	17	between	between	ADP
ajst-5394	15	18	the	the	DET
ajst-5394	15	19	model	model	NOUN
ajst-5394	15	20	output	output	NOUN
ajst-5394	15	21	value	value	NOUN
ajst-5394	15	22	of	of	ADP
ajst-5394	15	23	the	the	DET
ajst-5394	15	24	test	test	NOUN
ajst-5394	15	25	set	set	VERB
ajst-5394	15	26	and	and	CCONJ
ajst-5394	15	27	the	the	DET
ajst-5394	15	28	actual	actual	ADJ
ajst-5394	15	29	value	value	NOUN
ajst-5394	15	30	is	be	AUX
ajst-5394	15	31	used	use	VERB
ajst-5394	15	32	as	as	ADP
ajst-5394	15	33	a	a	DET
ajst-5394	15	34	measure	measure	NOUN
ajst-5394	15	35	to	to	PART
ajst-5394	15	36	test	test	VERB
ajst-5394	15	37	the	the	DET
ajst-5394	15	38	regression	regression	NOUN
ajst-5394	15	39	effect	effect	NOUN
ajst-5394	15	40	of	of	ADP
ajst-5394	15	41	the	the	DET
ajst-5394	15	42	model	model	NOUN
ajst-5394	15	43	.	.	PUNCT
ajst-5394	16	1	a	a	DET
ajst-5394	16	2	total	total	NOUN
ajst-5394	16	3	of	of	ADP
ajst-5394	16	4	11586	11586	NUM
ajst-5394	16	5	stellar	stellar	ADJ
ajst-5394	16	6	spectral	spectral	ADJ
ajst-5394	16	7	data	datum	NOUN
ajst-5394	16	8	were	be	AUX
ajst-5394	16	9	used	use	VERB
ajst-5394	16	10	in	in	ADP
ajst-5394	16	11	this	this	DET
ajst-5394	16	12	experiment	experiment	NOUN
ajst-5394	16	13	,	,	PUNCT
ajst-5394	16	14	including	include	VERB
ajst-5394	16	15	1597	1597	NUM
ajst-5394	16	16	class	class	NOUN
ajst-5394	16	17	b	b	NOUN
ajst-5394	16	18	stars	star	NOUN
ajst-5394	16	19	,	,	PUNCT
ajst-5394	16	20	1987	1987	NUM
ajst-5394	16	21	class	class	NOUN
ajst-5394	16	22	a	a	DET
ajst-5394	16	23	stars	star	NOUN
ajst-5394	16	24	,	,	PUNCT
ajst-5394	16	25	2009	2009	NUM
ajst-5394	16	26	class	class	NOUN
ajst-5394	16	27	f	f	PROPN
ajst-5394	16	28	stars	star	NOUN
ajst-5394	16	29	,	,	PUNCT
ajst-5394	16	30	2027	2027	NUM
ajst-5394	16	31	class	class	NOUN
ajst-5394	16	32	g	g	NOUN
ajst-5394	16	33	stars	star	NOUN
ajst-5394	16	34	,	,	PUNCT
ajst-5394	16	35	2022	2022	NUM
ajst-5394	16	36	class	class	NOUN
ajst-5394	16	37	k	k	PROPN
ajst-5394	16	38	stars	star	NOUN
ajst-5394	16	39	,	,	PUNCT
ajst-5394	16	40	and	and	CCONJ
ajst-5394	16	41	1944	1944	NUM
ajst-5394	16	42	class	class	NOUN
ajst-5394	16	43	m	m	NOUN
ajst-5394	16	44	stars	star	NOUN
ajst-5394	16	45	,	,	PUNCT
ajst-5394	16	46	of	of	ADP
ajst-5394	16	47	which	which	PRON
ajst-5394	16	48	the	the	DET
ajst-5394	16	49	sample	sample	NOUN
ajst-5394	16	50	of	of	ADP
ajst-5394	16	51	class	class	NOUN
ajst-5394	16	52	o	o	NOUN
ajst-5394	16	53	stars	star	NOUN
ajst-5394	16	54	is	be	AUX
ajst-5394	16	55	too	too	ADV
ajst-5394	16	56	small	small	ADJ
ajst-5394	16	57	to	to	PART
ajst-5394	16	58	be	be	AUX
ajst-5394	16	59	included	include	VERB
ajst-5394	16	60	in	in	ADP
ajst-5394	16	61	the	the	DET
ajst-5394	16	62	experiment	experiment	NOUN
ajst-5394	16	63	.	.	PUNCT
ajst-5394	17	1	in	in	ADP
ajst-5394	17	2	order	order	NOUN
ajst-5394	17	3	to	to	PART
ajst-5394	17	4	test	test	VERB
ajst-5394	17	5	the	the	DET
ajst-5394	17	6	effect	effect	NOUN
ajst-5394	17	7	of	of	ADP
ajst-5394	17	8	data	datum	NOUN
ajst-5394	17	9	noise	noise	NOUN
ajst-5394	17	10	on	on	ADP
ajst-5394	17	11	the	the	DET
ajst-5394	17	12	two	two	NUM
ajst-5394	17	13	models	model	NOUN
ajst-5394	17	14	,	,	PUNCT
ajst-5394	17	15	the	the	DET
ajst-5394	17	16	experiment	experiment	NOUN
ajst-5394	17	17	also	also	ADV
ajst-5394	17	18	used	use	VERB
ajst-5394	17	19	a	a	DET
ajst-5394	17	20	part	part	NOUN
ajst-5394	17	21	of	of	ADP
ajst-5394	17	22	spectral	spectral	ADJ
ajst-5394	17	23	data	datum	NOUN
ajst-5394	17	24	of	of	ADP
ajst-5394	17	25	stars	star	NOUN
ajst-5394	17	26	and	and	CCONJ
ajst-5394	17	27	galaxies	galaxy	NOUN
ajst-5394	17	28	to	to	PART
ajst-5394	17	29	interpolate	interpolate	VERB
ajst-5394	17	30	the	the	DET
ajst-5394	17	31	star	star	NOUN
ajst-5394	17	32	data.the	data.the	DET
ajst-5394	17	33	figure	figure	NOUN
ajst-5394	17	34	1	1	NUM
ajst-5394	17	35	shows	show	VERB
ajst-5394	17	36	the	the	DET
ajst-5394	17	37	spectral	spectral	ADJ
ajst-5394	17	38	data	datum	NOUN
ajst-5394	17	39	of	of	ADP
ajst-5394	17	40	a	a	DET
ajst-5394	17	41	galaxy	galaxy	NOUN
ajst-5394	17	42	in	in	ADP
ajst-5394	17	43	the	the	DET
ajst-5394	17	44	data	datum	NOUN
ajst-5394	17	45	used	use	VERB
ajst-5394	17	46	in	in	ADP
ajst-5394	17	47	this	this	DET
ajst-5394	17	48	study	study	NOUN
ajst-5394	17	49	.	.	PUNCT
ajst-5394	18	1	the	the	DET
ajst-5394	18	2	blue	blue	ADJ
ajst-5394	18	3	line	line	NOUN
ajst-5394	18	4	is	be	AUX
ajst-5394	18	5	the	the	DET
ajst-5394	18	6	emission	emission	NOUN
ajst-5394	18	7	band	band	NOUN
ajst-5394	18	8	and	and	CCONJ
ajst-5394	18	9	the	the	DET
ajst-5394	18	10	green	green	ADJ
ajst-5394	18	11	line	line	NOUN
ajst-5394	18	12	is	be	AUX
ajst-5394	18	13	the	the	DET
ajst-5394	18	14	absorption	absorption	NOUN
ajst-5394	18	15	band	band	NOUN
ajst-5394	18	16	.	.	PUNCT
ajst-5394	19	1	figure	figure	NOUN
ajst-5394	19	2	1	1	NUM
ajst-5394	19	3	.	.	PUNCT
ajst-5394	19	4	lamost	lamost	ADJ
ajst-5394	19	5	dr6	dr6	PROPN
ajst-5394	19	6	v2	v2	PROPN
ajst-5394	19	7	lowresolution	lowresolution	NOUN
ajst-5394	19	8	spectral	spectral	ADJ
ajst-5394	19	9	map	map	NOUN
ajst-5394	19	10	of	of	ADP
ajst-5394	19	11	stellar	stellar	ADJ
ajst-5394	19	12	92	92	NUM
ajst-5394	19	13	2	2	NUM
ajst-5394	19	14	.	.	PUNCT
ajst-5394	19	15	nuclear	nuclear	ADJ
ajst-5394	19	16	regression	regression	PROPN
ajst-5394	19	17	kernel	kernel	PROPN
ajst-5394	19	18	method	method	NOUN
ajst-5394	20	1	[	[	X
ajst-5394	20	2	2	2	NUM
ajst-5394	20	3	]	]	PUNCT
ajst-5394	20	4	is	be	AUX
ajst-5394	20	5	a	a	DET
ajst-5394	20	6	classic	classic	ADJ
ajst-5394	20	7	method	method	NOUN
ajst-5394	20	8	to	to	PART
ajst-5394	20	9	solve	solve	VERB
ajst-5394	20	10	nonlinear	nonlinear	ADJ
ajst-5394	20	11	problems	problem	NOUN
ajst-5394	20	12	.	.	PUNCT
ajst-5394	21	1	its	its	PRON
ajst-5394	21	2	core	core	ADJ
ajst-5394	21	3	idea	idea	NOUN
ajst-5394	21	4	is	be	AUX
ajst-5394	21	5	to	to	PART
ajst-5394	21	6	use	use	VERB
ajst-5394	21	7	nonlinear	nonlinear	ADJ
ajst-5394	21	8	mapping	mapping	NOUN
ajst-5394	21	9	to	to	PART
ajst-5394	21	10	project	project	VERB
ajst-5394	21	11	data	datum	NOUN
ajst-5394	21	12	into	into	ADP
ajst-5394	21	13	the	the	DET
ajst-5394	21	14	feature	feature	NOUN
ajst-5394	21	15	space	space	NOUN
ajst-5394	21	16	,	,	PUNCT
ajst-5394	21	17	and	and	CCONJ
ajst-5394	21	18	then	then	ADV
ajst-5394	21	19	use	use	VERB
ajst-5394	21	20	linear	linear	ADJ
ajst-5394	21	21	learners	learner	NOUN
ajst-5394	21	22	to	to	PART
ajst-5394	21	23	regress	regress	VERB
ajst-5394	21	24	this	this	DET
ajst-5394	21	25	feature	feature	NOUN
ajst-5394	21	26	space	space	NOUN
ajst-5394	21	27	,	,	PUNCT
ajst-5394	21	28	as	as	SCONJ
ajst-5394	21	29	shown	show	VERB
ajst-5394	21	30	in	in	ADP
ajst-5394	21	31	formula	formula	NOUN
ajst-5394	21	32	(	(	PUNCT
ajst-5394	21	33	1	1	NUM
ajst-5394	21	34	):	):	PUNCT
ajst-5394	21	35	f	f	PROPN
ajst-5394	21	36	x	x	X
ajst-5394	21	37	w	w	PROPN
ajst-5394	21	38	φ	φ	NUM
ajst-5394	21	39	x	x	SYM
ajst-5394	21	40	b	b	X
ajst-5394	21	41	1	1	NUM
ajst-5394	21	42	at	at	ADP
ajst-5394	21	43	this	this	DET
ajst-5394	21	44	time	time	NOUN
ajst-5394	21	45	,	,	PUNCT
ajst-5394	21	46	the	the	DET
ajst-5394	21	47	kernel	kernel	PROPN
ajst-5394	21	48	function	function	VERB
ajst-5394	21	49	k	k	PROPN
ajst-5394	21	50	satisfies	satisfie	NOUN
ajst-5394	21	51	:	:	PUNCT
ajst-5394	21	52	for	for	ADP
ajst-5394	21	53	all	all	DET
ajst-5394	21	54	x	x	NOUN
ajst-5394	21	55	,	,	PUNCT
ajst-5394	21	56	z	z	PROPN
ajst-5394	21	57	∈	∈	PROPN
ajst-5394	22	1	x	x	PRON
ajst-5394	22	2	,	,	PUNCT
ajst-5394	22	3	there	there	PRON
ajst-5394	22	4	is	be	VERB
ajst-5394	22	5	:	:	PUNCT
ajst-5394	22	6	k	k	X
ajst-5394	22	7	(	(	PUNCT
ajst-5394	22	8	x	x	X
ajst-5394	22	9	,	,	PUNCT
ajst-5394	22	10	z)=	z)=	ADV
ajst-5394	22	11	<	<	X
ajst-5394	22	12	φ	φ	PROPN
ajst-5394	22	13	(	(	PUNCT
ajst-5394	22	14	x	x	NOUN
ajst-5394	22	15	)	)	PUNCT
ajst-5394	22	16	,	,	PUNCT
ajst-5394	22	17	φ	φ	PROPN
ajst-5394	22	18	(	(	PUNCT
ajst-5394	22	19	z)>.therefore	z)>.therefore	NUM
ajst-5394	22	20	,	,	PUNCT
ajst-5394	22	21	the	the	DET
ajst-5394	22	22	form	form	NOUN
ajst-5394	22	23	of	of	ADP
ajst-5394	22	24	nonlinear	nonlinear	ADJ
ajst-5394	22	25	kernel	kernel	PROPN
ajst-5394	22	26	regression	regression	PROPN
ajst-5394	22	27	model	model	NOUN
ajst-5394	22	28	is	be	AUX
ajst-5394	22	29	shown	show	VERB
ajst-5394	22	30	in	in	ADP
ajst-5394	22	31	formula	formula	NOUN
ajst-5394	22	32	(	(	PUNCT
ajst-5394	22	33	2	2	NUM
ajst-5394	22	34	):	):	PUNCT
