id	sid	tid	token	lemma	pos
cbi-52	1	1	v1i2	v1i2	X
cbi-52	1	2	volume	volume	NOUN
cbi-52	1	3	1	1	NUM
cbi-52	1	4	,	,	PUNCT
cbi-52	1	5	issue	issue	NOUN
cbi-52	1	6	2	2	NUM
cbi-52	1	7	generalized	generalized	ADJ
cbi-52	1	8	information	information	NOUN
cbi-52	1	9	a	a	DET
cbi-52	1	10	straightforward	straightforward	ADJ
cbi-52	1	11	method	method	NOUN
cbi-52	1	12	for	for	ADP
cbi-52	1	13	judging	judge	VERB
cbi-52	1	14	machine	machine	NOUN
cbi-52	1	15	learning	learning	NOUN
cbi-52	1	16	models	model	NOUN
cbi-52	1	17	jonathan	jonathan	PROPN
cbi-52	1	18	bartlett	bartlett	PROPN
cbi-52	1	19	and	and	CCONJ
cbi-52	1	20	eric	eric	PROPN
cbi-52	1	21	holloway	holloway	PROPN
cbi-52	1	22	doi	doi	PROPN
cbi-52	1	23	:	:	PUNCT
cbi-52	1	24	10.33014	10.33014	NUM
cbi-52	1	25	/	/	SYM
cbi-52	1	26	issn.2640	issn.2640	VERB
cbi-52	1	27	-	-	PUNCT
cbi-52	1	28	5652.1.2.bartlett.1	5652.1.2.bartlett.1	NUM
cbi-52	1	29	abstract	abstract	ADJ
cbi-52	1	30	generalized	generalize	VERB
cbi-52	1	31	information	information	NOUN
cbi-52	1	32	(	(	PUNCT
cbi-52	1	33	gi	gi	INTJ
cbi-52	1	34	)	)	PUNCT
cbi-52	1	35	is	be	AUX
cbi-52	1	36	a	a	DET
cbi-52	1	37	measurement	measurement	NOUN
cbi-52	1	38	of	of	ADP
cbi-52	1	39	the	the	DET
cbi-52	1	40	degree	degree	NOUN
cbi-52	1	41	to	to	PART
cbi-52	1	42	which	which	PRON
cbi-52	1	43	a	a	DET
cbi-52	1	44	program	program	NOUN
cbi-52	1	45	can	can	AUX
cbi-52	1	46	be	be	AUX
cbi-52	1	47	said	say	VERB
cbi-52	1	48	to	to	PART
cbi-52	1	49	generalize	generalize	VERB
cbi-52	1	50	a	a	DET
cbi-52	1	51	dataset	dataset	NOUN
cbi-52	1	52	.	.	PUNCT
cbi-52	2	1	it	it	PRON
cbi-52	2	2	is	be	AUX
cbi-52	2	3	calculated	calculate	VERB
cbi-52	2	4	by	by	ADP
cbi-52	2	5	creating	create	VERB
cbi-52	2	6	a	a	DET
cbi-52	2	7	program	program	NOUN
cbi-52	2	8	to	to	PART
cbi-52	2	9	model	model	VERB
cbi-52	2	10	the	the	DET
cbi-52	2	11	data	datum	NOUN
cbi-52	2	12	set	set	VERB
cbi-52	2	13	,	,	PUNCT
cbi-52	2	14	measuring	measure	VERB
cbi-52	2	15	the	the	DET
cbi-52	2	16	active	active	ADJ
cbi-52	2	17	information	information	NOUN
cbi-52	2	18	in	in	ADP
cbi-52	2	19	the	the	DET
cbi-52	2	20	model	model	NOUN
cbi-52	2	21	,	,	PUNCT
cbi-52	2	22	and	and	CCONJ
cbi-52	2	23	subtracting	subtract	VERB
cbi-52	2	24	out	out	ADP
cbi-52	2	25	the	the	DET
cbi-52	2	26	size	size	NOUN
cbi-52	2	27	of	of	ADP
cbi-52	2	28	the	the	DET
cbi-52	2	29	model	model	NOUN
cbi-52	2	30	.	.	PUNCT
cbi-52	3	1	active	active	ADJ
cbi-52	3	2	information	information	NOUN
cbi-52	3	3	allows	allow	VERB
cbi-52	3	4	gi	gi	NOUN
cbi-52	3	5	to	to	PART
cbi-52	3	6	be	be	AUX
cbi-52	3	7	usable	usable	ADJ
cbi-52	3	8	with	with	ADP
cbi-52	3	9	both	both	CCONJ
cbi-52	3	10	exact	exact	ADJ
cbi-52	3	11	and	and	CCONJ
cbi-52	3	12	inexact	inexact	ADJ
cbi-52	3	13	models	model	NOUN
cbi-52	3	14	.	.	PUNCT
cbi-52	4	1	1	1	NUM
cbi-52	4	2	introduction	introduction	NOUN
cbi-52	4	3	in	in	ADP
cbi-52	4	4	machine	machine	NOUN
cbi-52	4	5	learning	learning	NOUN
cbi-52	4	6	and	and	CCONJ
cbi-52	4	7	other	other	ADJ
cbi-52	4	8	forms	form	NOUN
cbi-52	4	9	of	of	ADP
cbi-52	4	10	statistical	statistical	ADJ
cbi-52	4	11	inference	inference	NOUN
cbi-52	4	12	,	,	PUNCT
cbi-52	4	13	the	the	DET
cbi-52	4	14	goal	goal	NOUN
cbi-52	4	15	is	be	AUX
cbi-52	4	16	to	to	PART
cbi-52	4	17	create	create	VERB
cbi-52	4	18	a	a	DET
cbi-52	4	19	model	model	NOUN
cbi-52	4	20	that	that	PRON
cbi-52	4	21	matches	match	VERB
cbi-52	4	22	the	the	DET
cbi-52	4	23	data	datum	NOUN
cbi-52	4	24	.	.	PUNCT
cbi-52	5	1	a	a	DET
cbi-52	5	2	model	model	NOUN
cbi-52	5	3	is	be	AUX
cbi-52	5	4	essentially	essentially	ADV
cbi-52	5	5	a	a	DET
cbi-52	5	6	function	function	NOUN
cbi-52	5	7	which	which	PRON
cbi-52	5	8	takes	take	VERB
cbi-52	5	9	a	a	DET
cbi-52	5	10	certain	certain	ADJ
cbi-52	5	11	number	number	NOUN
cbi-52	5	12	of	of	ADP
cbi-52	5	13	inputs	input	NOUN
cbi-52	5	14	and	and	CCONJ
cbi-52	5	15	generates	generate	VERB
cbi-52	5	16	an	an	DET
cbi-52	5	17	output	output	NOUN
cbi-52	5	18	value	value	NOUN
cbi-52	5	19	.	.	PUNCT
cbi-52	6	1	the	the	DET
cbi-52	6	2	input	input	NOUN
cbi-52	6	3	is	be	AUX
cbi-52	6	4	whatever	whatever	DET
cbi-52	6	5	parameters	parameter	NOUN
cbi-52	6	6	the	the	DET
cbi-52	6	7	statistical	statistical	ADJ
cbi-52	6	8	model	model	NOUN
cbi-52	6	9	is	be	AUX
cbi-52	6	10	allowing	allow	VERB
cbi-52	6	11	,	,	PUNCT
cbi-52	6	12	and	and	CCONJ
cbi-52	6	13	the	the	DET
cbi-52	6	14	output	output	NOUN
cbi-52	6	15	is	be	AUX
cbi-52	6	16	the	the	DET
cbi-52	6	17	prediction	prediction	NOUN
cbi-52	6	18	,	,	PUNCT
cbi-52	6	19	classification	classification	NOUN
cbi-52	6	20	,	,	PUNCT
cbi-52	6	21	or	or	CCONJ
cbi-52	6	22	whatever	whatever	PRON
cbi-52	6	23	the	the	DET
cbi-52	6	24	model	model	NOUN
cbi-52	6	25	is	be	AUX
cbi-52	6	26	meant	mean	VERB
cbi-52	6	27	to	to	PART
cbi-52	6	28	identify	identify	VERB
cbi-52	6	29	.	.	PUNCT
cbi-52	7	1	as	as	ADP
cbi-52	7	2	a	a	DET
cbi-52	7	3	simplified	simplified	ADJ
cbi-52	7	4	example	example	NOUN
cbi-52	7	5	,	,	PUNCT
cbi-52	7	6	let	let	VERB
cbi-52	7	7	’s	’s	PRON
cbi-52	7	8	say	say	VERB
cbi-52	7	9	that	that	SCONJ
cbi-52	7	10	you	you	PRON
cbi-52	7	11	are	be	AUX
cbi-52	7	12	a	a	DET