ajst-5394	22	35	f	f	X
ajst-5394	22	36	x	x	PUNCT
ajst-5394	23	1	a	a	PRON
ajst-5394	23	2	y	y	PROPN
ajst-5394	23	3	k	k	PROPN
ajst-5394	23	4	x	x	PROPN
ajst-5394	23	5	,	,	PUNCT
ajst-5394	23	6	x	x	PROPN
ajst-5394	23	7	b	b	X
ajst-5394	23	8	2	2	NUM
ajst-5394	23	9	the	the	DET
ajst-5394	23	10	nuclear	nuclear	ADJ
ajst-5394	23	11	method	method	NOUN
ajst-5394	23	12	can	can	AUX
ajst-5394	23	13	be	be	AUX
ajst-5394	23	14	realized	realize	VERB
ajst-5394	23	15	in	in	ADP
ajst-5394	23	16	many	many	ADJ
ajst-5394	23	17	ways	way	NOUN
ajst-5394	23	18	.	.	PUNCT
ajst-5394	24	1	according	accord	VERB
ajst-5394	24	2	to	to	ADP
ajst-5394	24	3	the	the	DET
ajst-5394	24	4	characteristics	characteristic	NOUN
ajst-5394	24	5	of	of	ADP
ajst-5394	24	6	different	different	ADJ
ajst-5394	24	7	data	datum	NOUN
ajst-5394	24	8	,	,	PUNCT
ajst-5394	24	9	the	the	DET
ajst-5394	24	10	corresponding	corresponding	ADJ
ajst-5394	24	11	expansion	expansion	NOUN
ajst-5394	24	12	method	method	NOUN
ajst-5394	24	13	should	should	AUX
ajst-5394	24	14	be	be	AUX
ajst-5394	24	15	adopted	adopt	VERB
ajst-5394	24	16	.	.	PUNCT
ajst-5394	25	1	this	this	DET
ajst-5394	25	2	paper	paper	NOUN
ajst-5394	25	3	uses	use	VERB
ajst-5394	25	4	two	two	NUM
ajst-5394	25	5	models	model	NOUN
ajst-5394	25	6	for	for	ADP
ajst-5394	25	7	stellar	stellar	ADJ
ajst-5394	25	8	parameter	parameter	NOUN
ajst-5394	25	9	regression	regression	NOUN
ajst-5394	25	10	,	,	PUNCT
ajst-5394	25	11	namely	namely	ADV
ajst-5394	25	12	klsr	klsr	NOUN
ajst-5394	25	13	[	[	X
ajst-5394	25	14	3	3	NUM
ajst-5394	25	15	]	]	X
ajst-5394	25	16	model	model	NOUN
ajst-5394	25	17	and	and	CCONJ
ajst-5394	25	18	kpcr	kpcr	PROPN
ajst-5394	25	19	[	[	X
ajst-5394	25	20	4	4	NUM
ajst-5394	25	21	]	]	PUNCT
ajst-5394	25	22	model	model	NOUN
ajst-5394	25	23	2.1	2.1	NUM
ajst-5394	25	24	.	.	PUNCT
ajst-5394	26	1	kernel	kernel	PROPN
ajst-5394	26	2	least	least	ADJ
ajst-5394	26	3	squares	square	NOUN
ajst-5394	26	4	regression	regression	VERB
ajst-5394	26	5	the	the	DET
ajst-5394	26	6	kernel	kernel	PROPN
ajst-5394	26	7	least	least	ADJ
ajst-5394	26	8	square	square	ADJ
ajst-5394	26	9	regression	regression	NOUN
ajst-5394	26	10	(	(	PUNCT
ajst-5394	26	11	klsr	klsr	PROPN
ajst-5394	26	12	)	)	PUNCT
ajst-5394	26	13	model	model	NOUN
ajst-5394	26	14	is	be	AUX
ajst-5394	26	15	shown	show	VERB
ajst-5394	26	16	in	in	ADP
ajst-5394	26	17	formula	formula	NOUN
ajst-5394	26	18	(	(	PUNCT
ajst-5394	26	19	3	3	NUM
ajst-5394	26	20	)	)	PUNCT
ajst-5394	26	21	,	,	PUNCT
ajst-5394	26	22	where	where	SCONJ
ajst-5394	26	23	k	k	PROPN
ajst-5394	26	24	x	x	X
ajst-5394	26	25	,	,	PUNCT
ajst-5394	26	26	x	x	X
ajst-5394	26	27	is	be	AUX
ajst-5394	26	28	the	the	DET
ajst-5394	26	29	kernel	kernel	PROPN
ajst-5394	26	30	vector	vector	PROPN
ajst-5394	26	31	,	,	PUNCT
ajst-5394	26	32	x	x	X
ajst-5394	26	33	is	be	AUX
ajst-5394	26	34	the	the	DET
ajst-5394	26	35	training	training	NOUN
ajst-5394	26	36	point	point	NOUN
ajst-5394	26	37	data	datum	NOUN
ajst-5394	26	38	,	,	PUNCT
ajst-5394	26	39	and	and	CCONJ
ajst-5394	26	40	the	the	DET
ajst-5394	26	41	linear	linear	ADJ
ajst-5394	26	42	regression	regression	NOUN
ajst-5394	26	43	coefficient	coefficient	NOUN
ajst-5394	26	44	of	of	ADP
ajst-5394	26	45	the	the	DET
ajst-5394	26	46	regression	regression	NOUN
ajst-5394	26	47	model	model	NOUN
ajst-5394	26	48	is	be	AUX
ajst-5394	26	49	calculated	calculate	VERB
ajst-5394	26	50	by	by	ADP
ajst-5394	26	51	the	the	DET
ajst-5394	26	52	least	least	ADJ
ajst-5394	26	53	square	square	ADJ
ajst-5394	26	54	method	method	NOUN
ajst-5394	26	55	β	β	NOUN
ajst-5394	26	56	:	:	PUNCT
ajst-5394	26	57	f	f	X
ajst-5394	26	58	x	x	X
ajst-5394	26	59	β	β	X
ajst-5394	26	60	k	k	X
ajst-5394	26	61	x	x	X
ajst-5394	26	62	,	,	PUNCT
ajst-5394	26	63	x	x	X
ajst-5394	26	64	β	β	X
ajst-5394	26	65	3	3	NUM
ajst-5394	26	66	because	because	SCONJ
ajst-5394	26	67	klsr	klsr	PROPN
ajst-5394	26	68	is	be	AUX
ajst-5394	26	69	a	a	DET
ajst-5394	26	70	very	very	ADV
ajst-5394	26	71	common	common	ADJ
ajst-5394	26	72	and	and	CCONJ
ajst-5394	26	73	simple	simple	ADJ
ajst-5394	26	74	nonlinear	nonlinear	ADJ
ajst-5394	26	75	kernel	kernel	PROPN
ajst-5394	26	76	regression	regression	PROPN
ajst-5394	26	77	model	model	NOUN
ajst-5394	26	78	,	,	PUNCT
ajst-5394	26	79	it	it	PRON
ajst-5394	26	80	does	do	AUX
ajst-5394	26	81	not	not	PART
ajst-5394	26	82	need	need	VERB
ajst-5394	26	83	to	to	PART
ajst-5394	26	84	do	do	VERB
ajst-5394	26	85	too	too	ADV
ajst-5394	26	86	much	much	ADJ
ajst-5394	26	87	data	datum	NOUN
ajst-5394	26	88	processing	processing	NOUN
ajst-5394	26	89	compared	compare	VERB
ajst-5394	26	90	with	with	ADP
ajst-5394	26	91	kpcr	kpcr	ADJ
ajst-5394	26	92	model	model	NOUN
ajst-5394	26	93	,	,	PUNCT
ajst-5394	26	94	and	and	CCONJ
ajst-5394	26	95	only	only	ADV
ajst-5394	26	96	needs	need	VERB
ajst-5394	26	97	to	to	PART
ajst-5394	26	98	use	use	VERB
ajst-5394	26	99	a	a	DET
ajst-5394	26	100	fixed	fix	VERB
ajst-5394	26	101	method	method	NOUN
ajst-5394	26	102	to	to	PART
ajst-5394	26	103	calculate	calculate	VERB
ajst-5394	26	104	the	the	DET
ajst-5394	26	105	regression	regression	NOUN
ajst-5394	26	106	coefficient	coefficient	NOUN
ajst-5394	26	107	β	β	NOUN
ajst-5394	26	108	that	that	PRON
ajst-5394	26	109	will	will	AUX
ajst-5394	26	110	do	do	VERB
ajst-5394	26	111	.	.	PUNCT
ajst-5394	27	1	2.2	2.2	NUM
ajst-5394	27	2	.	.	PUNCT
ajst-5394	27	3	kernel	kernel	PROPN
ajst-5394	27	4	principal	principal	PROPN
ajst-5394	27	5	component	component	NOUN
ajst-5394	27	6	regression	regression	NOUN
ajst-5394	27	7	compared	compare	VERB
ajst-5394	27	8	with	with	ADP
ajst-5394	27	9	klsr	klsr	PROPN
ajst-5394	27	10	algorithm	algorithm	NOUN
ajst-5394	27	11	,	,	PUNCT
ajst-5394	27	12	kpcr	kpcr	ADJ
ajst-5394	27	13	algorithm	algorithm	NOUN
ajst-5394	27	14	is	be	AUX
ajst-5394	27	15	relatively	relatively	ADV
ajst-5394	27	16	complex	complex	ADJ
ajst-5394	27	17	,	,	PUNCT
ajst-5394	27	18	and	and	CCONJ
ajst-5394	27	19	its	its	PRON
ajst-5394	27	20	main	main	ADJ
ajst-5394	27	21	steps	step	NOUN
ajst-5394	27	22	are	be	AUX
ajst-5394	27	23	as	as	SCONJ
ajst-5394	27	24	follows	follow	VERB
ajst-5394	27	25	:	:	PUNCT
ajst-5394	27	26	(	(	PUNCT
ajst-5394	27	27	1	1	X
ajst-5394	27	28	)	)	PUNCT
ajst-5394	27	29	star	star	NOUN
ajst-5394	27	30	spectrum	spectrum	NOUN
ajst-5394	27	31	preprocessing	preprocessing	NOUN
ajst-5394	27	32	:	:	PUNCT
ajst-5394	27	33	normalize	normalize	VERB
ajst-5394	27	34	the	the	DET
ajst-5394	27	35	data	datum	NOUN
ajst-5394	27	36	using	use	VERB
ajst-5394	27	37	the	the	DET
ajst-5394	27	38	maximum	maximum	ADJ
ajst-5394	27	39	and	and	CCONJ
ajst-5394	27	40	minimum	minimum	ADJ
ajst-5394	27	41	method	method	NOUN
ajst-5394	27	42	:	:	PUNCT
ajst-5394	27	43	y	y	PROPN
ajst-5394	27	44	newmin	newmin	PROPN
ajst-5394	27	45	newmax	newmax	PROPN
ajst-5394	27	46	newmin	newmin	VERB
ajst-5394	27	47	x	x	SYM
ajst-5394	27	48	min	min	PROPN
ajst-5394	27	49	max	max	PROPN
ajst-5394	27	50	min	min	PROPN
ajst-5394	27	51	4	4	NUM
ajst-5394	27	52	(	(	PUNCT
ajst-5394	27	53	2	2	NUM
ajst-5394	27	54	)	)	PUNCT
ajst-5394	27	55	build	build	VERB
ajst-5394	27	56	kpcr	kpcr	ADJ
ajst-5394	27	57	regression	regression	NOUN
ajst-5394	27	58	model	model	NOUN
ajst-5394	27	59	:	:	PUNCT
ajst-5394	27	60	a.	a.	NOUN
ajst-5394	27	61	calculate	calculate	NOUN
ajst-5394	27	62	the	the	DET
ajst-5394	27	63	normalized	normalized	ADJ
ajst-5394	27	64	p	p	ADJ
ajst-5394	27	65	-	-	PUNCT
ajst-5394	27	66	dimensional	dimensional	ADJ
ajst-5394	27	67	spectral	spectral	ADJ
ajst-5394	27	68	data	datum	NOUN
ajst-5394	27	69	x	x	VERB
ajst-5394	27	70	through	through	ADP
ajst-5394	27	71	step	step	NOUN
ajst-5394	27	72	1	1	NUM
ajst-5394	27	73	the	the	DET
ajst-5394	27	74	kernel	kernel	PROPN
ajst-5394	27	75	matrix	matrix	NOUN
ajst-5394	27	76	k	k	NOUN
ajst-5394	27	77	of	of	ADP
ajst-5394	27	78	p	p	X
ajst-5394	27	79	,	,	PUNCT
ajst-5394	27	80	where	where	SCONJ
ajst-5394	27	81	k	k	PROPN
ajst-5394	27	82	φ	φ	X
ajst-5394	27	83	x	x	PROPN
ajst-5394	27	84	,	,	PUNCT
ajst-5394	27	85	φ	φ	NOUN
ajst-5394	27	86	x	x	X
ajst-5394	27	87	k	k	NOUN
ajst-5394	27	88	x	x	X
ajst-5394	27	89	,	,	PUNCT
ajst-5394	27	90	x	x	PROPN
ajst-5394	27	91	b.	b.	PROPN
ajst-5394	27	92	centralize	centralize	VERB
ajst-5394	27	93	the	the	DET
ajst-5394	27	94	feature	feature	NOUN
ajst-5394	27	95	space	space	NOUN
ajst-5394	27	96	,	,	PUNCT
ajst-5394	27	97	and	and	CCONJ
ajst-5394	27	98	the	the	DET
ajst-5394	27	99	core	core	NOUN