cbi-52	7	13	realtor	realtor	NOUN
cbi-52	7	14	and	and	CCONJ
cbi-52	7	15	you	you	PRON
cbi-52	7	16	want	want	VERB
cbi-52	7	17	to	to	PART
cbi-52	7	18	know	know	VERB
cbi-52	7	19	the	the	DET
cbi-52	7	20	impact	impact	NOUN
cbi-52	7	21	of	of	ADP
cbi-52	7	22	square	square	ADJ
cbi-52	7	23	footage	footage	NOUN
cbi-52	7	24	and	and	CCONJ
cbi-52	7	25	the	the	DET
cbi-52	7	26	year	year	NOUN
cbi-52	7	27	a	a	DET
cbi-52	7	28	home	home	NOUN
cbi-52	7	29	was	be	AUX
cbi-52	7	30	built	build	VERB
cbi-52	7	31	on	on	ADP
cbi-52	7	32	its	its	PRON
cbi-52	7	33	selling	selling	NOUN
cbi-52	7	34	price	price	NOUN
cbi-52	7	35	.	.	PUNCT
cbi-52	8	1	given	give	VERB
cbi-52	8	2	a	a	DET
cbi-52	8	3	large	large	ADJ
cbi-52	8	4	amount	amount	NOUN
cbi-52	8	5	of	of	ADP
cbi-52	8	6	data	datum	NOUN
cbi-52	8	7	,	,	PUNCT
cbi-52	8	8	a	a	DET
cbi-52	8	9	machine	machine	NOUN
cbi-52	8	10	learning	learn	VERB
cbi-52	8	11	package	package	NOUN
cbi-52	8	12	might	might	AUX
cbi-52	8	13	find	find	VERB
cbi-52	8	14	a	a	DET
cbi-52	8	15	way	way	NOUN
cbi-52	8	16	to	to	PART
cbi-52	8	17	model	model	VERB
cbi-52	8	18	that	that	SCONJ
cbi-52	8	19	data	data	NOUN
cbi-52	8	20	,	,	PUNCT
cbi-52	8	21	so	so	SCONJ
cbi-52	8	22	that	that	SCONJ
cbi-52	8	23	,	,	PUNCT
cbi-52	8	24	if	if	SCONJ
cbi-52	8	25	you	you	PRON
cbi-52	8	26	give	give	VERB
cbi-52	8	27	it	it	PRON
cbi-52	8	28	an	an	DET
cbi-52	8	29	input	input	NOUN
cbi-52	8	30	which	which	PRON
cbi-52	8	31	is	be	AUX
cbi-52	8	32	not	not	PART
cbi-52	8	33	in	in	ADP
cbi-52	8	34	the	the	DET
cbi-52	8	35	set	set	NOUN
cbi-52	8	36	,	,	PUNCT
cbi-52	8	37	the	the	DET
cbi-52	8	38	system	system	NOUN
cbi-52	8	39	will	will	AUX
cbi-52	8	40	spit	spit	VERB
cbi-52	8	41	out	out	ADP
cbi-52	8	42	for	for	ADP
cbi-52	8	43	you	you	PRON
cbi-52	8	44	what	what	PRON
cbi-52	8	45	it	it	PRON
cbi-52	8	46	thinks	think	VERB
cbi-52	8	47	the	the	DET
cbi-52	8	48	selling	selling	NOUN
cbi-52	8	49	price	price	NOUN
cbi-52	8	50	will	will	AUX
cbi-52	8	51	be	be	AUX
cbi-52	8	52	.	.	PUNCT
cbi-52	9	1	2	2	NUM
cbi-52	9	2	the	the	DET
cbi-52	9	3	problem	problem	NOUN
cbi-52	9	4	of	of	ADP
cbi-52	9	5	overfitting	overfitte	VERB
cbi-52	9	6	exact	exact	ADJ
cbi-52	9	7	fits	fit	NOUN
cbi-52	9	8	of	of	ADP
cbi-52	9	9	models	model	NOUN
cbi-52	9	10	to	to	ADP
cbi-52	9	11	data	datum	NOUN
cbi-52	9	12	are	be	AUX
cbi-52	9	13	not	not	PART
cbi-52	9	14	necessarily	necessarily	ADV
cbi-52	9	15	preferable	preferable	ADJ
cbi-52	9	16	in	in	ADP
cbi-52	9	17	machine	machine	NOUN
cbi-52	9	18	learning	learning	NOUN
cbi-52	9	19	.	.	PUNCT
cbi-52	10	1	such	such	ADJ
cbi-52	10	2	models	model	NOUN
cbi-52	10	3	are	be	AUX
cbi-52	10	4	often	often	ADV
cbi-52	10	5	said	say	VERB
cbi-52	10	6	to	to	PART
cbi-52	10	7	be	be	AUX
cbi-52	10	8	overfit	overfit	NOUN
cbi-52	10	9	.	.	PUNCT
cbi-52	11	1	overfitting	overfitte	VERB
cbi-52	11	2	occurs	occur	VERB
cbi-52	11	3	because	because	SCONJ
cbi-52	11	4	not	not	PART
cbi-52	11	5	all	all	DET
cbi-52	11	6	data	datum	NOUN
cbi-52	11	7	is	be	AUX
cbi-52	11	8	actually	actually	ADV
cbi-52	11	9	signal	signal	ADJ
cbi-52	11	10	.	.	PUNCT
cbi-52	12	1	nearly	nearly	ADV
cbi-52	12	2	any	any	DET
cbi-52	12	3	dataset	dataset	NOUN
cbi-52	12	4	will	will	AUX
cbi-52	12	5	contain	contain	VERB
cbi-52	12	6	some	some	DET
cbi-52	12	7	amount	amount	NOUN
cbi-52	12	8	of	of	ADP
cbi-52	12	9	noise	noise	NOUN
cbi-52	12	10	.	.	PUNCT
cbi-52	13	1	if	if	SCONJ
cbi-52	13	2	your	your	PRON
cbi-52	13	3	model	model	NOUN
cbi-52	13	4	makes	make	VERB
cbi-52	13	5	an	an	DET
cbi-52	13	6	exact	exact	ADJ
cbi-52	13	7	fit	fit	ADJ
cbi-52	13	8	to	to	ADP
cbi-52	13	9	the	the	DET
cbi-52	13	10	data	datum	NOUN
cbi-52	13	11	,	,	PUNCT
cbi-52	13	12	that	that	PRON
cbi-52	13	13	means	mean	VERB
cbi-52	13	14	that	that	SCONJ
cbi-52	13	15	much	much	ADJ
cbi-52	13	16	of	of	ADP
cbi-52	13	17	your	your	PRON
cbi-52	13	18	model	model	NOUN
cbi-52	13	19	is	be	AUX
cbi-52	13	20	actually	actually	ADV
cbi-52	13	21	modeling	model	VERB
cbi-52	13	22	the	the	DET
cbi-52	13	23	noise	noise	NOUN
cbi-52	13	24	.	.	PUNCT
cbi-52	14	1	modeling	model	VERB
cbi-52	14	2	the	the	DET
cbi-52	14	3	noise	noise	NOUN
cbi-52	14	4	actually	actually	ADV
cbi-52	14	5	causes	cause	VERB
cbi-52	14	6	poor	poor	ADJ
cbi-52	14	7	performance	performance	NOUN
cbi-52	14	8	as	as	SCONJ
cbi-52	14	9	the	the	DET
cbi-52	14	10	model	model	NOUN
cbi-52	14	11	is	be	AUX
cbi-52	14	12	extended	extend	VERB
cbi-52	14	13	out	out	ADP
cbi-52	14	14	to	to	ADP
cbi-52	14	15	new	new	ADJ
cbi-52	14	16	data	datum	NOUN
cbi-52	14	17	points	point	NOUN
cbi-52	14	18	.	.	PUNCT
cbi-52	15	1	for	for	ADP
cbi-52	15	2	the	the	DET
cbi-52	15	3	purposes	purpose	NOUN
cbi-52	15	4	of	of	ADP
cbi-52	15	5	this	this	DET
cbi-52	15	6	paper	paper	NOUN
cbi-52	15	7	,	,	PUNCT
cbi-52	15	8	noise	noise	NOUN
cbi-52	15	9	can	can	AUX
cbi-52	15	10	either	either	CCONJ
cbi-52	15	11	be	be	AUX
cbi-52	15	12	statistically	statistically	ADV
cbi-52	15	13	random	random	ADJ
cbi-52	15	14	events	event	NOUN
cbi-52	15	15	(	(	PUNCT
cbi-52	15	16	variations	variation	NOUN
cbi-52	15	17	around	around	ADP
cbi-52	15	18	a	a	DET
cbi-52	15	19	mean	mean	NOUN
cbi-52	15	20	)	)	PUNCT
cbi-52	15	21	or	or	CCONJ