ajst-5394	27	100	matrix	matrix	NOUN
ajst-5394	27	101	after	after	SCONJ
ajst-5394	27	102	centring	centring	NOUN
ajst-5394	27	103	is	be	AUX
ajst-5394	27	104	:	:	PUNCT
ajst-5394	27	105	𝐾	𝐾	PROPN
ajst-5394	27	106	𝐾	𝐾	PROPN
ajst-5394	27	107	1	1	NUM
ajst-5394	27	108	𝐾	𝐾	NOUN
ajst-5394	27	109	𝐾1	𝐾1	PROPN
ajst-5394	27	110	1	1	NUM
ajst-5394	27	111	𝐾1	𝐾1	PROPN
ajst-5394	27	112	5	5	NUM
ajst-5394	27	113	where	where	SCONJ
ajst-5394	27	114	1	1	NUM
ajst-5394	27	115	is	be	AUX
ajst-5394	27	116	the	the	DET
ajst-5394	27	117	centralization	centralization	NOUN
ajst-5394	27	118	matrix	matrix	NOUN
ajst-5394	27	119	of	of	ADP
ajst-5394	27	120	unit	unit	NOUN
ajst-5394	27	121	1	1	NUM
ajst-5394	27	122	.	.	PUNCT
ajst-5394	28	1	c.	c.	NOUN
ajst-5394	28	2	solving	solving	NOUN
ajst-5394	28	3	eigenvalue	eigenvalue	NOUN
ajst-5394	28	4	equation	equation	NOUN
ajst-5394	28	5	n	n	PROPN
ajst-5394	28	6	of	of	ADP
ajst-5394	28	7	kernel	kernel	PROPN
ajst-5394	28	8	matrix	matrix	NOUN
ajst-5394	28	9	nλ	nλ	ADP
ajst-5394	28	10	a	a	DET
ajst-5394	28	11	ka	ka	PROPN
ajst-5394	28	12	,	,	PUNCT
ajst-5394	28	13	and	and	CCONJ
ajst-5394	28	14	standardize	standardize	VERB
ajst-5394	28	15	a	a	PRON
ajst-5394	28	16	as	as	ADP
ajst-5394	28	17	a	a	DET
ajst-5394	28	18	,	,	PUNCT
ajst-5394	28	19	a	a	DET
ajst-5394	28	20	1	1	NUM
ajst-5394	28	21	/	/	SYM
ajst-5394	28	22	λ	λ	X
ajst-5394	28	23	d.	d.	NOUN
ajst-5394	28	24	the	the	DET
ajst-5394	28	25	core	core	NOUN
ajst-5394	28	26	principal	principal	ADJ
ajst-5394	28	27	components	component	NOUN
ajst-5394	28	28	of	of	ADP
ajst-5394	28	29	model	model	NOUN
ajst-5394	28	30	sample	sample	NOUN
ajst-5394	28	31	x	x	AUX
ajst-5394	28	32	are	be	AUX
ajst-5394	28	33	as	as	SCONJ
ajst-5394	28	34	follows	follow	VERB
ajst-5394	28	35	:	:	PUNCT
ajst-5394	28	36	β	β	X
ajst-5394	28	37	x	x	X
ajst-5394	28	38	v	v	ADP
ajst-5394	28	39	φ	φ	X
ajst-5394	28	40	x	x	PROPN
ajst-5394	28	41	a	a	DET
ajst-5394	28	42	k	k	X
ajst-5394	28	43	x	x	X
ajst-5394	28	44	,	,	PUNCT
ajst-5394	28	45	x	x	PROPN
ajst-5394	28	46	6	6	NUM
ajst-5394	28	47	e.	e.	NOUN
ajst-5394	28	48	select	select	VERB
ajst-5394	28	49	the	the	DET
ajst-5394	28	50	first	first	ADJ
ajst-5394	28	51	1	1	NUM
ajst-5394	28	52	principal	principal	ADJ
ajst-5394	28	53	components	component	NOUN
ajst-5394	28	54	and	and	CCONJ
ajst-5394	28	55	their	their	PRON
ajst-5394	28	56	corresponding	corresponding	ADJ
ajst-5394	28	57	physical	physical	ADJ
ajst-5394	28	58	parameters	parameter	NOUN
ajst-5394	28	59	to	to	PART
ajst-5394	28	60	construct	construct	VERB
ajst-5394	28	61	the	the	DET
ajst-5394	28	62	kpcr	kpcr	ADJ
ajst-5394	28	63	regression	regression	NOUN
ajst-5394	28	64	model	model	NOUN
ajst-5394	28	65	,	,	PUNCT
ajst-5394	28	66	and	and	CCONJ
ajst-5394	28	67	the	the	DET
ajst-5394	28	68	regression	regression	NOUN
ajst-5394	28	69	coefficient	coefficient	NOUN
ajst-5394	28	70	w	w	PROPN
ajst-5394	28	71	,	,	PUNCT
ajst-5394	28	72	k	k	PROPN
ajst-5394	28	73	1	1	NUM
ajst-5394	28	74	,	,	PUNCT
ajst-5394	28	75	…	…	PUNCT
ajst-5394	28	76	,	,	PUNCT
ajst-5394	28	77	l	l	NOUN
ajst-5394	28	78	,	,	PUNCT
ajst-5394	28	79	where	where	SCONJ
ajst-5394	28	80	l	l	NOUN
ajst-5394	28	81	is	be	AUX
ajst-5394	28	82	determined	determine	VERB
ajst-5394	28	83	by	by	ADP
ajst-5394	28	84	the	the	DET
ajst-5394	28	85	least	least	ADJ
ajst-5394	28	86	squares	square	NOUN
ajst-5394	28	87	.	.	PUNCT
ajst-5394	29	1	3	3	X
ajst-5394	29	2	.	.	X
ajst-5394	29	3	experiment	experiment	NOUN
ajst-5394	29	4	and	and	CCONJ
ajst-5394	29	5	analysis	analysis	NOUN
ajst-5394	29	6	3.1	3.1	NUM
ajst-5394	29	7	.	.	PUNCT
ajst-5394	30	1	kernel	kernel	PROPN
ajst-5394	30	2	regression	regression	PROPN
ajst-5394	30	3	model	model	NOUN
ajst-5394	30	4	3.1.1	3.1.1	NUM
ajst-5394	30	5	.	.	PUNCT
ajst-5394	31	1	experiment	experiment	NOUN
ajst-5394	31	2	of	of	ADP
ajst-5394	31	3	kernel	kernel	PROPN
ajst-5394	31	4	regression	regression	PROPN
ajst-5394	31	5	model	model	NOUN
ajst-5394	31	6	without	without	ADP
ajst-5394	31	7	noise	noise	NOUN
ajst-5394	31	8	in	in	ADP
ajst-5394	31	9	this	this	DET
ajst-5394	31	10	study	study	NOUN
ajst-5394	31	11	,	,	PUNCT
ajst-5394	31	12	gauss	gauss	ADJ
ajst-5394	31	13	kernel	kernel	PROPN
ajst-5394	31	14	function[5	function[5	PROPN
ajst-5394	31	15	]	]	PUNCT
ajst-5394	31	16	is	be	AUX
ajst-5394	31	17	used	use	VERB
ajst-5394	31	18	to	to	PART
ajst-5394	31	19	construct	construct	VERB
ajst-5394	31	20	klsr	klsr	PROPN
ajst-5394	31	21	model	model	NOUN
ajst-5394	31	22	and	and	CCONJ
ajst-5394	31	23	kpcr	kpcr	ADJ
ajst-5394	31	24	model	model	NOUN
ajst-5394	31	25	in	in	ADP
ajst-5394	31	26	noise	noise	NOUN
ajst-5394	31	27	-	-	PUNCT
ajst-5394	31	28	free	free	ADJ
ajst-5394	31	29	experiment	experiment	NOUN
ajst-5394	31	30	.	.	PUNCT
ajst-5394	32	1	the	the	DET
ajst-5394	32	2	final	final	ADJ
ajst-5394	32	3	value	value	NOUN
ajst-5394	32	4	of	of	ADP
ajst-5394	32	5	nuclear	nuclear	ADJ
ajst-5394	32	6	width	width	NOUN
ajst-5394	32	7	h	h	NOUN
ajst-5394	32	8	is	be	AUX
ajst-5394	32	9	0.5	0.5	NUM
ajst-5394	32	10	by	by	ADP
ajst-5394	32	11	means	mean	NOUN
ajst-5394	32	12	of	of	ADP
ajst-5394	32	13	comparative	comparative	ADJ
ajst-5394	32	14	experiment	experiment	NOUN
ajst-5394	32	15	.	.	PUNCT
ajst-5394	33	1	figure	figure	NOUN
ajst-5394	33	2	2	2	NUM
ajst-5394	33	3	shows	show	VERB
ajst-5394	33	4	the	the	DET
ajst-5394	33	5	comparison	comparison	NOUN
ajst-5394	33	6	between	between	ADP
ajst-5394	33	7	the	the	DET
ajst-5394	33	8	calculated	calculated	ADJ
ajst-5394	33	9	parameters	parameter	NOUN
ajst-5394	33	10	and	and	CCONJ
ajst-5394	33	11	actual	actual	ADJ
ajst-5394	33	12	parameters	parameter	NOUN
ajst-5394	33	13	of	of	ADP
ajst-5394	33	14	the	the	DET
ajst-5394	33	15	two	two	NUM
ajst-5394	33	16	models	model	NOUN
ajst-5394	33	17	without	without	ADP
ajst-5394	33	18	noise	noise	NOUN
ajst-5394	33	19	.	.	PUNCT
ajst-5394	34	1	it	it	PRON
ajst-5394	34	2	is	be	AUX
ajst-5394	34	3	worth	worth	ADJ
ajst-5394	34	4	noting	note	VERB
ajst-5394	34	5	that	that	SCONJ
ajst-5394	34	6	when	when	SCONJ
ajst-5394	34	7	the	the	DET
ajst-5394	34	8	amount	amount	NOUN
ajst-5394	34	9	of	of	ADP
ajst-5394	34	10	experimental	experimental	ADJ
ajst-5394	34	11	data	datum	NOUN
ajst-5394	34	12	is	be	AUX
ajst-5394	34	13	large	large	ADJ
ajst-5394	34	14	,	,	PUNCT
ajst-5394	34	15	the	the	DET
ajst-5394	34	16	plotted	plot	VERB
ajst-5394	34	17	data	data	NOUN
ajst-5394	34	18	points	point	NOUN
ajst-5394	34	19	will	will	AUX
ajst-5394	34	20	be	be	AUX
ajst-5394	34	21	relatively	relatively	ADV
ajst-5394	34	22	concentrated	concentrate	VERB
ajst-5394	34	23	.	.	PUNCT
ajst-5394	35	1	when	when	SCONJ
ajst-5394	35	2	many	many	ADJ
ajst-5394	35	3	data	datum	NOUN
ajst-5394	35	4	points	point	NOUN
ajst-5394	35	5	overlap	overlap	NOUN
ajst-5394	35	6	and	and	CCONJ
ajst-5394	35	7	overlap	overlap	NOUN
ajst-5394	35	8	,	,	PUNCT
ajst-5394	35	9	it	it	PRON
ajst-5394	35	10	is	be	AUX
ajst-5394	35	11	not	not	PART
ajst-5394	35	12	conducive	conducive	ADJ
ajst-5394	35	13	to	to	PART
ajst-5394	35	14	directly	directly	ADV
ajst-5394	35	15	display	display	VERB
ajst-5394	35	16	the	the	DET
ajst-5394	35	17	local	local	ADJ
ajst-5394	35	18	laws	law	NOUN
ajst-5394	35	19	and	and	CCONJ
ajst-5394	35	20	trends	trend	NOUN
ajst-5394	35	21	of	of	ADP
ajst-5394	35	22	the	the	DET
ajst-5394	35	23	data	datum	NOUN
ajst-5394	35	24	and	and	CCONJ
ajst-5394	35	25	the	the	DET
ajst-5394	35	26	correlation	correlation	NOUN
ajst-5394	35	27	characteristics	characteristic	NOUN
ajst-5394	35	28	between	between	ADP
ajst-5394	35	29	the	the	DET
ajst-5394	35	30	characteristic	characteristic	ADJ
ajst-5394	35	31	values	value	NOUN
ajst-5394	35	32	of	of	ADP
ajst-5394	35	33	the	the	DET
ajst-5394	35	34	line	line	NOUN
ajst-5394	35	35	index	index	NOUN
ajst-5394	35	36	.	.	PUNCT
ajst-5394	36	1	therefore	therefore	ADV
ajst-5394	36	2	,	,	PUNCT
ajst-5394	36	3	this	this	DET
ajst-5394	36	4	paper	paper	NOUN
ajst-5394	36	5	selects	select	VERB
ajst-5394	36	6	the	the	DET
ajst-5394	36	7	corresponding	corresponding	ADJ
ajst-5394	36	8	proportion	proportion	NOUN
ajst-5394	36	9	of	of	ADP
ajst-5394	36	10	local	local	ADJ
ajst-5394	36	11	data	datum	NOUN
ajst-5394	36	12	sets	set	NOUN
ajst-5394	36	13	to	to	PART
ajst-5394	36	14	fit	fit	VERB
ajst-5394	36	15	the	the	DET
ajst-5394	36	16	regression	regression	NOUN
ajst-5394	36	17	.	.	PUNCT
ajst-5394	37	1	(	(	PUNCT
ajst-5394	37	2	a	a	X
ajst-5394	37	3	)	)	PUNCT