cbi-52	15	22	even	even	ADV
cbi-52	15	23	non	non	ADJ
cbi-52	15	24	-	-	ADJ
cbi-52	15	25	noise	noise	ADJ
cbi-52	15	26	features	feature	NOUN
cbi-52	15	27	,	,	PUNCT
cbi-52	15	28	but	but	CCONJ
cbi-52	15	29	whose	whose	DET
cbi-52	15	30	predictive	predictive	ADJ
cbi-52	15	31	inputs	input	NOUN
cbi-52	15	32	are	be	AUX
cbi-52	15	33	not	not	PART
cbi-52	15	34	included	include	VERB
cbi-52	15	35	in	in	ADP
cbi-52	15	36	the	the	DET
cbi-52	15	37	set	set	NOUN
cbi-52	15	38	of	of	ADP
cbi-52	15	39	inputs	input	NOUN
cbi-52	15	40	being	be	AUX
cbi-52	15	41	modeled	model	VERB
cbi-52	15	42	.	.	PUNCT
cbi-52	16	1	in	in	ADP
cbi-52	16	2	the	the	DET
cbi-52	16	3	realtor	realtor	NOUN
cbi-52	16	4	example	example	NOUN
cbi-52	16	5	above	above	ADV
cbi-52	16	6	,	,	PUNCT
cbi-52	16	7	let	let	VERB
cbi-52	16	8	’s	’s	PRON
cbi-52	16	9	say	say	VERB
cbi-52	16	10	that	that	SCONJ
cbi-52	16	11	most	most	ADJ
cbi-52	16	12	homes	home	NOUN
cbi-52	16	13	in	in	ADP
cbi-52	16	14	the	the	DET
cbi-52	16	15	1,000	1,000	NUM
cbi-52	16	16	-	-	SYM
cbi-52	16	17	1,200	1,200	NUM
cbi-52	16	18	square	square	ADJ
cbi-52	16	19	feet	foot	NOUN
cbi-52	16	20	area	area	NOUN
cbi-52	16	21	that	that	PRON
cbi-52	16	22	were	be	AUX
cbi-52	16	23	built	build	VERB
cbi-52	16	24	in	in	ADP
cbi-52	16	25	1975	1975	NUM
cbi-52	16	26	were	be	AUX
cbi-52	16	27	selling	sell	VERB
cbi-52	16	28	for	for	ADP
cbi-52	16	29	$	$	SYM
cbi-52	16	30	150,000	150,000	NUM
cbi-52	16	31	,	,	PUNCT
cbi-52	16	32	but	but	CCONJ
cbi-52	16	33	one	one	NUM
cbi-52	16	34	house	house	NOUN
cbi-52	16	35	,	,	PUNCT
cbi-52	16	36	which	which	PRON
cbi-52	16	37	was	be	AUX
cbi-52	16	38	1,175	1,175	NUM
cbi-52	16	39	square	square	ADJ
cbi-52	16	40	feet	foot	NOUN
cbi-52	16	41	,	,	PUNCT
cbi-52	16	42	sold	sell	VERB
cbi-52	16	43	for	for	ADP
cbi-52	16	44	$	$	SYM
cbi-52	16	45	75,000	75,000	NUM
cbi-52	16	46	,	,	PUNCT
cbi-52	16	47	because	because	SCONJ
cbi-52	16	48	the	the	DET
cbi-52	16	49	homeowner	homeowner	NOUN
cbi-52	16	50	desperately	desperately	ADV
cbi-52	16	51	needed	need	VERB
cbi-52	16	52	to	to	PART
cbi-52	16	53	sell	sell	VERB
cbi-52	16	54	it	it	PRON
cbi-52	16	55	quickly	quickly	ADV
cbi-52	16	56	.	.	PUNCT
cbi-52	17	1	if	if	SCONJ
cbi-52	17	2	the	the	DET
cbi-52	17	3	model	model	NOUN
cbi-52	17	4	attempted	attempt	VERB
cbi-52	17	5	to	to	PART
cbi-52	17	6	have	have	VERB
cbi-52	17	7	an	an	DET
cbi-52	17	8	exact	exact	ADJ
cbi-52	17	9	model	model	NOUN
cbi-52	17	10	,	,	PUNCT
cbi-52	17	11	that	that	DET
cbi-52	17	12	particular	particular	ADJ
cbi-52	17	13	data	data	NOUN
cbi-52	17	14	point	point	NOUN
cbi-52	17	15	would	would	AUX
cbi-52	17	16	cause	cause	VERB
cbi-52	17	17	bad	bad	ADJ
cbi-52	17	18	predictions	prediction	NOUN
cbi-52	17	19	for	for	ADP
cbi-52	17	20	square	square	ADJ
cbi-52	17	21	footages	footage	NOUN
cbi-52	17	22	for	for	ADP
cbi-52	17	23	that	that	DET
cbi-52	17	24	year	year	NOUN
cbi-52	17	25	(	(	PUNCT
cbi-52	17	26	and	and	CCONJ
cbi-52	17	27	possibly	possibly	ADV
cbi-52	17	28	surrounding	surround	VERB
cbi-52	17	29	years	year	NOUN
cbi-52	17	30	)	)	PUNCT
cbi-52	17	31	.	.	PUNCT
cbi-52	18	1	thus	thus	ADV
cbi-52	18	2	,	,	PUNCT
cbi-52	18	3	overfitting	overfitte	VERB
cbi-52	18	4	a	a	DET
cbi-52	18	5	model	model	NOUN
cbi-52	18	6	means	mean	VERB
cbi-52	18	7	that	that	SCONJ
cbi-52	18	8	both	both	DET
cbi-52	18	9	data	datum	NOUN
cbi-52	18	10	and	and	CCONJ
cbi-52	18	11	noise	noise	NOUN
cbi-52	18	12	are	be	AUX
cbi-52	18	13	included	include	VERB
cbi-52	18	14	in	in	ADP
cbi-52	18	15	the	the	DET
cbi-52	18	16	model	model	NOUN
cbi-52	18	17	.	.	PUNCT
cbi-52	19	1	the	the	DET
cbi-52	19	2	goal	goal	NOUN
cbi-52	19	3	,	,	PUNCT
cbi-52	19	4	therefore	therefore	ADV
cbi-52	19	5	,	,	PUNCT
cbi-52	19	6	is	be	AUX
cbi-52	19	7	to	to	PART
cbi-52	19	8	find	find	VERB
cbi-52	19	9	a	a	DET
cbi-52	19	10	way	way	NOUN
cbi-52	19	11	to	to	PART
cbi-52	19	12	tell	tell	VERB
cbi-52	19	13	if	if	SCONJ
cbi-52	19	14	a	a	DET
cbi-52	19	15	given	give	VERB
cbi-52	19	16	model	model	NOUN
cbi-52	19	17	matches	match	VERB
cbi-52	19	18	the	the	DET
cbi-52	19	19	data	datum	NOUN
cbi-52	19	20	in	in	ADP
cbi-52	19	21	the	the	DET
cbi-52	19	22	correct	correct	ADJ
cbi-52	19	23	way	way	NOUN
cbi-52	19	24	.	.	PUNCT
cbi-52	20	1	to	to	PART
cbi-52	20	2	do	do	VERB
cbi-52	20	3	this	this	PRON
cbi-52	20	4	,	,	PUNCT
cbi-52	20	5	we	we	PRON
cbi-52	20	6	will	will	AUX
cbi-52	20	7	explore	explore	VERB
cbi-52	20	8	the	the	DET
cbi-52	20	9	question	question	NOUN
cbi-52	20	10	of	of	ADP
cbi-52	20	11	models	model	NOUN
cbi-52	20	12	from	from	ADP
cbi-52	20	13	a	a	DET
cbi-52	20	14	philosophical	philosophical	ADJ
cbi-52	20	15	standpoint	standpoint	NOUN
cbi-52	20	16	,	,	PUNCT
cbi-52	20	17	and	and	CCONJ
cbi-52	20	18	use	use	VERB
cbi-52	20	19	those	those	DET
cbi-52	20	20	results	result	NOUN
cbi-52	20	21	to	to	PART
cbi-52	20	22	come	come	VERB
cbi-52	20	23	up	up	ADP
cbi-52	20	24	with	with	ADP
cbi-52	20	25	a	a	DET
cbi-52	20	26	mathematical	mathematical	ADJ
cbi-52	20	27	definition	definition	NOUN
cbi-52	20	28	of	of	ADP
cbi-52	20	29	a	a	DET
cbi-52	20	30	good	good	ADJ
cbi-52	20	31	model	model	NOUN
cbi-52	20	32	.	.	PUNCT
cbi-52	21	1	3	3	NUM