ajst-5394	37	4	klsr	klsr	NOUN
ajst-5394	37	5	(	(	PUNCT
ajst-5394	37	6	b	b	NOUN
ajst-5394	37	7	)	)	PUNCT
ajst-5394	37	8	kpcr	kpcr	ADJ
ajst-5394	37	9	figure	figure	NOUN
ajst-5394	37	10	2	2	NUM
ajst-5394	37	11	.	.	X
ajst-5394	37	12	relationship	relationship	NOUN
ajst-5394	37	13	between	between	ADP
ajst-5394	37	14	calculated	calculated	ADJ
ajst-5394	37	15	and	and	CCONJ
ajst-5394	37	16	actual	actual	ADJ
ajst-5394	37	17	effective	effective	ADJ
ajst-5394	37	18	temperature	temperature	NOUN
ajst-5394	37	19	values	value	NOUN
ajst-5394	37	20	under	under	ADP
ajst-5394	37	21	klsr	klsr	PROPN
ajst-5394	37	22	and	and	CCONJ
ajst-5394	37	23	kpcr	kpcr	ADJ
ajst-5394	37	24	models	model	NOUN
ajst-5394	37	25	93	93	NUM
ajst-5394	37	26	3.1.2	3.1.2	NUM
ajst-5394	37	27	.	.	PUNCT
ajst-5394	38	1	experiment	experiment	NOUN
ajst-5394	38	2	of	of	ADP
ajst-5394	38	3	kernel	kernel	PROPN
ajst-5394	38	4	regression	regression	PROPN
ajst-5394	38	5	model	model	NOUN
ajst-5394	38	6	with	with	ADP
ajst-5394	38	7	noise	noise	NOUN
ajst-5394	38	8	(	(	PUNCT
ajst-5394	38	9	a	a	X
ajst-5394	38	10	)	)	PUNCT
ajst-5394	38	11	klsr	klsr	NOUN
ajst-5394	38	12	(	(	PUNCT
ajst-5394	38	13	b	b	NOUN
ajst-5394	38	14	)	)	PUNCT
ajst-5394	38	15	kpcr	kpcr	ADJ
ajst-5394	38	16	figure	figure	VERB
ajst-5394	38	17	3	3	NUM
ajst-5394	38	18	.	.	X
ajst-5394	38	19	relationship	relationship	NOUN
ajst-5394	38	20	between	between	ADP
ajst-5394	38	21	calculated	calculated	ADJ
ajst-5394	38	22	and	and	CCONJ
ajst-5394	38	23	actual	actual	ADJ
ajst-5394	38	24	effective	effective	ADJ
ajst-5394	38	25	temperature	temperature	NOUN
ajst-5394	38	26	values	value	NOUN
ajst-5394	38	27	under	under	ADP
ajst-5394	38	28	klsr	klsr	PROPN
ajst-5394	38	29	and	and	CCONJ
ajst-5394	38	30	kpcr	kpcr	ADJ
ajst-5394	38	31	models	model	NOUN
ajst-5394	38	32	with	with	ADP
ajst-5394	38	33	data	datum	NOUN
ajst-5394	38	34	noise	noise	NOUN
ajst-5394	38	35	3.1.3	3.1.3	NUM
ajst-5394	38	36	.	.	PUNCT
ajst-5394	39	1	experimental	experimental	ADJ
ajst-5394	39	2	result	result	NOUN
ajst-5394	39	3	combined	combine	VERB
ajst-5394	39	4	with	with	ADP
ajst-5394	39	5	figure	figure	NOUN
ajst-5394	39	6	2	2	NUM
ajst-5394	39	7	and	and	CCONJ
ajst-5394	39	8	figure	figure	VERB
ajst-5394	39	9	3	3	NUM
ajst-5394	39	10	,	,	PUNCT
ajst-5394	39	11	it	it	PRON
ajst-5394	39	12	can	can	AUX
ajst-5394	39	13	be	be	AUX
ajst-5394	39	14	seen	see	VERB
ajst-5394	39	15	that	that	SCONJ
ajst-5394	39	16	the	the	DET
ajst-5394	39	17	klsr	klsr	PROPN
ajst-5394	39	18	model	model	NOUN
ajst-5394	39	19	and	and	CCONJ
ajst-5394	39	20	kpcr	kpcr	ADJ
ajst-5394	39	21	model	model	NOUN
ajst-5394	39	22	can	can	AUX
ajst-5394	39	23	better	well	ADV
ajst-5394	39	24	predict	predict	VERB
ajst-5394	39	25	the	the	DET
ajst-5394	39	26	effective	effective	ADJ
ajst-5394	39	27	temperature	temperature	NOUN
ajst-5394	39	28	of	of	ADP
ajst-5394	39	29	the	the	DET
ajst-5394	39	30	stellar	stellar	ADJ
ajst-5394	39	31	spectrum	spectrum	NOUN
ajst-5394	39	32	in	in	ADP
ajst-5394	39	33	the	the	DET
ajst-5394	39	34	absence	absence	NOUN
ajst-5394	39	35	of	of	ADP
ajst-5394	39	36	data	datum	NOUN
ajst-5394	39	37	noise	noise	NOUN
ajst-5394	39	38	interference	interference	NOUN
ajst-5394	39	39	,	,	PUNCT
ajst-5394	39	40	but	but	CCONJ
ajst-5394	39	41	the	the	DET
ajst-5394	39	42	robustness	robustness	NOUN
ajst-5394	39	43	of	of	ADP
ajst-5394	39	44	kpcr	kpcr	ADV
ajst-5394	39	45	is	be	AUX
ajst-5394	39	46	relatively	relatively	ADV
ajst-5394	39	47	good	good	ADJ
ajst-5394	39	48	after	after	ADP
ajst-5394	39	49	adding	add	VERB
ajst-5394	39	50	noise	noise	NOUN
ajst-5394	39	51	.	.	PUNCT
ajst-5394	40	1	in	in	ADP
ajst-5394	40	2	addition	addition	NOUN
ajst-5394	40	3	,	,	PUNCT
ajst-5394	40	4	due	due	ADP
ajst-5394	40	5	to	to	ADP
ajst-5394	40	6	the	the	DET
ajst-5394	40	7	nonlinear	nonlinear	ADJ
ajst-5394	40	8	dimensionality	dimensionality	NOUN
ajst-5394	40	9	reduction	reduction	NOUN
ajst-5394	40	10	,	,	PUNCT
ajst-5394	40	11	the	the	DET
ajst-5394	40	12	training	training	NOUN
ajst-5394	40	13	speed	speed	NOUN
ajst-5394	40	14	of	of	ADP
ajst-5394	40	15	kpcr	kpcr	ADJ
ajst-5394	40	16	model	model	NOUN
ajst-5394	40	17	will	will	AUX
ajst-5394	40	18	be	be	AUX
ajst-5394	40	19	faster	fast	ADJ
ajst-5394	40	20	,	,	PUNCT
ajst-5394	40	21	and	and	CCONJ
ajst-5394	40	22	this	this	DET
ajst-5394	40	23	advantage	advantage	NOUN
ajst-5394	40	24	will	will	AUX
ajst-5394	40	25	become	become	VERB
ajst-5394	40	26	more	more	ADV
ajst-5394	40	27	obvious	obvious	ADJ
ajst-5394	40	28	with	with	ADP
ajst-5394	40	29	the	the	DET
ajst-5394	40	30	increase	increase	NOUN
ajst-5394	40	31	of	of	ADP
ajst-5394	40	32	spectral	spectral	ADJ
ajst-5394	40	33	data	datum	NOUN
ajst-5394	40	34	dimension	dimension	NOUN
ajst-5394	40	35	and	and	CCONJ
ajst-5394	40	36	volume	volume	NOUN
ajst-5394	40	37	.	.	PUNCT
ajst-5394	41	1	the	the	DET
ajst-5394	41	2	table	table	NOUN
ajst-5394	41	3	1	1	NUM
ajst-5394	41	4	lists	list	VERB
ajst-5394	41	5	the	the	DET
ajst-5394	41	6	training	training	NOUN
ajst-5394	41	7	indicators	indicator	NOUN
ajst-5394	41	8	of	of	ADP
ajst-5394	41	9	the	the	DET
ajst-5394	41	10	two	two	NUM
ajst-5394	41	11	methods	method	NOUN
ajst-5394	41	12	in	in	ADP
ajst-5394	41	13	both	both	DET
ajst-5394	41	14	cases	case	NOUN
ajst-5394	41	15	.	.	PUNCT
ajst-5394	42	1	table	table	NOUN
ajst-5394	42	2	1	1	NUM
ajst-5394	42	3	.	.	PUNCT
ajst-5394	43	1	training	training	NOUN
ajst-5394	43	2	indexes	index	NOUN
ajst-5394	43	3	of	of	ADP
ajst-5394	43	4	klsr	klsr	PROPN
ajst-5394	43	5	model	model	NOUN
ajst-5394	43	6	and	and	CCONJ
ajst-5394	43	7	kpcr	kpcr	ADJ
ajst-5394	43	8	model	model	NOUN
ajst-5394	43	9	in	in	ADP
ajst-5394	43	10	two	two	NUM
ajst-5394	43	11	modes	mode	NOUN
ajst-5394	43	12	absolute	absolute	ADJ
ajst-5394	43	13	error	error	NOUN
ajst-5394	43	14	without	without	ADP
ajst-5394	43	15	noise	noise	NOUN
ajst-5394	43	16	(	(	PUNCT
ajst-5394	43	17	log	log	NOUN
ajst-5394	43	18	teff	teff	NOUN
ajst-5394	43	19	)	)	PUNCT
ajst-5394	43	20	absolute	absolute	ADJ
ajst-5394	43	21	error	error	NOUN
ajst-5394	43	22	with	with	ADP
ajst-5394	43	23	noise	noise	NOUN
ajst-5394	43	24	(	(	PUNCT
ajst-5394	43	25	log	log	NOUN
ajst-5394	43	26	teff	teff	NOUN
ajst-5394	43	27	)	)	PUNCT
ajst-5394	43	28	average	average	ADJ
ajst-5394	43	29	training	training	NOUN
ajst-5394	43	30	time	time	NOUN
ajst-5394	43	31	(	(	PUNCT
ajst-5394	43	32	h	h	NOUN
ajst-5394	43	33	)	)	PUNCT
ajst-5394	43	34	klsr	klsr	PROPN
ajst-5394	43	35	0.0008	0.0008	NUM
ajst-5394	43	36	0.0319	0.0319	NUM
ajst-5394	43	37	6.5	6.5	NUM
ajst-5394	43	38	kpcr	kpcr	ADV
ajst-5394	43	39	0.0056	0.0056	NUM
ajst-5394	43	40	0.0107	0.0107	NUM
ajst-5394	43	41	3	3	NUM
ajst-5394	43	42	it	it	PRON
ajst-5394	43	43	is	be	AUX
ajst-5394	43	44	worth	worth	ADJ
ajst-5394	43	45	noting	note	VERB
ajst-5394	43	46	that	that	SCONJ
ajst-5394	43	47	the	the	DET
ajst-5394	43	48	kernel	kernel	PROPN
ajst-5394	43	49	function	function	NOUN
ajst-5394	43	50	of	of	ADP
ajst-5394	43	51	this	this	DET
ajst-5394	43	52	study	study	NOUN
ajst-5394	43	53	uses	use	VERB
ajst-5394	43	54	gauss	gauss	ADJ
ajst-5394	43	55	kernel	kernel	PROPN
ajst-5394	43	56	,	,	PUNCT
ajst-5394	43	57	such	such	ADJ
ajst-5394	43	58	as	as	ADP
ajst-5394	43	59	support	support	NOUN
ajst-5394	43	60	vector	vector	NOUN
ajst-5394	43	61	(	(	PUNCT
ajst-5394	43	62	svm	svm	ADJ
ajst-5394	43	63	)	)	PUNCT
ajst-5394	43	64	regression	regression	NOUN
ajst-5394	43	65	or	or	CCONJ
ajst-5394	43	66	neural	neural	ADJ
ajst-5394	43	67	network	network	NOUN
ajst-5394	43	68	method	method	NOUN
ajst-5394	43	69	to	to	PART
ajst-5394	43	70	construct	construct	VERB
ajst-5394	43	71	the	the	DET
ajst-5394	43	72	regression	regression	NOUN
ajst-5394	43	73	function	function	NOUN
ajst-5394	43	74	,	,	PUNCT
ajst-5394	43	75	and	and	CCONJ
ajst-5394	43	76	the	the	DET
ajst-5394	43	77	results	result	NOUN
ajst-5394	43	78	will	will	AUX
ajst-5394	43	79	show	show	VERB
ajst-5394	43	80	similar	similar	ADJ
ajst-5394	43	81	results	result	NOUN
ajst-5394	43	82	,	,	PUNCT
ajst-5394	43	83	which	which	PRON
ajst-5394	43	84	has	have	AUX
ajst-5394	43	85	been	be	AUX
ajst-5394	43	86	proved	prove	VERB
ajst-5394	43	87	by	by	ADP
ajst-5394	43	88	experiments	experiment	NOUN
ajst-5394	43	89	,	,	PUNCT
ajst-5394	43	90	and	and	CCONJ
ajst-5394	43	91	will	will	AUX
ajst-5394	43	92	not	not	PART
ajst-5394	43	93	be	be	AUX
ajst-5394	43	94	repeated	repeat	VERB
ajst-5394	43	95	.	.	PUNCT
ajst-5394	44	1	for	for	ADP
ajst-5394	44	2	the	the	DET
ajst-5394	44	3	regression	regression	NOUN
ajst-5394	44	4	of	of	ADP
ajst-5394	44	5	effective	effective	ADJ
ajst-5394	44	6	temperature	temperature	NOUN
ajst-5394	44	7	,	,	PUNCT
ajst-5394	44	8	parameters	parameter	NOUN
ajst-5394	44	9	are	be	AUX
ajst-5394	44	10	also	also	ADV
ajst-5394	44	11	very	very	ADV
ajst-5394	44	12	important	important	ADJ
ajst-5394	44	13	influencing	influence	VERB
ajst-5394	44	14	factors	factor	NOUN
ajst-5394	44	15	in	in	ADP
ajst-5394	44	16	addition	addition	NOUN
ajst-5394	44	17	to	to	ADP
ajst-5394	44	18	the	the	DET
ajst-5394	44	19	model	model	NOUN
ajst-5394	44	20	.	.	PUNCT
ajst-5394	45	1	if	if	SCONJ
ajst-5394	45	2	the	the	DET
ajst-5394	45	3	relationship	relationship	NOUN
ajst-5394	45	4	between	between	ADP
ajst-5394	45	5	important	important	ADJ
ajst-5394	45	6	parameters	parameter	NOUN
ajst-5394	45	7	and	and	CCONJ
ajst-5394	45	8	effective	effective	ADJ
ajst-5394	45	9	temperature	temperature	NOUN
ajst-5394	45	10	can	can	AUX
ajst-5394	45	11	be	be	AUX
ajst-5394	45	12	found	find	VERB
ajst-5394	45	13	,	,	PUNCT
ajst-5394	45	14	the	the	DET
ajst-5394	45	15	regression	regression	NOUN
ajst-5394	45	16	accuracy	accuracy	NOUN
ajst-5394	45	17	can	can	AUX
ajst-5394	45	18	be	be	AUX
ajst-5394	45	19	greatly	greatly	ADV
ajst-5394	45	20	improved	improve	VERB
ajst-5394	45	21	.	.	PUNCT
ajst-5394	46	1	the	the	DET
ajst-5394	46	2	following	follow	VERB
ajst-5394	46	3	will	will	AUX
ajst-5394	46	4	introduce	introduce	VERB
ajst-5394	46	5	the	the	DET
ajst-5394	46	6	impact	impact	NOUN
ajst-5394	46	7	of	of	ADP
ajst-5394	46	8	two	two	NUM
ajst-5394	46	9	key	key	ADJ
ajst-5394	46	10	characteristic	characteristic	ADJ
ajst-5394	46	11	values	value	NOUN
ajst-5394	46	12	on	on	ADP
ajst-5394	46	13	the	the	DET
ajst-5394	46	14	regression	regression	NOUN
ajst-5394	46	15	effect	effect	NOUN
ajst-5394	46	16	.	.	PUNCT
ajst-5394	47	1	3.2	3.2	NUM
ajst-5394	47	2	.	.	PUNCT
ajst-5394	47	3	eigenvalue	eigenvalue	PROPN
ajst-5394	47	4	fitting	fit	VERB
ajst-5394	47	5	the	the	DET
ajst-5394	47	6	characteristics	characteristic	NOUN
ajst-5394	47	7	of	of	ADP
ajst-5394	47	8	spectrum	spectrum	NOUN
ajst-5394	47	9	can	can	AUX
ajst-5394	47	10	be	be	AUX
ajst-5394	47	11	described	describe	VERB
ajst-5394	47	12	by	by	ADP
ajst-5394	47	13	spectral	spectral	ADJ
ajst-5394	47	14	line	line	NOUN
ajst-5394	47	15	index	index	NOUN
ajst-5394	47	16	,	,	PUNCT
ajst-5394	47	17	of	of	ADP
ajst-5394	47	18	which	which	PRON
ajst-5394	47	19	the	the	DET
ajst-5394	47	20	lick	lick	PROPN
ajst-5394	47	21	line	line	NOUN
ajst-5394	47	22	index	index	NOUN
ajst-5394	47	23	is	be	AUX
ajst-5394	47	24	the	the	DET
ajst-5394	47	25	most	most	ADV
ajst-5394	47	26	extensive	extensive	ADJ
ajst-5394	47	27	.	.	PUNCT
ajst-5394	48	1	in	in	ADP
ajst-5394	48	2	1994	1994	NUM
ajst-5394	48	3	guy	guy	NOUN
ajst-5394	48	4	worthy	worthy	ADJ
ajst-5394	48	5	[	[	PUNCT
ajst-5394	48	6	6	6	NUM
ajst-5394	48	7	]	]	PUNCT
ajst-5394	48	8	and	and	CCONJ
ajst-5394	48	9	others	other	NOUN
ajst-5394	48	10	gave	give	VERB
ajst-5394	48	11	the	the	DET
ajst-5394	48	12	complete	complete	ADJ
ajst-5394	48	13	definition	definition	NOUN
ajst-5394	48	14	and	and	CCONJ
ajst-5394	48	15	description	description	NOUN
ajst-5394	48	16	of	of	ADP
ajst-5394	48	17	the	the	DET
ajst-5394	48	18	lick	lick	PROPN
ajst-5394	48	19	line	line	PROPN
ajst-5394	48	20	index	index	PROPN
ajst-5394	48	21	,	,	PUNCT
ajst-5394	48	22	which	which	PRON
ajst-5394	48	23	gave	give	VERB
ajst-5394	48	24	26	26	NUM
ajst-5394	48	25	kinds	kind	NOUN
ajst-5394	48	26	of	of	ADP
ajst-5394	48	27	lick	lick	ADJ
ajst-5394	48	28	line	line	PROPN
ajst-5394	48	29	index	index	PROPN
ajst-5394	48	30	.	.	PUNCT
ajst-5394	49	1	this	this	DET
ajst-5394	49	2	paper	paper	NOUN
ajst-5394	49	3	selected	select	VERB
ajst-5394	49	4	the	the	DET
ajst-5394	49	5	most	most	ADV
ajst-5394	49	6	representative	representative	ADJ
ajst-5394	49	7	kp12	kp12	PROPN
ajst-5394	49	8	and	and	CCONJ
ajst-5394	49	9	halpha12	halpha12	NOUN
ajst-5394	49	10	fields	field	NOUN
ajst-5394	49	11	to	to	PART
ajst-5394	49	12	study	study	VERB
ajst-5394	49	13	,	,	PUNCT
ajst-5394	49	14	and	and	CCONJ
ajst-5394	49	15	used	use	VERB
ajst-5394	49	16	kpcr	kpcr	ADJ
ajst-5394	49	17	model	model	NOUN
ajst-5394	49	18	to	to	ADP
ajst-5394	49	19	regress	regress	VERB
ajst-5394	49	20	the	the	DET
ajst-5394	49	21	two	two	NUM
ajst-5394	49	22	fields	field	NOUN
ajst-5394	49	23	respectively	respectively	ADV
ajst-5394	49	24	,	,	PUNCT
ajst-5394	49	25	and	and	CCONJ
ajst-5394	49	26	then	then	ADV
ajst-5394	49	27	analyzed	analyze	VERB
ajst-5394	49	28	the	the	DET
ajst-5394	49	29	relationship	relationship	NOUN
ajst-5394	49	30	between	between	ADP
ajst-5394	49	31	the	the	DET
ajst-5394	49	32	lick	lick	PROPN
ajst-5394	49	33	line	line	NOUN
ajst-5394	49	34	index	index	NOUN
ajst-5394	49	35	and	and	CCONJ
ajst-5394	49	36	teff	teff	NOUN
ajst-5394	49	37	,	,	PUNCT
ajst-5394	49	38	the	the	DET
ajst-5394	49	39	regression	regression	NOUN
ajst-5394	49	40	results	result	NOUN
ajst-5394	49	41	are	be	AUX
ajst-5394	49	42	shown	show	VERB
ajst-5394	49	43	in	in	ADP
ajst-5394	49	44	figure	figure	NOUN
ajst-5394	49	45	4	4	NUM
ajst-5394	49	46	:	:	PUNCT
ajst-5394	49	47	figure	figure	NOUN
ajst-5394	49	48	4	4	NUM
ajst-5394	49	49	.	.	PUNCT
ajst-5394	49	50	fitting	fitting	ADJ
ajst-5394	49	51	analysis	analysis	NOUN
ajst-5394	49	52	of	of	ADP
ajst-5394	49	53	correlation	correlation	NOUN
ajst-5394	49	54	between	between	ADP
ajst-5394	49	55	two	two	NUM
ajst-5394	49	56	kinds	kind	NOUN
ajst-5394	49	57	of	of	ADP
ajst-5394	49	58	lick	lick	ADJ
ajst-5394	49	59	line	line	NOUN
ajst-5394	49	60	index	index	NOUN
ajst-5394	49	61	and	and	CCONJ
ajst-5394	49	62	effective	effective	ADJ
ajst-5394	49	63	temperature	temperature	NOUN
ajst-5394	49	64	from	from	ADP
ajst-5394	49	65	the	the	DET
ajst-5394	49	66	experimental	experimental	ADJ
ajst-5394	49	67	results	result	NOUN
ajst-5394	49	68	,	,	PUNCT
ajst-5394	49	69	it	it	PRON
ajst-5394	49	70	can	can	AUX
ajst-5394	49	71	be	be	AUX
ajst-5394	49	72	seen	see	VERB
ajst-5394	49	73	that	that	SCONJ
ajst-5394	49	74	under	under	ADP
ajst-5394	49	75	the	the	DET
ajst-5394	49	76	condition	condition	NOUN
ajst-5394	49	77	of	of	ADP
ajst-5394	49	78	large	large	ADJ
ajst-5394	49	79	samples	sample	NOUN
ajst-5394	49	80	,	,	PUNCT
ajst-5394	49	81	the	the	DET
ajst-5394	49	82	effective	effective	ADJ
ajst-5394	49	83	temperature	temperature	NOUN
ajst-5394	49	84	of	of	ADP
ajst-5394	49	85	the	the	DET
ajst-5394	49	86	star	star	NOUN
ajst-5394	49	87	spectrum	spectrum	PROPN
ajst-5394	49	88	has	have	VERB
ajst-5394	49	89	a	a	DET
ajst-5394	49	90	certain	certain	ADJ
ajst-5394	49	91	correlation	correlation	NOUN
ajst-5394	49	92	with	with	ADP
ajst-5394	49	93	the	the	DET
ajst-5394	49	94	kp12	kp12	PROPN
ajst-5394	49	95	field	field	NOUN
ajst-5394	49	96	and	and	CCONJ
ajst-5394	49	97	the	the	DET
ajst-5394	49	98	halpha12	halpha12	ADJ
ajst-5394	49	99	field	field	NOUN
ajst-5394	49	100	.	.	PUNCT
ajst-5394	50	1	among	among	ADP
ajst-5394	50	2	them	they	PRON
ajst-5394	50	3	,	,	PUNCT
ajst-5394	50	4	the	the	DET
ajst-5394	50	5	outliers	outlier	NOUN
ajst-5394	50	6	of	of	ADP
ajst-5394	50	7	the	the	DET
ajst-5394	50	8	halpha12	halpha12	ADJ
ajst-5394	50	9	field	field	NOUN
ajst-5394	50	10	are	be	AUX
ajst-5394	50	11	less	less	ADJ
ajst-5394	50	12	,	,	PUNCT
ajst-5394	50	13	and	and	CCONJ
ajst-5394	50	14	the	the	DET
ajst-5394	50	15	correlation	correlation	NOUN
ajst-5394	50	16	is	be	AUX
ajst-5394	50	17	more	more	ADV
ajst-5394	50	18	obvious	obvious	ADJ
ajst-5394	50	19	.	.	PUNCT
ajst-5394	51	1	after	after	ADP
ajst-5394	51	2	linear	linear	PROPN
ajst-5394	51	3	fitting	fitting	ADJ
ajst-5394	51	4	,	,	PUNCT
ajst-5394	51	5	their	their	PRON
ajst-5394	51	6	respective	respective	ADJ
ajst-5394	51	7	fitting	fitting	ADJ
ajst-5394	51	8	curves	curve	NOUN
ajst-5394	51	9	are	be	AUX
ajst-5394	51	10	drawn	draw	VERB
ajst-5394	51	11	.	.	PUNCT
ajst-5394	52	1	the	the	DET
ajst-5394	52	2	fitting	fitting	ADJ
ajst-5394	52	3	curves	curve	NOUN
ajst-5394	52	4	of	of	ADP
ajst-5394	52	5	the	the	DET
ajst-5394	52	6	kp12	kp12	PROPN
ajst-5394	52	7	field	field	NOUN
ajst-5394	52	8	and	and	CCONJ
ajst-5394	52	9	the	the	DET
ajst-5394	52	10	effective	effective	ADJ
ajst-5394	52	11	temperature	temperature	NOUN
ajst-5394	52	12	are	be	AUX
ajst-5394	52	13	shown	show	VERB
ajst-5394	52	14	in	in	ADP
ajst-5394	52	15	the	the	DET