cbi-52	21	2	what	what	PRON
cbi-52	21	3	is	be	AUX
cbi-52	21	4	a	a	DET
cbi-52	21	5	model	model	NOUN
cbi-52	21	6	?	?	PUNCT
cbi-52	22	1	what	what	PRON
cbi-52	22	2	is	be	AUX
cbi-52	22	3	the	the	DET
cbi-52	22	4	goal	goal	NOUN
cbi-52	22	5	of	of	ADP
cbi-52	22	6	modeling	modeling	NOUN
cbi-52	22	7	?	?	PUNCT
cbi-52	23	1	for	for	ADP
cbi-52	23	2	most	most	ADJ
cbi-52	23	3	people	people	NOUN
cbi-52	23	4	,	,	PUNCT
cbi-52	23	5	the	the	DET
cbi-52	23	6	goal	goal	NOUN
cbi-52	23	7	of	of	ADP
cbi-52	23	8	making	make	VERB
cbi-52	23	9	a	a	DET
cbi-52	23	10	model	model	NOUN
cbi-52	23	11	is	be	AUX
cbi-52	23	12	to	to	PART
cbi-52	23	13	enable	enable	VERB
cbi-52	23	14	prediction	prediction	NOUN
cbi-52	23	15	of	of	ADP
cbi-52	23	16	points	point	NOUN
cbi-52	23	17	that	that	PRON
cbi-52	23	18	we	we	PRON
cbi-52	23	19	do	do	AUX
cbi-52	23	20	n’t	not	PART
cbi-52	23	21	have	have	VERB
cbi-52	23	22	.	.	PUNCT
cbi-52	24	1	for	for	ADP
cbi-52	24	2	instance	instance	NOUN
cbi-52	24	3	,	,	PUNCT
cbi-52	24	4	in	in	ADP
cbi-52	24	5	the	the	DET
cbi-52	24	6	real	real	ADJ
cbi-52	24	7	estate	estate	NOUN
cbi-52	24	8	model	model	NOUN
cbi-52	24	9	example	example	NOUN
cbi-52	24	10	,	,	PUNCT
cbi-52	24	11	the	the	DET
cbi-52	24	12	goal	goal	NOUN
cbi-52	24	13	is	be	AUX
cbi-52	24	14	to	to	PART
cbi-52	24	15	be	be	AUX
cbi-52	24	16	able	able	ADJ
cbi-52	24	17	to	to	PART
cbi-52	24	18	determine	determine	VERB
cbi-52	24	19	,	,	PUNCT
cbi-52	24	20	as	as	ADV
cbi-52	24	21	best	good	ADJ
cbi-52	24	22	we	we	PRON
cbi-52	24	23	can	can	AUX
cbi-52	24	24	,	,	PUNCT
cbi-52	24	25	what	what	PRON
cbi-52	24	26	the	the	DET
cbi-52	24	27	unknown	unknown	ADJ
cbi-52	24	28	price	price	NOUN
cbi-52	24	29	points	point	NOUN
cbi-52	24	30	will	will	AUX
cbi-52	24	31	look	look	VERB
cbi-52	24	32	like	like	ADP
cbi-52	24	33	.	.	PUNCT
cbi-52	25	1	we	we	PRON
cbi-52	25	2	already	already	ADV
cbi-52	25	3	know	know	VERB
cbi-52	25	4	what	what	PRON
cbi-52	25	5	the	the	DET
cbi-52	25	6	existing	exist	VERB
cbi-52	25	7	points	point	NOUN
cbi-52	25	8	are	be	AUX
cbi-52	25	9	.	.	PUNCT
cbi-52	26	1	if	if	SCONJ
cbi-52	26	2	all	all	PRON
cbi-52	26	3	we	we	PRON
cbi-52	26	4	wanted	want	VERB
cbi-52	26	5	to	to	PART
cbi-52	26	6	do	do	VERB
cbi-52	26	7	was	be	AUX
cbi-52	26	8	know	know	VERB
cbi-52	26	9	what	what	PRON
cbi-52	26	10	different	different	ADJ
cbi-52	26	11	square	square	ADJ
cbi-52	26	12	footages	footage	NOUN
cbi-52	26	13	in	in	ADP
cbi-52	26	14	different	different	ADJ
cbi-52	26	15	years	year	NOUN
cbi-52	26	16	sold	sell	VERB
cbi-52	26	17	for	for	ADP
cbi-52	26	18	in	in	ADP
cbi-52	26	19	the	the	DET
cbi-52	26	20	past	past	NOUN
cbi-52	26	21	,	,	PUNCT
cbi-52	26	22	we	we	PRON
cbi-52	26	23	do	do	AUX
cbi-52	26	24	n’t	not	PART
cbi-52	26	25	need	need	VERB
cbi-52	26	26	a	a	DET
cbi-52	26	27	model	model	NOUN
cbi-52	26	28	,	,	PUNCT
cbi-52	26	29	we	we	PRON
cbi-52	26	30	only	only	ADV
cbi-52	26	31	need	need	VERB
cbi-52	26	32	a	a	DET
cbi-52	26	33	lookup	lookup	NOUN
cbi-52	26	34	table	table	NOUN
cbi-52	26	35	.	.	PUNCT
cbi-52	27	1	now	now	ADV
cbi-52	27	2	,	,	PUNCT
cbi-52	27	3	obviously	obviously	ADV
cbi-52	27	4	,	,	PUNCT
cbi-52	27	5	machines	machine	NOUN
cbi-52	27	6	ca	can	AUX
cbi-52	27	7	n’t	not	PART
cbi-52	27	8	predict	predict	VERB
cbi-52	27	9	the	the	DET
cbi-52	27	10	future	future	NOUN
cbi-52	27	11	.	.	PUNCT
cbi-52	28	1	we	we	PRON
cbi-52	28	2	do	do	AUX
cbi-52	28	3	not	not	PART
cbi-52	28	4	expect	expect	VERB
cbi-52	28	5	our	our	PRON
cbi-52	28	6	predictions	prediction	NOUN
cbi-52	28	7	to	to	PART
cbi-52	28	8	work	work	VERB
cbi-52	28	9	if	if	SCONJ
cbi-52	28	10	the	the	DET
cbi-52	28	11	very	very	ADJ
cbi-52	28	12	basis	basis	NOUN
cbi-52	28	13	of	of	ADP
cbi-52	28	14	what	what	PRON
cbi-52	28	15	is	be	AUX
cbi-52	28	16	happening	happen	VERB
cbi-52	28	17	in	in	ADP
cbi-52	28	18	our	our	PRON
cbi-52	28	19	dataset	dataset	NOUN
cbi-52	28	20	changes	change	NOUN
cbi-52	28	21	.	.	PUNCT
cbi-52	29	1	for	for	ADP
cbi-52	29	2	instance	instance	NOUN
cbi-52	29	3	,	,	PUNCT
cbi-52	29	4	we	we	PRON
cbi-52	29	5	would	would	AUX
cbi-52	29	6	not	not	PART
cbi-52	29	7	expect	expect	VERB
cbi-52	29	8	a	a	DET
cbi-52	29	9	model	model	NOUN
cbi-52	29	10	to	to	PART
cbi-52	29	11	continue	continue	VERB
cbi-52	29	12	to	to	PART
cbi-52	29	13	function	function	VERB
cbi-52	29	14	if	if	SCONJ
cbi-52	29	15	a	a	DET
cbi-52	29	16	community	community	NOUN
cbi-52	29	17	implemented	implement	VERB
cbi-52	29	18	price	price	NOUN
cbi-52	29	19	controls	control	NOUN
cbi-52	29	20	for	for	ADP
cbi-52	29	21	homes	home	NOUN
cbi-52	29	22	.	.	PUNCT
cbi-52	30	1	therefore	therefore	ADV
cbi-52	30	2	,	,	PUNCT
cbi-52	30	3	a	a	DET
cbi-52	30	4	model	model	NOUN
cbi-52	30	5	has	have	VERB
cbi-52	30	6	an	an	DET
cbi-52	30	7	inherent	inherent	ADJ
cbi-52	30	8	presumption	presumption	NOUN
cbi-52	30	9	that	that	SCONJ
cbi-52	30	10	future	future	ADJ
cbi-52	30	11	data	datum	NOUN
cbi-52	30	12	will	will	AUX
cbi-52	30	13	have	have	AUX
cbi-52	30	14	the	the	DET
cbi-52	30	15	same	same	ADJ
cbi-52	30	16	essential	essential	ADJ
cbi-52	30	17	patterns	pattern	NOUN
cbi-52	30	18	as	as	ADP
cbi-52	30	19	current	current	ADJ
cbi-52	30	20	data	datum	NOUN
cbi-52	30	21	.	.	PUNCT
cbi-52	31	1	14	14	NUM
cbi-52	31	2	generalized	generalized	ADJ
cbi-52	31	3	information	information	NOUN
cbi-52	31	4	4	4	NUM
cbi-52	31	5	picking	picking	NOUN
cbi-52	31	6	models	model	NOUN
cbi-52	31	7	there	there	PRON
cbi-52	31	8	are	be	VERB
cbi-52	31	9	innumerable	innumerable	ADJ
cbi-52	31	10	ways	way	NOUN
cbi-52	31	11	to	to	PART
cbi-52	31	12	pick	pick	VERB
cbi-52	31	13	models	model	NOUN
cbi-52	31	14	.	.	PUNCT
cbi-52	32	1	given	give	VERB
cbi-52	32	2	any	any	DET
cbi-52	32	3	discrete	discrete	ADJ
cbi-52	32	4	dataset	dataset	NOUN
cbi-52	32	5	,	,	PUNCT
cbi-52	32	6	there	there	PRON
cbi-52	32	7	are	be	VERB
cbi-52	32	8	literally	literally	ADV
cbi-52	32	9	infinite	infinite	ADJ
cbi-52	32	10	models	model	NOUN
cbi-52	32	11	that	that	PRON
cbi-52	32	12	can	can	AUX
cbi-52	32	13	be	be	AUX
cbi-52	32	14	made	make	VERB
cbi-52	32	15	to	to	PART
cbi-52	32	16	match	match	VERB
cbi-52	32	17	them	they	PRON
cbi-52	32	18	.	.	PUNCT
cbi-52	33	1	therefore	therefore	ADV
cbi-52	33	2	,	,	PUNCT
cbi-52	33	3	given	give	VERB
cbi-52	33	4	an	an	DET
cbi-52	33	5	infinite	infinite	ADJ
cbi-52	33	6	selection	selection	NOUN
cbi-52	33	7	of	of	ADP
cbi-52	33	8	choices	choice	NOUN
cbi-52	33	9	,	,	PUNCT
cbi-52	33	10	how	how	SCONJ
cbi-52	33	11	does	do	AUX
cbi-52	33	12	one	one	NUM
cbi-52	33	13	decide	decide	VERB
cbi-52	33	14	which	which	DET
cbi-52	33	15	model	model	NOUN
cbi-52	33	16	is	be	AUX
cbi-52	33	17	the	the	DET
cbi-52	33	18	best	good	ADJ
cbi-52	33	19	model	model	NOUN
cbi-52	33	20	for	for	ADP
cbi-52	33	21	a	a	DET
cbi-52	33	22	given	give	VERB
cbi-52	33	23	set	set	NOUN
cbi-52	33	24	of	of	ADP
cbi-52	33	25	data	datum	NOUN
cbi-52	33	26	?	?	PUNCT
cbi-52	34	1	as	as	ADP
cbi-52	34	2	an	an	DET
cbi-52	34	3	example	example	NOUN
cbi-52	34	4	,	,	PUNCT
cbi-52	34	5	figure	figure	NOUN
cbi-52	34	6	1	1	NUM
cbi-52	34	7	shows	show	VERB
cbi-52	34	8	a	a	DET
cbi-52	34	9	set	set	NOUN
cbi-52	34	10	of	of	ADP
cbi-52	34	11	points	point	NOUN
cbi-52	34	12	.	.	PUNCT
cbi-52	35	1	these	these	DET
cbi-52	35	2	points	point	NOUN
cbi-52	35	3	can	can	AUX
cbi-52	35	4	be	be	AUX
cbi-52	35	5	given	give	VERB
cbi-52	35	6	by	by	ADP
cbi-52	35	7	the	the	DET
cbi-52	35	8	following	follow	VERB
cbi-52	35	9	list	list	NOUN
cbi-52	35	10	of	of	ADP
cbi-52	35	11	data	datum	NOUN
cbi-52	35	12	pairs	pair	NOUN
cbi-52	35	13	:	:	PUNCT
cbi-52	35	14	(	(	PUNCT
cbi-52	35	15	42	42	NUM
cbi-52	35	16	,	,	PUNCT
cbi-52	35	17	21	21	NUM
cbi-52	35	18	)	)	PUNCT
cbi-52	35	19	,	,	PUNCT
cbi-52	35	20	(	(	PUNCT
cbi-52	35	21	40	40	NUM
cbi-52	35	22	,	,	PUNCT
cbi-52	35	23	20	20	NUM
cbi-52	35	24	)	)	PUNCT
cbi-52	35	25	,	,	PUNCT
cbi-52	35	26	(	(	PUNCT
cbi-52	35	27	30	30	NUM
cbi-52	35	28	,	,	PUNCT
cbi-52	35	29	15	15	NUM
cbi-52	35	30	)	)	PUNCT
cbi-52	35	31	,	,	PUNCT
cbi-52	35	32	(	(	PUNCT
cbi-52	35	33	24	24	NUM
cbi-52	35	34	,	,	PUNCT
cbi-52	35	35	12	12	NUM
cbi-52	35	36	)	)	PUNCT
cbi-52	35	37	,	,	PUNCT
cbi-52	35	38	(	(	PUNCT
cbi-52	35	39	36	36	NUM
cbi-52	35	40	,	,	PUNCT
cbi-52	35	41	18	18	NUM
cbi-52	35	42	)	)	PUNCT
cbi-52	35	43	,	,	PUNCT
cbi-52	35	44	(	(	PUNCT
cbi-52	35	45	14	14	NUM
cbi-52	35	46	,	,	PUNCT
cbi-52	35	47	7	7	NUM
cbi-52	35	48	)	)	PUNCT
cbi-52	35	49	,	,	PUNCT
cbi-52	35	50	(	(	PUNCT
cbi-52	35	51	12	12	NUM
cbi-52	35	52	,	,	PUNCT
cbi-52	35	53	6	6	NUM
cbi-52	35	54	)	)	PUNCT
cbi-52	35	55	(	(	PUNCT
cbi-52	35	56	1	1	X
cbi-52	35	57	)	)	PUNCT
cbi-52	35	58	now	now	ADV
cbi-52	35	59	,	,	PUNCT
cbi-52	35	60	as	as	SCONJ
cbi-52	35	61	mentioned	mention	VERB
cbi-52	35	62	,	,	PUNCT
cbi-52	35	63	if	if	SCONJ
cbi-52	35	64	we	we	PRON
cbi-52	35	65	want	want	VERB
cbi-52	35	66	to	to	PART
cbi-52	35	67	generate	generate	VERB
cbi-52	35	68	a	a	DET
cbi-52	35	69	model	model	NOUN
cbi-52	35	70	for	for	ADP
cbi-52	35	71	these	these	DET
cbi-52	35	72	points	point	NOUN
cbi-52	35	73	,	,	PUNCT
cbi-52	35	74	there	there	PRON
cbi-52	35	75	are	be	VERB
cbi-52	35	76	actually	actually	ADV
cbi-52	35	77	an	an	DET
cbi-52	35	78	infinite	infinite	ADJ
cbi-52	35	79	number	number	NOUN
cbi-52	35	80	of	of	ADP
cbi-52	35	81	models	model	NOUN
cbi-52	35	82	to	to	PART
cbi-52	35	83	choose	choose	VERB
cbi-52	35	84	from	from	ADP
cbi-52	35	85	.	.	PUNCT
cbi-52	36	1	one	one	NUM
cbi-52	36	2	model	model	NOUN
cbi-52	36	3	(	(	PUNCT
cbi-52	36	4	shown	show	VERB
cbi-52	36	5	in	in	ADP
cbi-52	36	6	figure	figure	NOUN
cbi-52	36	7	2	2	NUM
cbi-52	36	8	)	)	PUNCT
cbi-52	36	9	can	can	AUX
cbi-52	36	10	be	be	AUX
cbi-52	36	11	given	give	VERB
cbi-52	36	12	by	by	ADP
cbi-52	36	13	the	the	DET
cbi-52	36	14	equation	equation	NOUN
cbi-52	36	15	x7	x7	NOUN
cbi-52	36	16	−	−	PROPN
cbi-52	36	17	198x6	198x6	NUM
cbi-52	36	18	+	+	NUM
cbi-52	36	19	16364x5	16364x5	PROPN
cbi-52	36	20	−	−	NOUN
cbi-52	36	21	729288x4	729288x4	PROPN
cbi-52	36	22	+	+	CCONJ
cbi-52	36	23	18855360x3−	18855360x3−	NUM
cbi-52	36	24	281625984x2	281625984x2	NUM
cbi-52	36	25	+	+	NUM
cbi-52	36	26	2241146880x	2241146880x	NOUN
cbi-52	36	27	−	−	ADP
cbi-52	36	28	y7	y7	NOUN
cbi-52	36	29	+	+	CCONJ
cbi-52	36	30	99y6	99y6	NUM
cbi-52	36	31	−	−	NUM
cbi-52	37	1	4091y5	4091y5	NUM
cbi-52	38	1	+	+	NOUN
cbi-52	38	2	91161y4	91161y4	NUM