ajst-5394	52	16	blue	blue	ADJ
ajst-5394	52	17	line	line	NOUN
ajst-5394	52	18	in	in	ADP
ajst-5394	52	19	the	the	DET
ajst-5394	52	20	figure	figure	NOUN
ajst-5394	52	21	,	,	PUNCT
ajst-5394	52	22	and	and	CCONJ
ajst-5394	52	23	the	the	DET
ajst-5394	52	24	fitting	fitting	ADJ
ajst-5394	52	25	curves	curve	NOUN
ajst-5394	52	26	of	of	ADP
ajst-5394	52	27	the	the	DET
ajst-5394	52	28	halpha12	halpha12	ADJ
ajst-5394	52	29	field	field	NOUN
ajst-5394	52	30	and	and	CCONJ
ajst-5394	52	31	the	the	DET
ajst-5394	52	32	effective	effective	ADJ
ajst-5394	52	33	temperature	temperature	NOUN
ajst-5394	52	34	are	be	AUX
ajst-5394	52	35	shown	show	VERB
ajst-5394	52	36	in	in	ADP
ajst-5394	52	37	the	the	DET
ajst-5394	52	38	green	green	ADJ
ajst-5394	52	39	line	line	NOUN
ajst-5394	52	40	in	in	ADP
ajst-5394	52	41	the	the	DET
ajst-5394	52	42	figure	figure	NOUN
ajst-5394	52	43	,	,	PUNCT
ajst-5394	52	44	the	the	DET
ajst-5394	52	45	specific	specific	ADJ
ajst-5394	52	46	correlation	correlation	NOUN
ajst-5394	52	47	values	value	NOUN
ajst-5394	52	48	are	be	AUX
ajst-5394	52	49	shown	show	VERB
ajst-5394	52	50	in	in	ADP
ajst-5394	52	51	the	the	DET
ajst-5394	52	52	table	table	NOUN
ajst-5394	52	53	below	below	ADV
ajst-5394	52	54	.	.	PUNCT
ajst-5394	53	1	by	by	ADP
ajst-5394	53	2	fitting	fit	VERB
ajst-5394	53	3	the	the	DET
ajst-5394	53	4	curve	curve	NOUN
ajst-5394	53	5	,	,	PUNCT
ajst-5394	53	6	the	the	DET
ajst-5394	53	7	effective	effective	ADJ
ajst-5394	53	8	temperature	temperature	NOUN
ajst-5394	53	9	value	value	NOUN
ajst-5394	53	10	of	of	ADP
ajst-5394	53	11	the	the	DET
ajst-5394	53	12	spectrum	spectrum	NOUN
ajst-5394	53	13	can	can	AUX
ajst-5394	53	14	be	be	AUX
ajst-5394	53	15	roughly	roughly	ADV
ajst-5394	53	16	calculated	calculate	VERB
ajst-5394	53	17	from	from	ADP
ajst-5394	53	18	the	the	DET
ajst-5394	53	19	two	two	NUM
ajst-5394	53	20	field	field	NOUN
ajst-5394	53	21	values	value	NOUN
ajst-5394	53	22	of	of	ADP
ajst-5394	53	23	the	the	DET
ajst-5394	53	24	spectrum	spectrum	NOUN
ajst-5394	53	25	.	.	PUNCT
ajst-5394	54	1	the	the	DET
ajst-5394	54	2	error	error	NOUN
ajst-5394	54	3	value	value	NOUN
ajst-5394	54	4	depends	depend	VERB
ajst-5394	54	5	on	on	ADP
ajst-5394	54	6	the	the	DET
ajst-5394	54	7	range	range	NOUN
ajst-5394	54	8	of	of	ADP
ajst-5394	54	9	the	the	DET
ajst-5394	54	10	specific	specific	ADJ
ajst-5394	54	11	value	value	NOUN
ajst-5394	54	12	to	to	PART
ajst-5394	54	13	be	be	AUX
ajst-5394	54	14	corrected	correct	VERB
ajst-5394	54	15	,	,	PUNCT
ajst-5394	54	16	and	and	CCONJ
ajst-5394	54	17	the	the	DET
ajst-5394	54	18	specific	specific	ADJ
ajst-5394	54	19	correction	correction	NOUN
ajst-5394	54	20	parameters	parameter	NOUN
ajst-5394	54	21	can	can	AUX
ajst-5394	54	22	be	be	AUX
ajst-5394	54	23	calculated	calculate	VERB
ajst-5394	54	24	by	by	ADP
ajst-5394	54	25	ridge	ridge	NOUN
ajst-5394	54	26	regression	regression	NOUN
ajst-5394	54	27	and	and	CCONJ
ajst-5394	54	28	other	other	ADJ
ajst-5394	54	29	methods	method	NOUN
ajst-5394	54	30	.	.	PUNCT
ajst-5394	55	1	94	94	NUM
ajst-5394	55	2	table	table	NOUN
ajst-5394	55	3	2	2	NUM
ajst-5394	55	4	.	.	PUNCT
ajst-5394	55	5	correlation	correlation	NOUN
ajst-5394	55	6	value	value	NOUN
ajst-5394	55	7	of	of	ADP
ajst-5394	55	8	two	two	NUM
ajst-5394	55	9	kinds	kind	NOUN
ajst-5394	55	10	of	of	ADP
ajst-5394	55	11	lick	lick	ADJ
ajst-5394	55	12	line	line	NOUN
ajst-5394	55	13	index	index	NOUN
ajst-5394	55	14	and	and	CCONJ
ajst-5394	55	15	effective	effective	ADJ
ajst-5394	55	16	temperature	temperature	NOUN
ajst-5394	55	17	correlation	correlation	NOUN
ajst-5394	55	18	coefficient	coefficient	NOUN
ajst-5394	55	19	teff	teff	NOUN
ajst-5394	55	20	kp12	kp12	PROPN
ajst-5394	55	21	hdelta12	hdelta12	VERB
ajst-5394	55	22	teff	teff	NOUN
ajst-5394	55	23	1	1	NUM
ajst-5394	55	24	0.698	0.698	NUM
ajst-5394	55	25	0.897	0.897	NUM
ajst-5394	55	26	kp12	kp12	PROPN
ajst-5394	55	27	0.698	0.698	NUM
ajst-5394	55	28	1	1	NUM
ajst-5394	55	29	-0.745	-0.745	NOUN
ajst-5394	55	30	hdelta12	hdelta12	NOUN
ajst-5394	55	31	0.897	0.897	NUM
ajst-5394	55	32	-0.745	-0.745	SYM
ajst-5394	55	33	1	1	NUM
ajst-5394	55	34	4	4	NUM
ajst-5394	55	35	.	.	PUNCT
ajst-5394	56	1	conclusion	conclusion	NOUN
ajst-5394	56	2	in	in	ADP
ajst-5394	56	3	this	this	DET
ajst-5394	56	4	study	study	NOUN
ajst-5394	56	5	,	,	PUNCT
ajst-5394	56	6	two	two	NUM
ajst-5394	56	7	different	different	ADJ
ajst-5394	56	8	nuclear	nuclear	ADJ
ajst-5394	56	9	regression	regression	NOUN
ajst-5394	56	10	models	model	NOUN
ajst-5394	56	11	were	be	AUX
ajst-5394	56	12	used	use	VERB
ajst-5394	56	13	to	to	PART
ajst-5394	56	14	regress	regress	VERB
ajst-5394	56	15	the	the	DET
ajst-5394	56	16	stellar	stellar	ADJ
ajst-5394	56	17	spectral	spectral	ADJ
ajst-5394	56	18	data	datum	NOUN
ajst-5394	56	19	under	under	ADP
ajst-5394	56	20	different	different	ADJ
ajst-5394	56	21	conditions	condition	NOUN
ajst-5394	56	22	.	.	PUNCT
ajst-5394	57	1	through	through	ADP
ajst-5394	57	2	the	the	DET
ajst-5394	57	3	performance	performance	NOUN
ajst-5394	57	4	of	of	ADP
ajst-5394	57	5	the	the	DET
ajst-5394	57	6	model	model	NOUN
ajst-5394	57	7	under	under	ADP
ajst-5394	57	8	different	different	ADJ
ajst-5394	57	9	conditions	condition	NOUN
ajst-5394	57	10	,	,	PUNCT
ajst-5394	57	11	the	the	DET
ajst-5394	57	12	model	model	NOUN
ajst-5394	57	13	is	be	AUX
ajst-5394	57	14	evaluated	evaluate	VERB
ajst-5394	57	15	from	from	ADP
ajst-5394	57	16	the	the	DET
ajst-5394	57	17	point	point	NOUN
ajst-5394	57	18	of	of	ADP
ajst-5394	57	19	view	view	NOUN
ajst-5394	57	20	of	of	ADP
ajst-5394	57	21	model	model	NOUN
ajst-5394	57	22	fitting	fitting	ADJ
ajst-5394	57	23	degree	degree	NOUN
ajst-5394	57	24	,	,	PUNCT
ajst-5394	57	25	training	training	NOUN
ajst-5394	57	26	time	time	NOUN
ajst-5394	57	27	and	and	CCONJ
ajst-5394	57	28	other	other	ADJ
ajst-5394	57	29	indicators	indicator	NOUN
ajst-5394	57	30	,	,	PUNCT
ajst-5394	57	31	and	and	CCONJ
ajst-5394	57	32	regression	regression	NOUN
ajst-5394	57	33	experiments	experiment	NOUN
ajst-5394	57	34	are	be	AUX
ajst-5394	57	35	carried	carry	VERB
ajst-5394	57	36	out	out	ADP
ajst-5394	57	37	on	on	ADP
ajst-5394	57	38	the	the	DET
ajst-5394	57	39	effective	effective	ADJ
ajst-5394	57	40	temperature	temperature	NOUN
ajst-5394	57	41	of	of	ADP
ajst-5394	57	42	stars	star	NOUN
ajst-5394	57	43	using	use	VERB
ajst-5394	57	44	the	the	DET
ajst-5394	57	45	appropriate	appropriate	ADJ
ajst-5394	57	46	model	model	NOUN
ajst-5394	57	47	and	and	CCONJ
ajst-5394	57	48	the	the	DET
ajst-5394	57	49	lick	lick	PROPN
ajst-5394	57	50	line	line	NOUN
ajst-5394	57	51	index	index	NOUN
ajst-5394	57	52	of	of	ADP
ajst-5394	57	53	star	star	PROPN
ajst-5394	57	54	spectral	spectral	PROPN
ajst-5394	57	55	data	datum	NOUN
ajst-5394	57	56	as	as	ADP
ajst-5394	57	57	the	the	DET
ajst-5394	57	58	indicator	indicator	NOUN
ajst-5394	57	59	,	,	PUNCT
ajst-5394	57	60	and	and	CCONJ
ajst-5394	57	61	the	the	DET
ajst-5394	57	62	fitting	fitting	ADJ
ajst-5394	57	63	relationship	relationship	NOUN
ajst-5394	57	64	between	between	ADP
ajst-5394	57	65	the	the	DET
ajst-5394	57	66	two	two	NUM
ajst-5394	57	67	parameters	parameter	NOUN
ajst-5394	57	68	and	and	CCONJ
ajst-5394	57	69	the	the	DET
ajst-5394	57	70	effective	effective	ADJ
ajst-5394	57	71	temperature	temperature	NOUN
ajst-5394	57	72	of	of	ADP
ajst-5394	57	73	stars	star	NOUN
ajst-5394	57	74	is	be	AUX
ajst-5394	57	75	obtained	obtain	VERB
ajst-5394	57	76	,	,	PUNCT
ajst-5394	57	77	and	and	CCONJ
ajst-5394	57	78	the	the	DET
ajst-5394	57	79	method	method	NOUN
ajst-5394	57	80	for	for	ADP
ajst-5394	57	81	predicting	predict	VERB
ajst-5394	57	82	the	the	DET
ajst-5394	57	83	effective	effective	ADJ
ajst-5394	57	84	temperature	temperature	NOUN
ajst-5394	57	85	of	of	ADP
ajst-5394	57	86	the	the	DET
ajst-5394	57	87	measured	measured	ADJ
ajst-5394	57	88	spectral	spectral	ADJ
ajst-5394	57	89	data	datum	NOUN
ajst-5394	57	90	under	under	ADP
ajst-5394	57	91	large	large	ADJ
ajst-5394	57	92	samples	sample	NOUN
ajst-5394	57	93	is	be	AUX
ajst-5394	57	94	given	give	VERB
ajst-5394	57	95	,	,	PUNCT
ajst-5394	57	96	then	then	ADV
ajst-5394	57	97	correctly	correctly	ADV
ajst-5394	57	98	predict	predict	VERB
ajst-5394	57	99	the	the	DET
ajst-5394	57	100	development	development	NOUN
ajst-5394	57	101	curve	curve	NOUN
ajst-5394	57	102	of	of	ADP
ajst-5394	57	103	future	future	ADJ
ajst-5394	57	104	star	star	NOUN
ajst-5394	57	105	evolution	evolution	NOUN
ajst-5394	57	106	,	,	PUNCT
ajst-5394	57	107	and	and	CCONJ
ajst-5394	57	108	provide	provide	VERB
ajst-5394	57	109	a	a	DET
ajst-5394	57	110	reliable	reliable	ADJ
ajst-5394	57	111	demonstration	demonstration	NOUN
ajst-5394	57	112	model	model	NOUN
ajst-5394	57	113	for	for	ADP
ajst-5394	57	114	subsequent	subsequent	ADJ
ajst-5394	57	115	research	research	NOUN
ajst-5394	57	116	and	and	CCONJ
ajst-5394	57	117	analysis	analysis	NOUN
ajst-5394	57	118	of	of	ADP
ajst-5394	57	119	star	star	NOUN
ajst-5394	57	120	evolution	evolution	NOUN
ajst-5394	57	121	laws	law	NOUN
ajst-5394	57	122	.	.	PUNCT
ajst-5394	58	1	5	5	X
ajst-5394	58	2	.	.	X
ajst-5394	58	3	future	future	ADJ
ajst-5394	58	4	work	work	NOUN
ajst-5394	58	5	this	this	DET
ajst-5394	58	6	research	research	NOUN
ajst-5394	58	7	can	can	AUX
ajst-5394	58	8	be	be	AUX
ajst-5394	58	9	improved	improve	VERB
ajst-5394	58	10	in	in	ADP
ajst-5394	58	11	the	the	DET
ajst-5394	58	12	following	follow	VERB
ajst-5394	58	13	aspects	aspect	NOUN
ajst-5394	58	14	in	in	ADP
ajst-5394	58	15	the	the	DET
ajst-5394	58	16	future	future	NOUN
ajst-5394	58	17	:	:	PUNCT
ajst-5394	58	18	first	first	ADV
ajst-5394	58	19	,	,	PUNCT
ajst-5394	58	20	use	use	VERB
ajst-5394	58	21	more	more	ADJ
ajst-5394	58	22	kernel	kernel	NOUN
ajst-5394	58	23	functions	function	NOUN
ajst-5394	58	24	to	to	PART
ajst-5394	58	25	repeat	repeat	VERB
ajst-5394	58	26	experiments	experiment	NOUN
ajst-5394	58	27	on	on	ADP
ajst-5394	58	28	the	the	DET
ajst-5394	58	29	model	model	NOUN
ajst-5394	58	30	until	until	SCONJ
ajst-5394	58	31	a	a	DET
ajst-5394	58	32	kernel	kernel	NOUN
ajst-5394	58	33	function	function	VERB
ajst-5394	58	34	with	with	ADP
ajst-5394	58	35	the	the	DET
ajst-5394	58	36	best	good	ADJ
ajst-5394	58	37	accuracy	accuracy	NOUN
ajst-5394	58	38	and	and	CCONJ
ajst-5394	58	39	efficiency	efficiency	NOUN
ajst-5394	58	40	is	be	AUX
ajst-5394	58	41	determined	determine	VERB
ajst-5394	58	42	;	;	PUNCT
ajst-5394	58	43	second	second	ADJ
ajst-5394	58	44	,	,	PUNCT
ajst-5394	58	45	different	different	ADJ
ajst-5394	58	46	types	type	NOUN
ajst-5394	58	47	of	of	ADP
ajst-5394	58	48	stars	star	NOUN
ajst-5394	58	49	may	may	AUX
ajst-5394	58	50	have	have	VERB
ajst-5394	58	51	different	different	ADJ
ajst-5394	58	52	applicability	applicability	NOUN
ajst-5394	58	53	to	to	ADP
ajst-5394	58	54	the	the	DET
ajst-5394	58	55	model	model	NOUN
ajst-5394	58	56	,	,	PUNCT
ajst-5394	58	57	so	so	ADV
ajst-5394	58	58	different	different	ADJ
ajst-5394	58	59	types	type	NOUN
ajst-5394	58	60	of	of	ADP
ajst-5394	58	61	stars	star	NOUN
ajst-5394	58	62	can	can	AUX
ajst-5394	58	63	be	be	AUX
ajst-5394	58	64	used	use	VERB
ajst-5394	58	65	to	to	PART
ajst-5394	58	66	train	train	VERB
ajst-5394	58	67	the	the	DET
ajst-5394	58	68	model	model	NOUN
ajst-5394	58	69	separately	separately	ADV
ajst-5394	58	70	,	,	PUNCT
ajst-5394	58	71	so	so	SCONJ
ajst-5394	58	72	as	as	SCONJ
ajst-5394	58	73	to	to	PART
ajst-5394	58	74	explore	explore	VERB
ajst-5394	58	75	the	the	DET
ajst-5394	58	76	impact	impact	NOUN
ajst-5394	58	77	of	of	ADP
ajst-5394	58	78	star	star	NOUN
ajst-5394	58	79	types	type	NOUN
ajst-5394	58	80	on	on	ADP
ajst-5394	58	81	the	the	DET
ajst-5394	58	82	model	model	NOUN
ajst-5394	58	83	to	to	PART
ajst-5394	58	84	find	find	VERB
ajst-5394	58	85	the	the	DET
ajst-5394	58	86	most	most	ADV
ajst-5394	58	87	applicable	applicable	ADJ
ajst-5394	58	88	model	model	NOUN
ajst-5394	58	89	;	;	PUNCT
ajst-5394	58	90	finally	finally	ADV
ajst-5394	58	91	,	,	PUNCT
ajst-5394	58	92	the	the	DET
ajst-5394	58	93	correlation	correlation	NOUN
ajst-5394	58	94	fitting	fitting	NOUN
ajst-5394	58	95	conducted	conduct	VERB
ajst-5394	58	96	in	in	ADP
ajst-5394	58	97	this	this	DET
ajst-5394	58	98	study	study	NOUN
ajst-5394	58	99	has	have	VERB
ajst-5394	58	100	a	a	DET
ajst-5394	58	101	certain	certain	ADJ
ajst-5394	58	102	error	error	NOUN
ajst-5394	58	103	range	range	NOUN
ajst-5394	58	104	,	,	PUNCT
ajst-5394	58	105	which	which	PRON
ajst-5394	58	106	can	can	AUX
ajst-5394	58	107	be	be	AUX
ajst-5394	58	108	reduced	reduce	VERB
ajst-5394	58	109	by	by	ADP
ajst-5394	58	110	mathematical	mathematical	ADJ
ajst-5394	58	111	means	mean	NOUN
ajst-5394	58	112	such	such	ADJ
ajst-5394	58	113	as	as	ADP
ajst-5394	58	114	ridge	ridge	NOUN
ajst-5394	58	115	regression	regression	NOUN
ajst-5394	59	1	[	[	X
ajst-5394	59	2	7	7	X
ajst-5394	59	3	]	]	PUNCT
ajst-5394	59	4	to	to	PART
ajst-5394	59	5	improve	improve	VERB
ajst-5394	59	6	the	the	DET
ajst-5394	59	7	correlation	correlation	NOUN
ajst-5394	59	8	between	between	ADP
ajst-5394	59	9	lick	lick	PROPN
ajst-5394	59	10	line	line	NOUN
ajst-5394	59	11	index	index	NOUN
ajst-5394	59	12	and	and	CCONJ
ajst-5394	59	13	effective	effective	ADJ
ajst-5394	59	14	temperature	temperature	NOUN
ajst-5394	59	15	,	,	PUNCT
ajst-5394	59	16	so	so	SCONJ
ajst-5394	59	17	as	as	SCONJ
ajst-5394	59	18	to	to	PART
ajst-5394	59	19	better	well	ADV
ajst-5394	59	20	predict	predict	VERB
ajst-5394	59	21	the	the	DET
ajst-5394	59	22	effective	effective	ADJ
ajst-5394	59	23	temperature	temperature	NOUN
ajst-5394	59	24	of	of	ADP
ajst-5394	59	25	stars	star	NOUN
ajst-5394	59	26	.	.	PUNCT
ajst-5394	60	1	references	reference	NOUN
ajst-5394	60	2	[	[	X
ajst-5394	60	3	1	1	NUM
ajst-5394	60	4	]	]	X
ajst-5394	60	5	luo	luo	PROPN
ajst-5394	60	6	a	a	PROPN
ajst-5394	60	7	l	l	NOUN
ajst-5394	60	8	,	,	PUNCT
ajst-5394	60	9	zhao	zhao	PROPN
ajst-5394	60	10	y	y	PROPN
ajst-5394	60	11	h	h	PROPN
ajst-5394	60	12	,	,	PUNCT
ajst-5394	60	13	zhao	zhao	PROPN
ajst-5394	60	14	g	g	PROPN
ajst-5394	60	15	,	,	PUNCT
ajst-5394	60	16	et	et	PROPN
ajst-5394	60	17	al	al	PROPN
ajst-5394	60	18	.	.	PUNCT
ajst-5394	61	1	the	the	DET
ajst-5394	61	2	first	first	ADJ
ajst-5394	61	3	data	data	NOUN
ajst-5394	61	4	release	release	NOUN
ajst-5394	61	5	(	(	PUNCT
ajst-5394	61	6	dr1	dr1	PROPN
ajst-5394	61	7	)	)	PUNCT
ajst-5394	61	8	of	of	ADP
ajst-5394	61	9	the	the	DET
ajst-5394	61	10	lamost	lamost	NOUN
ajst-5394	61	11	regular	regular	ADJ
ajst-5394	61	12	survey[j	survey[j	PROPN
ajst-5394	61	13	]	]	PUNCT
ajst-5394	61	14	.	.	PUNCT
ajst-5394	62	1	research	research	NOUN
ajst-5394	62	2	in	in	ADP
ajst-5394	62	3	astronomy	astronomy	NOUN
ajst-5394	62	4	and	and	CCONJ
ajst-5394	62	5	astrophysics	astrophysic	NOUN
ajst-5394	62	6	,	,	PUNCT
ajst-5394	62	7	2015	2015	NUM
ajst-5394	62	8	,	,	PUNCT
ajst-5394	62	9	15(8	15(8	NUM
ajst-5394	62	10	):	):	PUNCT
ajst-5394	62	11	1095	1095	NUM
ajst-5394	62	12	.	.	PUNCT
ajst-5394	63	1	[	[	X
ajst-5394	63	2	2	2	X
ajst-5394	63	3	]	]	PUNCT
ajst-5394	63	4	bishop	bishop	PROPN
ajst-5394	63	5	c	c	PROPN
ajst-5394	63	6	m.	m.	NOUN
ajst-5394	63	7	neural	neural	ADJ
ajst-5394	63	8	networks	network	NOUN
ajst-5394	63	9	and	and	CCONJ
ajst-5394	63	10	their	their	PRON
ajst-5394	63	11	applications[j	applications[j	NOUN
ajst-5394	63	12	]	]	PUNCT
ajst-5394	63	13	.	.	PUNCT
ajst-5394	64	1	review	review	NOUN
ajst-5394	64	2	of	of	ADP
ajst-5394	64	3	scientific	scientific	ADJ
ajst-5394	64	4	instruments	instrument	NOUN
ajst-5394	64	5	,	,	PUNCT
ajst-5394	64	6	1994	1994	NUM
ajst-5394	64	7	,	,	PUNCT
ajst-5394	64	8	65(6	65(6	NUM
ajst-5394	64	9	):	):	PUNCT
ajst-5394	64	10	1803	1803	NUM
ajst-5394	64	11	-	-	SYM
ajst-5394	64	12	1832	1832	NUM
ajst-5394	64	13	.	.	PUNCT
ajst-5394	65	1	[	[	X
ajst-5394	65	2	3	3	X
ajst-5394	65	3	]	]	X
ajst-5394	65	4	rosipal	rosipal	NOUN
ajst-5394	65	5	r	r	PROPN
ajst-5394	65	6	,	,	PUNCT
ajst-5394	65	7	trejo	trejo	PROPN
ajst-5394	65	8	l	l	PROPN
ajst-5394	65	9	j.	j.	PROPN
ajst-5394	65	10	kernel	kernel	PROPN
ajst-5394	65	11	partial	partial	ADJ
ajst-5394	65	12	least	least	ADJ
ajst-5394	65	13	squares	square	NOUN
ajst-5394	65	14	regression	regression	VERB
ajst-5394	65	15	in	in	ADP
ajst-5394	65	16	reproducing	reproduce	VERB
ajst-5394	65	17	kernel	kernel	PROPN
ajst-5394	65	18	hilbert	hilbert	PROPN
ajst-5394	65	19	space[j	space[j	PROPN
ajst-5394	65	20	]	]	PUNCT
ajst-5394	65	21	.	.	PUNCT
ajst-5394	66	1	journal	journal	PROPN
ajst-5394	66	2	of	of	ADP
ajst-5394	66	3	machine	machine	NOUN
ajst-5394	66	4	learning	learn	VERB
ajst-5394	66	5	research	research	NOUN
ajst-5394	66	6	,	,	PUNCT
ajst-5394	66	7	2001	2001	NUM
ajst-5394	66	8	,	,	PUNCT
ajst-5394	66	9	2(dec	2(dec	NUM
ajst-5394	66	10	):	):	PUNCT
ajst-5394	66	11	97	97	NUM
ajst-5394	66	12	-	-	SYM
ajst-5394	66	13	123	123	NUM
ajst-5394	66	14	.	.	PUNCT
ajst-5394	67	1	[	[	X
ajst-5394	67	2	4	4	X