cbi-52	38	3	−	−	PROPN
cbi-52	38	4	1178460y3	1178460y3	NUM
cbi-52	38	5	+	+	NUM
cbi-52	38	6	8800812y2	8800812y2	NUM
cbi-52	39	1	−	−	ADP
cbi-52	39	2	35017920y−	35017920y−	NUM
cbi-52	39	3	7258507200	7258507200	NUM
cbi-52	39	4	=	=	SYM
cbi-52	39	5	0	0	NUM
cbi-52	39	6	.	.	PUNCT
cbi-52	40	1	(	(	PUNCT
cbi-52	40	2	2	2	X
cbi-52	40	3	)	)	PUNCT
cbi-52	40	4	another	another	DET
cbi-52	40	5	model	model	NOUN
cbi-52	40	6	(	(	PUNCT
cbi-52	40	7	shown	show	VERB
cbi-52	40	8	in	in	ADP
cbi-52	40	9	figure	figure	NOUN
cbi-52	40	10	3	3	NUM
cbi-52	40	11	)	)	PUNCT
cbi-52	40	12	can	can	AUX
cbi-52	40	13	be	be	AUX
cbi-52	40	14	given	give	VERB
cbi-52	40	15	by	by	ADP
cbi-52	40	16	the	the	DET
cbi-52	40	17	equation	equation	NOUN
cbi-52	40	18	,	,	PUNCT
cbi-52	40	19	y	y	PROPN
cbi-52	40	20	=	=	PUNCT
cbi-52	40	21	x	x	SYM
cbi-52	40	22	2	2	X
cbi-52	40	23	.	.	PUNCT
cbi-52	41	1	(	(	PUNCT
cbi-52	41	2	3	3	X
cbi-52	41	3	)	)	PUNCT
cbi-52	41	4	yet	yet	ADV
cbi-52	41	5	another	another	DET
cbi-52	41	6	model	model	NOUN
cbi-52	41	7	(	(	PUNCT
cbi-52	41	8	shown	show	VERB
cbi-52	41	9	in	in	ADP
cbi-52	41	10	figure	figure	NOUN
cbi-52	41	11	4	4	NUM
cbi-52	41	12	)	)	PUNCT
cbi-52	41	13	can	can	AUX
cbi-52	41	14	be	be	AUX
cbi-52	41	15	given	give	VERB
cbi-52	41	16	by	by	ADP
cbi-52	41	17	the	the	DET
cbi-52	41	18	equation	equation	NOUN
cbi-52	41	19	x7	x7	NOUN
cbi-52	41	20	−	−	PROPN
cbi-52	41	21	198x6	198x6	NUM
cbi-52	41	22	+	+	NUM
cbi-52	41	23	16364x5	16364x5	PROPN
cbi-52	41	24	−	−	NOUN
cbi-52	41	25	729288x4	729288x4	PROPN
cbi-52	41	26	+	+	CCONJ
cbi-52	41	27	18855360x3−	18855360x3−	NUM
cbi-52	41	28	281625984x2	281625984x2	NUM
cbi-52	41	29	+	+	NUM
cbi-52	41	30	2241146880x	2241146880x	NOUN
cbi-52	41	31	−	−	NOUN
cbi-52	41	32	y9	y9	NOUN
cbi-52	41	33	+	+	CCONJ
cbi-52	41	34	100y8	100y8	NUM
cbi-52	41	35	−	−	PROPN
cbi-52	41	36	4190y7	4190y7	PROPN
cbi-52	42	1	+	+	NOUN
cbi-52	42	2	95252y6	95252y6	NUM
cbi-52	42	3	−	−	NOUN
cbi-52	42	4	1269621y5	1269621y5	PROPN
cbi-52	43	1	+	+	CCONJ
cbi-52	43	2	9979272y4	9979272y4	NUM
cbi-52	44	1	−	−	NOUN
cbi-52	44	2	43818732y3	43818732y3	NUM
cbi-52	45	1	+	+	SYM
cbi-52	45	2	92171520y2	92171520y2	NUM
cbi-52	45	3	−	−	NOUN
cbi-52	45	4	57153600y	57153600y	NUM
cbi-52	45	5	−	−	PROPN
cbi-52	45	6	7315660800	7315660800	NUM
cbi-52	45	7	=	=	SYM
cbi-52	45	8	0	0	NUM
cbi-52	45	9	.	.	PUNCT
cbi-52	46	1	(	(	PUNCT
cbi-52	46	2	4	4	X
cbi-52	46	3	)	)	PUNCT
cbi-52	46	4	keep	keep	VERB
cbi-52	46	5	in	in	ADP
cbi-52	46	6	mind	mind	NOUN
cbi-52	46	7	that	that	SCONJ
cbi-52	46	8	all	all	PRON
cbi-52	46	9	of	of	ADP
cbi-52	46	10	these	these	DET
cbi-52	46	11	models	model	NOUN
cbi-52	46	12	are	be	AUX
cbi-52	46	13	perfect	perfect	ADJ
cbi-52	46	14	fits	fit	NOUN
cbi-52	46	15	to	to	ADP
cbi-52	46	16	the	the	DET
cbi-52	46	17	original	original	ADJ
cbi-52	46	18	dataset	dataset	NOUN
cbi-52	46	19	,	,	PUNCT
cbi-52	46	20	and	and	CCONJ
cbi-52	46	21	there	there	PRON
cbi-52	46	22	are	be	VERB
cbi-52	46	23	infinitely	infinitely	ADV
cbi-52	46	24	more	more	ADJ
cbi-52	46	25	models	model	NOUN
cbi-52	46	26	available	available	ADJ
cbi-52	46	27	to	to	PART
cbi-52	46	28	choose	choose	VERB
cbi-52	46	29	from	from	ADP
cbi-52	46	30	.	.	PUNCT
cbi-52	47	1	while	while	SCONJ
cbi-52	47	2	it	it	PRON
cbi-52	47	3	may	may	AUX
cbi-52	47	4	seem	seem	VERB
cbi-52	47	5	intuitively	intuitively	ADV
cbi-52	47	6	obvious	obvious	ADJ
cbi-52	47	7	which	which	PRON
cbi-52	47	8	of	of	ADP
cbi-52	47	9	these	these	DET
cbi-52	47	10	models	model	NOUN
cbi-52	47	11	should	should	AUX
cbi-52	47	12	be	be	AUX
cbi-52	47	13	chosen	choose	VERB
cbi-52	47	14	,	,	PUNCT
cbi-52	47	15	more	more	ADV
cbi-52	47	16	difficult	difficult	ADJ
cbi-52	47	17	cases	case	NOUN
cbi-52	47	18	make	make	VERB
cbi-52	47	19	intuition	intuition	NOUN
cbi-52	47	20	more	more	ADV
cbi-52	47	21	problematic	problematic	ADJ
cbi-52	47	22	.	.	PUNCT
cbi-52	48	1	therefore	therefore	ADV
cbi-52	48	2	,	,	PUNCT
cbi-52	48	3	we	we	PRON
cbi-52	48	4	have	have	VERB
cbi-52	48	5	to	to	PART
cbi-52	48	6	establish	establish	VERB
cbi-52	48	7	specific	specific	ADJ
cbi-52	48	8	criteria	criterion	NOUN
cbi-52	48	9	for	for	ADP
cbi-52	48	10	choosing	choose	VERB
cbi-52	48	11	models	model	NOUN
cbi-52	48	12	.	.	PUNCT
cbi-52	49	1	the	the	DET
cbi-52	49	2	one	one	NOUN
cbi-52	49	3	we	we	PRON
cbi-52	49	4	intuitively	intuitively	ADV
cbi-52	49	5	think	think	VERB
cbi-52	49	6	of	of	ADP
cbi-52	49	7	as	as	ADP
cbi-52	49	8	the	the	DET
cbi-52	49	9	best	good	ADJ
cbi-52	49	10	fit	fit	NOUN
cbi-52	49	11	is	be	AUX
cbi-52	49	12	(	(	PUNCT
cbi-52	49	13	3	3	NUM
cbi-52	49	14	)	)	PUNCT
cbi-52	49	15	(	(	PUNCT
cbi-52	49	16	figure	figure	NOUN
cbi-52	49	17	3	3	NUM
cbi-52	49	18	)	)	PUNCT
cbi-52	49	19	.	.	PUNCT
cbi-52	50	1	notice	notice	VERB
cbi-52	50	2	that	that	SCONJ
cbi-52	50	3	this	this	PRON
cbi-52	50	4	is	be	AUX
cbi-52	50	5	also	also	ADV
cbi-52	50	6	the	the	DET
cbi-52	50	7	shortest	short	ADJ
cbi-52	50	8	description	description	NOUN
cbi-52	50	9	of	of	ADP
cbi-52	50	10	the	the	DET
cbi-52	50	11	data	datum	NOUN
cbi-52	50	12	.	.	PUNCT
cbi-52	51	1	one	one	NUM
cbi-52	51	2	consistent	consistent	ADJ
cbi-52	51	3	theme	theme	NOUN
cbi-52	51	4	of	of	ADP
cbi-52	51	5	the	the	DET
cbi-52	51	6	theory	theory	NOUN
cbi-52	51	7	of	of	ADP
cbi-52	51	8	inductive	inductive	ADJ
cbi-52	51	9	inference	inference	NOUN
cbi-52	51	10	through	through	ADP
cbi-52	51	11	the	the	DET
cbi-52	51	12	ages	age	NOUN
cbi-52	51	13	is	be	AUX
cbi-52	51	14	that	that	SCONJ
cbi-52	51	15	,	,	PUNCT
cbi-52	51	16	when	when	SCONJ
cbi-52	51	17	deciding	decide	VERB
cbi-52	51	18	between	between	ADP
cbi-52	51	19	two	two	NUM
cbi-52	51	20	equally	equally	ADV
cbi-52	51	21	-	-	PUNCT
cbi-52	51	22	explanatory	explanatory	ADJ
cbi-52	51	23	theories	theory	NOUN
cbi-52	51	24	,	,	PUNCT
cbi-52	51	25	the	the	DET
cbi-52	51	26	shortest	short	ADJ
cbi-52	51	27	one	one	NOUN
cbi-52	51	28	is	be	AUX
cbi-52	51	29	the	the	DET
cbi-52	51	30	best	good	ADJ
cbi-52	51	31	.	.	PUNCT
cbi-52	52	1	this	this	PRON
cbi-52	52	2	has	have	AUX
cbi-52	52	3	been	be	AUX
cbi-52	52	4	expressed	express	VERB
cbi-52	52	5	by	by	ADP
cbi-52	52	6	aristotle	aristotle	PROPN
cbi-52	52	7	(	(	PUNCT
cbi-52	52	8	“	"	PUNCT
cbi-52	52	9	the	the	PRON
cbi-52	52	10	more	more	ADV
cbi-52	52	11	limited	limited	ADJ
cbi-52	52	12	,	,	PUNCT
cbi-52	52	13	if	if	SCONJ
cbi-52	52	14	adequate	adequate	ADJ
cbi-52	52	15	,	,	PUNCT
cbi-52	52	16	is	be	AUX
cbi-52	52	17	always	always	ADV
cbi-52	52	18	preferable	preferable	ADJ
cbi-52	52	19	”	"	PUNCT
cbi-52	52	20	)	)	PUNCT
cbi-52	52	21	,	,	PUNCT
cbi-52	52	22	ptolemy	ptolemy	NOUN
cbi-52	52	23	(	(	PUNCT
cbi-52	52	24	“	"	PUNCT
cbi-52	52	25	we	we	PRON
cbi-52	52	26	consider	consider	VERB
cbi-52	52	27	it	it	PRON
cbi-52	52	28	a	a	DET
cbi-52	52	29	good	good	ADJ
cbi-52	52	30	principle	principle	NOUN
cbi-52	52	31	to	to	PART
cbi-52	52	32	explain	explain	VERB
cbi-52	52	33	the	the	DET
cbi-52	52	34	phenomena	phenomenon	NOUN
cbi-52	52	35	by	by	ADP
cbi-52	52	36	the	the	DET
cbi-52	52	37	simplest	simple	ADJ
cbi-52	52	38	hypothesis	hypothesis	NOUN
cbi-52	52	39	possible	possible	ADJ
cbi-52	52	40	”	"	PUNCT
cbi-52	52	41	)	)	PUNCT
cbi-52	52	42	,	,	PUNCT
cbi-52	52	43	occam	occam	PROPN
cbi-52	52	44	(	(	PUNCT
cbi-52	52	45	“	"	PUNCT
cbi-52	52	46	plurality	plurality	NOUN
cbi-52	52	47	must	must	AUX
cbi-52	52	48	never	never	ADV
cbi-52	52	49	figure	figure	VERB
cbi-52	52	50	1	1	NUM
cbi-52	52	51	:	:	PUNCT
cbi-52	52	52	example	example	NOUN
cbi-52	52	53	set	set	NOUN
cbi-52	52	54	of	of	ADP
cbi-52	52	55	data	datum	NOUN
cbi-52	52	56	points	point	NOUN
cbi-52	52	57	figure	figure	NOUN
cbi-52	52	58	2	2	NUM
cbi-52	52	59	:	:	PUNCT
cbi-52	52	60	a	a	DET
cbi-52	52	61	basic	basic	ADJ
cbi-52	52	62	curve	curve	NOUN
cbi-52	52	63	model	model	NOUN
cbi-52	52	64	volume	volume	NOUN
cbi-52	52	65	1	1	NUM
cbi-52	52	66	,	,	PUNCT
cbi-52	52	67	issue	issue	NOUN
cbi-52	52	68	2	2	NUM
cbi-52	52	69	5	5	NUM
cbi-52	52	70	.	.	PUNCT
cbi-52	52	71	finding	find	VERB
cbi-52	52	72	generalizations	generalization	NOUN
cbi-52	52	73	15	15	NUM
cbi-52	52	74	figure	figure	NOUN
cbi-52	52	75	3	3	NUM
cbi-52	52	76	:	:	PUNCT
cbi-52	52	77	a	a	DET
cbi-52	52	78	line	line	NOUN
cbi-52	52	79	model	model	NOUN
cbi-52	52	80	figure	figure	NOUN
cbi-52	52	81	4	4	NUM
cbi-52	52	82	:	:	PUNCT
cbi-52	52	83	a	a	DET
cbi-52	52	84	complex	complex	ADJ
cbi-52	52	85	curve	curve	NOUN
cbi-52	52	86	model	model	NOUN
cbi-52	52	87	be	be	AUX
cbi-52	52	88	posited	posit	VERB
cbi-52	52	89	without	without	ADP
cbi-52	52	90	necessity	necessity	NOUN
cbi-52	52	91	”	"	PUNCT
cbi-52	52	92	)	)	PUNCT
cbi-52	52	93	,	,	PUNCT
cbi-52	52	94	and	and	CCONJ
cbi-52	52	95	newton	newton	PROPN
cbi-52	52	96	(	(	PUNCT
cbi-52	52	97	“	"	PUNCT
cbi-52	52	98	we	we	PRON
cbi-52	52	99	are	be	AUX
cbi-52	52	100	to	to	PART
cbi-52	52	101	admit	admit	VERB
cbi-52	52	102	no	no	DET
cbi-52	52	103	more	more	ADJ
cbi-52	52	104	causes	cause	NOUN
cbi-52	52	105	of	of	ADP
cbi-52	52	106	natural	natural	ADJ
cbi-52	52	107	things	thing	NOUN
cbi-52	52	108	than	than	ADP
cbi-52	52	109	such	such	ADJ
cbi-52	52	110	as	as	ADP
cbi-52	52	111	are	be	AUX
cbi-52	52	112	both	both	CCONJ
cbi-52	52	113	true	true	ADJ
cbi-52	52	114	and	and	CCONJ
cbi-52	52	115	sufficient	sufficient	ADJ
cbi-52	52	116	to	to	PART
cbi-52	52	117	explain	explain	VERB
cbi-52	52	118	their	their	PRON
cbi-52	52	119	appearances	appearance	NOUN
cbi-52	52	120	”	"	PUNCT
cbi-52	52	121	)	)	PUNCT
cbi-52	52	122	.	.	PUNCT
cbi-52	53	1	this	this	DET
cbi-52	53	2	principle	principle	NOUN
cbi-52	53	3	is	be	AUX
cbi-52	53	4	generally	generally	ADV
cbi-52	53	5	known	know	VERB
cbi-52	53	6	by	by	ADP
cbi-52	53	7	the	the	DET
cbi-52	53	8	name	name	NOUN
cbi-52	53	9	“	"	PUNCT
cbi-52	53	10	occam	occam	PROPN
cbi-52	53	11	’s	’s	PART
cbi-52	53	12	razor	razor	NOUN
cbi-52	53	13	”	"	PUNCT
cbi-52	53	14	(	(	PUNCT
cbi-52	53	15	borowski	borowski	PROPN
cbi-52	53	16	,	,	PUNCT
cbi-52	53	17	2012	2012	NUM
cbi-52	53	18	)	)	PUNCT
cbi-52	53	19	.	.	PUNCT
cbi-52	54	1	the	the	DET
cbi-52	54	2	underlying	underlying	ADJ
cbi-52	54	3	strand	strand	NOUN
cbi-52	54	4	in	in	ADP
cbi-52	54	5	all	all	PRON
cbi-52	54	6	of	of	ADP
cbi-52	54	7	these	these	PRON
cbi-52	54	8	is	be	AUX
cbi-52	54	9	to	to	PART
cbi-52	54	10	never	never	ADV
cbi-52	54	11	make	make	VERB
cbi-52	54	12	something	something	PRON