ajst-5394	67	3	]	]	X
ajst-5394	67	4	rosipal	rosipal	NOUN
ajst-5394	67	5	r	r	PROPN
ajst-5394	67	6	,	,	PUNCT
ajst-5394	67	7	girolami	girolami	PROPN
ajst-5394	67	8	m	m	PROPN
ajst-5394	67	9	,	,	PUNCT
ajst-5394	67	10	trejo	trejo	PROPN
ajst-5394	67	11	l	l	PROPN
ajst-5394	67	12	j	j	PROPN
ajst-5394	67	13	,	,	PUNCT
ajst-5394	67	14	et	et	PROPN
ajst-5394	67	15	al	al	PROPN
ajst-5394	67	16	.	.	PROPN
ajst-5394	67	17	kernel	kernel	PROPN
ajst-5394	67	18	pca	pca	PROPN
ajst-5394	67	19	for	for	ADP
ajst-5394	67	20	feature	feature	NOUN
ajst-5394	67	21	extraction	extraction	NOUN
ajst-5394	67	22	and	and	CCONJ
ajst-5394	67	23	de	de	NOUN
ajst-5394	67	24	-	-	NOUN
ajst-5394	67	25	noising	noising	NOUN
ajst-5394	67	26	in	in	ADP
ajst-5394	67	27	nonlinear	nonlinear	ADJ
ajst-5394	67	28	regression[j	regression[j	PROPN
ajst-5394	67	29	]	]	PUNCT
ajst-5394	67	30	.	.	PUNCT
ajst-5394	68	1	neural	neural	PROPN
ajst-5394	68	2	computing	computing	PROPN
ajst-5394	68	3	&	&	CCONJ
ajst-5394	68	4	applications	application	NOUN
ajst-5394	68	5	,	,	PUNCT
ajst-5394	68	6	2001	2001	NUM
ajst-5394	68	7	,	,	PUNCT
ajst-5394	68	8	10	10	NUM
ajst-5394	68	9	:	:	SYM
ajst-5394	68	10	231	231	NUM
ajst-5394	68	11	-	-	SYM
ajst-5394	68	12	243	243	NUM
ajst-5394	68	13	.	.	PUNCT
ajst-5394	69	1	[	[	X
ajst-5394	69	2	5	5	NUM
ajst-5394	69	3	]	]	X
ajst-5394	69	4	scholkopf	scholkopf	NOUN
ajst-5394	69	5	b	b	PROPN
ajst-5394	69	6	,	,	PUNCT
ajst-5394	69	7	sung	sing	VERB
ajst-5394	69	8	k	k	PROPN
ajst-5394	69	9	k	k	PROPN
ajst-5394	69	10	,	,	PUNCT
ajst-5394	69	11	burges	burge	NOUN
ajst-5394	69	12	c	c	PROPN
ajst-5394	69	13	j	j	PROPN
ajst-5394	69	14	c	c	X
ajst-5394	69	15	,	,	PUNCT
ajst-5394	69	16	et	et	PROPN
ajst-5394	69	17	al	al	PROPN
ajst-5394	69	18	.	.	PROPN
ajst-5394	69	19	comparing	compare	VERB
ajst-5394	69	20	support	support	NOUN
ajst-5394	69	21	vector	vector	NOUN
ajst-5394	69	22	machines	machine	NOUN
ajst-5394	69	23	with	with	ADP
ajst-5394	69	24	gaussian	gaussian	ADJ
ajst-5394	69	25	kernels	kernel	NOUN
ajst-5394	69	26	to	to	ADP
ajst-5394	69	27	radial	radial	ADJ
ajst-5394	69	28	basis	basis	NOUN
ajst-5394	69	29	function	function	NOUN
ajst-5394	69	30	classifiers[j	classifiers[j	PROPN
ajst-5394	69	31	]	]	PUNCT
ajst-5394	69	32	.	.	PUNCT
ajst-5394	70	1	ieee	ieee	NOUN
ajst-5394	70	2	transactions	transaction	NOUN
ajst-5394	70	3	on	on	ADP
ajst-5394	70	4	signal	signal	ADJ
ajst-5394	70	5	processing	processing	NOUN
ajst-5394	70	6	,	,	PUNCT
ajst-5394	70	7	1997	1997	NUM
ajst-5394	70	8	,	,	PUNCT
ajst-5394	70	9	45(11	45(11	NUM
ajst-5394	70	10	):	):	PUNCT
ajst-5394	70	11	2758	2758	NUM
ajst-5394	70	12	-	-	SYM
ajst-5394	70	13	2765	2765	NUM
ajst-5394	70	14	.	.	PUNCT
ajst-5394	71	1	[	[	X
ajst-5394	71	2	6	6	NUM
ajst-5394	71	3	]	]	PUNCT
ajst-5394	71	4	worthey	worthey	VERB
ajst-5394	71	5	g	g	PROPN
ajst-5394	71	6	,	,	PUNCT
ajst-5394	71	7	faber	faber	PROPN
ajst-5394	71	8	s	s	PART
ajst-5394	71	9	m	m	PROPN
ajst-5394	71	10	,	,	PUNCT
ajst-5394	71	11	gonzalez	gonzalez	PROPN
ajst-5394	71	12	j	j	PROPN
ajst-5394	71	13	j	j	PROPN
ajst-5394	71	14	,	,	PUNCT
ajst-5394	71	15	et	et	PROPN
ajst-5394	71	16	al	al	PROPN
ajst-5394	71	17	.	.	PROPN
ajst-5394	71	18	old	old	ADJ
ajst-5394	71	19	stellar	stellar	ADJ
ajst-5394	71	20	populations	population	NOUN
ajst-5394	71	21	.	.	PUNCT
ajst-5394	72	1	5	5	NUM
ajst-5394	72	2	:	:	PUNCT
ajst-5394	72	3	absorption	absorption	NOUN
ajst-5394	72	4	feature	feature	NOUN
ajst-5394	72	5	indices	indice	VERB
ajst-5394	72	6	for	for	ADP
ajst-5394	72	7	the	the	DET
ajst-5394	72	8	complete	complete	ADJ
ajst-5394	72	9	lick	lick	NOUN
ajst-5394	72	10	/	/	SYM
ajst-5394	72	11	ids	ids	NOUN
ajst-5394	72	12	sample	sample	NOUN
ajst-5394	72	13	of	of	ADP
ajst-5394	72	14	stars[j	stars[j	NOUN
ajst-5394	72	15	]	]	PUNCT
ajst-5394	72	16	.	.	PUNCT
ajst-5394	73	1	the	the	DET
ajst-5394	73	2	astrophysical	astrophysical	ADJ
ajst-5394	73	3	journal	journal	PROPN
ajst-5394	73	4	supplement	supplement	NOUN
ajst-5394	73	5	series	series	PROPN
ajst-5394	73	6	,	,	PUNCT
ajst-5394	73	7	1994	1994	NUM
ajst-5394	73	8	,	,	PUNCT
ajst-5394	73	9	94	94	NUM
ajst-5394	73	10	:	:	PUNCT
ajst-5394	73	11	687	687	NUM
ajst-5394	73	12	-	-	SYM
ajst-5394	73	13	722	722	NUM
ajst-5394	73	14	.	.	PUNCT
ajst-5394	74	1	[	[	X
ajst-5394	74	2	7	7	X
ajst-5394	74	3	]	]	X
ajst-5394	74	4	mcdonald	mcdonald	PROPN
ajst-5394	74	5	g	g	PROPN
ajst-5394	74	6	c.	c.	PROPN
ajst-5394	74	7	ridge	ridge	PROPN
ajst-5394	74	8	regression[j	regression[j	PROPN
ajst-5394	74	9	]	]	PUNCT
ajst-5394	74	10	.	.	PUNCT
ajst-5394	75	1	wiley	wiley	PROPN
ajst-5394	75	2	interdisciplinary	interdisciplinary	ADJ
ajst-5394	75	3	reviews	review	NOUN
ajst-5394	75	4	:	:	PUNCT
ajst-5394	75	5	computational	computational	ADJ
ajst-5394	75	6	statistics	statistic	NOUN
ajst-5394	75	7	,	,	PUNCT
ajst-5394	75	8	2009	2009	NUM
ajst-5394	75	9	,	,	PUNCT
ajst-5394	75	10	1(1	1(1	NUM
ajst-5394	75	11	):	):	PUNCT
ajst-5394	75	12	93	93	NUM
ajst-5394	75	13	-	-	SYM
ajst-5394	75	14	100	100	NUM
ajst-5394	75	15	.	.	PUNCT
ajst-5394	76	1	[	[	X
ajst-5394	76	2	8	8	NUM
ajst-5394	76	3	]	]	X
ajst-5394	76	4	roweis	roweis	PROPN
ajst-5394	76	5	s	s	PROPN
ajst-5394	76	6	t	t	PROPN
ajst-5394	76	7	,	,	PUNCT
ajst-5394	76	8	saul	saul	PROPN
ajst-5394	76	9	l	l	PROPN
ajst-5394	76	10	k.	k.	PROPN
ajst-5394	76	11	nonlinear	nonlinear	ADJ
ajst-5394	76	12	dimensionality	dimensionality	NOUN
ajst-5394	76	13	reduction	reduction	NOUN
ajst-5394	76	14	by	by	ADP
ajst-5394	76	15	locally	locally	ADV
ajst-5394	76	16	linear	linear	PROPN
ajst-5394	76	17	embedding[j	embedding[j	PROPN
ajst-5394	76	18	]	]	PUNCT
ajst-5394	76	19	.	.	PUNCT
ajst-5394	77	1	science	science	NOUN
ajst-5394	77	2	,	,	PUNCT
ajst-5394	77	3	2000	2000	NUM
ajst-5394	77	4	,	,	PUNCT
ajst-5394	77	5	290(5500	290(5500	NUM
ajst-5394	77	6	):	):	PUNCT
ajst-5394	77	7	23232326	23232326	NUM
ajst-5394	77	8	.	.	PUNCT
ajst-5394	78	1	[	[	X
ajst-5394	78	2	9	9	NUM
ajst-5394	78	3	]	]	SYM
ajst-5394	78	4	madgwick	madgwick	NOUN
ajst-5394	78	5	d	d	PROPN
ajst-5394	78	6	s	s	PROPN
ajst-5394	78	7	,	,	PUNCT
ajst-5394	78	8	coil	coil	NOUN
ajst-5394	78	9	a	a	DET
ajst-5394	78	10	l	l	NOUN
ajst-5394	78	11	,	,	PUNCT
ajst-5394	78	12	conselice	conselice	PROPN
ajst-5394	78	13	c	c	PROPN
ajst-5394	78	14	j	j	PROPN
ajst-5394	78	15	,	,	PUNCT
ajst-5394	78	16	et	et	PROPN
ajst-5394	78	17	al	al	PROPN
ajst-5394	78	18	.	.	PUNCT
ajst-5394	79	1	the	the	DET
ajst-5394	79	2	deep2	deep2	PROPN
ajst-5394	79	3	galaxy	galaxy	PROPN
ajst-5394	79	4	redshift	redshift	NOUN
ajst-5394	79	5	survey	survey	NOUN
ajst-5394	79	6	:	:	PUNCT
ajst-5394	79	7	spectral	spectral	ADJ
ajst-5394	79	8	classification	classification	NOUN
ajst-5394	79	9	of	of	ADP
ajst-5394	79	10	galaxies	galaxy	NOUN
ajst-5394	79	11	at	at	ADP
ajst-5394	79	12	z∼	z∼	PROPN
ajst-5394	79	13	1[j	1[j	NUM
ajst-5394	79	14	]	]	PUNCT
ajst-5394	79	15	.	.	PUNCT
ajst-5394	80	1	the	the	DET
ajst-5394	80	2	astrophysical	astrophysical	ADJ
ajst-5394	80	3	journal	journal	NOUN
ajst-5394	80	4	,	,	PUNCT
ajst-5394	80	5	2003	2003	NUM
ajst-5394	80	6	,	,	PUNCT
ajst-5394	80	7	599(2	599(2	NUM
ajst-5394	80	8	):	):	PUNCT
ajst-5394	80	9	997	997	NUM
ajst-5394	80	10	.	.	PUNCT
ajst-5394	81	1	[	[	X
ajst-5394	81	2	10	10	NUM
ajst-5394	81	3	]	]	X
ajst-5394	81	4	singh	singh	PROPN
ajst-5394	81	5	h	h	NOUN
ajst-5394	81	6	p	p	NOUN
ajst-5394	81	7	,	,	PUNCT
ajst-5394	81	8	gupta	gupta	PROPN
ajst-5394	81	9	r	r	NOUN
ajst-5394	81	10	,	,	PUNCT
ajst-5394	81	11	gulati	gulati	PROPN
ajst-5394	81	12	r	r	PROPN
ajst-5394	81	13	k	k	PROPN
ajst-5394	81	14	.	.	PUNCT
ajst-5394	82	1	stellar	stellar	ADJ
ajst-5394	82	2	spectral	spectral	ADJ
ajst-5394	82	3	classification	classification	NOUN
ajst-5394	82	4	based	base	VERB
ajst-5394	82	5	on	on	ADP
ajst-5394	82	6	principle	principle	ADJ
ajst-5394	82	7	component	component	NOUN
ajst-5394	82	8	analysis	analysis	NOUN
ajst-5394	82	9	and	and	CCONJ
ajst-5394	82	10	artificial	artificial	ADJ
ajst-5394	82	11	neural	neural	NOUN
ajst-5394	82	12	networks.[j	networks.[j	NOUN
ajst-5394	82	13	]	]	PUNCT
ajst-5394	82	14	.	.	PUNCT
ajst-5394	83	1	monthly	monthly	ADJ
ajst-5394	83	2	notices	notice	NOUN
ajst-5394	83	3	of	of	ADP
ajst-5394	83	4	the	the	DET
ajst-5394	83	5	royal	royal	ADJ
ajst-5394	83	6	astronomical	astronomical	ADJ
ajst-5394	83	7	society	society	NOUN
ajst-5394	83	8	,	,	PUNCT
ajst-5394	83	9	1996	1996	NUM
ajst-5394	83	10	,	,	PUNCT
ajst-5394	83	11	138(2):309	138(2):309	NUM
ajst-5394	83	12	.	.	PUNCT