cbi-52	54	13	more	more	ADV
cbi-52	54	14	complicated	complicated	ADJ
cbi-52	54	15	than	than	ADP
cbi-52	54	16	necessary	necessary	ADJ
cbi-52	54	17	.	.	PUNCT
cbi-52	55	1	while	while	SCONJ
cbi-52	55	2	it	it	PRON
cbi-52	55	3	may	may	AUX
cbi-52	55	4	be	be	AUX
cbi-52	55	5	difficult	difficult	ADJ
cbi-52	55	6	to	to	PART
cbi-52	55	7	judge	judge	VERB
cbi-52	55	8	between	between	ADP
cbi-52	55	9	two	two	NUM
cbi-52	55	10	models	model	NOUN
cbi-52	55	11	that	that	PRON
cbi-52	55	12	explain	explain	VERB
cbi-52	55	13	different	different	ADJ
cbi-52	55	14	subsets	subset	NOUN
cbi-52	55	15	of	of	ADP
cbi-52	55	16	data	datum	NOUN
cbi-52	55	17	(	(	PUNCT
cbi-52	55	18	though	though	SCONJ
cbi-52	55	19	we	we	PRON
cbi-52	55	20	will	will	AUX
cbi-52	55	21	tackle	tackle	VERB
cbi-52	55	22	this	this	DET
cbi-52	55	23	question	question	NOUN
cbi-52	55	24	in	in	ADP
cbi-52	55	25	section	section	NOUN
cbi-52	55	26	7	7	NUM
cbi-52	55	27	)	)	PUNCT
cbi-52	55	28	,	,	PUNCT
cbi-52	55	29	if	if	SCONJ
cbi-52	55	30	two	two	NUM
cbi-52	55	31	theories	theory	NOUN
cbi-52	55	32	are	be	AUX
cbi-52	55	33	exactly	exactly	ADV
cbi-52	55	34	equivalent	equivalent	ADJ
cbi-52	55	35	in	in	ADP
cbi-52	55	36	explaining	explain	VERB
cbi-52	55	37	known	known	ADJ
cbi-52	55	38	data	datum	NOUN
cbi-52	55	39	,	,	PUNCT
cbi-52	55	40	this	this	DET
cbi-52	55	41	principle	principle	NOUN
cbi-52	55	42	definitely	definitely	ADV
cbi-52	55	43	prefers	prefer	VERB
cbi-52	55	44	the	the	DET
cbi-52	55	45	one	one	NOUN
cbi-52	55	46	that	that	PRON
cbi-52	55	47	is	be	AUX
cbi-52	55	48	simpler	simple	ADJ
cbi-52	55	49	.	.	PUNCT
cbi-52	56	1	keas	kea	NOUN
cbi-52	56	2	(	(	PUNCT
cbi-52	56	3	2018	2018	NUM
cbi-52	56	4	)	)	PUNCT
cbi-52	56	5	provides	provide	VERB
cbi-52	56	6	a	a	DET
cbi-52	56	7	detailed	detailed	ADJ
cbi-52	56	8	account	account	NOUN
cbi-52	56	9	of	of	ADP
cbi-52	56	10	how	how	SCONJ
cbi-52	56	11	this	this	DET
cbi-52	56	12	criteria	criterion	NOUN
cbi-52	56	13	has	have	AUX
cbi-52	56	14	worked	work	VERB
cbi-52	56	15	in	in	ADP
cbi-52	56	16	the	the	DET
cbi-52	56	17	history	history	NOUN
cbi-52	56	18	and	and	CCONJ
cbi-52	56	19	philosophy	philosophy	NOUN
cbi-52	56	20	of	of	ADP
cbi-52	56	21	science	science	NOUN
cbi-52	56	22	.	.	PUNCT
cbi-52	57	1	since	since	SCONJ
cbi-52	57	2	computer	computer	NOUN
cbi-52	57	3	models	model	NOUN
cbi-52	57	4	are	be	AUX
cbi-52	57	5	encoded	encode	VERB
cbi-52	57	6	in	in	ADP
cbi-52	57	7	bits	bit	NOUN
cbi-52	57	8	,	,	PUNCT
cbi-52	57	9	we	we	PRON
cbi-52	57	10	actually	actually	ADV
cbi-52	57	11	have	have	VERB
cbi-52	57	12	an	an	DET
cbi-52	57	13	objective	objective	ADJ
cbi-52	57	14	way	way	NOUN
cbi-52	57	15	of	of	ADP
cbi-52	57	16	measuring	measure	VERB
cbi-52	57	17	the	the	DET
cbi-52	57	18	size	size	NOUN
cbi-52	57	19	(	(	PUNCT
cbi-52	57	20	and	and	CCONJ
cbi-52	57	21	,	,	PUNCT
cbi-52	57	22	correspondingly	correspondingly	ADV
cbi-52	57	23	,	,	PUNCT
cbi-52	57	24	the	the	DET
cbi-52	57	25	simplicity	simplicity	NOUN
cbi-52	57	26	)	)	PUNCT
cbi-52	57	27	of	of	ADP
cbi-52	57	28	the	the	DET
cbi-52	57	29	model	model	NOUN
cbi-52	57	30	.	.	PUNCT
cbi-52	58	1	therefore	therefore	ADV
cbi-52	58	2	,	,	PUNCT
cbi-52	58	3	if	if	SCONJ
cbi-52	58	4	two	two	NUM
cbi-52	58	5	models	model	NOUN
cbi-52	58	6	are	be	AUX
cbi-52	58	7	equivalent	equivalent	ADJ
cbi-52	58	8	in	in	ADP
cbi-52	58	9	prediction	prediction	NOUN
cbi-52	58	10	,	,	PUNCT
cbi-52	58	11	the	the	DET
cbi-52	58	12	one	one	NOUN
cbi-52	58	13	which	which	PRON
cbi-52	58	14	can	can	AUX
cbi-52	58	15	be	be	AUX
cbi-52	58	16	encoded	encode	VERB
cbi-52	58	17	in	in	ADP
cbi-52	58	18	the	the	DET
cbi-52	58	19	fewest	few	ADJ
cbi-52	58	20	bits	bit	NOUN
cbi-52	58	21	is	be	AUX
cbi-52	58	22	to	to	PART
cbi-52	58	23	be	be	AUX
cbi-52	58	24	preferred	prefer	VERB
cbi-52	58	25	.	.	PUNCT
cbi-52	59	1	this	this	DET
cbi-52	59	2	ability	ability	NOUN
cbi-52	59	3	to	to	PART
cbi-52	59	4	connect	connect	VERB
cbi-52	59	5	model	model	NOUN
cbi-52	59	6	size	size	NOUN
cbi-52	59	7	to	to	ADP
cbi-52	59	8	occam	occam	PROPN
cbi-52	59	9	’s	’s	PART
cbi-52	59	10	razor	razor	NOUN
cbi-52	59	11	was	be	AUX
cbi-52	59	12	first	first	ADV
cbi-52	59	13	identified	identify	VERB
cbi-52	59	14	by	by	ADP
cbi-52	59	15	solomonoff	solomonoff	NOUN
cbi-52	59	16	(	(	PUNCT
cbi-52	59	17	solomonoff	solomonoff	NOUN
cbi-52	59	18	,	,	PUNCT
cbi-52	59	19	1964a	1964a	NOUN
cbi-52	59	20	;	;	PUNCT
cbi-52	59	21	solomonoff	solomonoff	NOUN
cbi-52	59	22	,	,	PUNCT
cbi-52	59	23	1964b	1964b	NUM
cbi-52	59	24	)	)	PUNCT
cbi-52	59	25	.	.	PUNCT
cbi-52	60	1	solomonoff	solomonoff	ADJ
cbi-52	60	2	induction	induction	NOUN
cbi-52	60	3	has	have	AUX
cbi-52	60	4	been	be	AUX
cbi-52	60	5	used	use	VERB
cbi-52	60	6	as	as	ADP
cbi-52	60	7	the	the	DET
cbi-52	60	8	basis	basis	NOUN
cbi-52	60	9	for	for	ADP
cbi-52	60	10	a	a	DET
cbi-52	60	11	number	number	NOUN
cbi-52	60	12	of	of	ADP
cbi-52	60	13	machine	machine	NOUN
cbi-52	60	14	learning	learn	VERB
cbi-52	60	15	induction	induction	NOUN
cbi-52	60	16	techniques	technique	NOUN
cbi-52	60	17	,	,	PUNCT
cbi-52	60	18	including	include	VERB
cbi-52	60	19	pac	pac	PROPN
cbi-52	60	20	learning	learning	PROPN
cbi-52	60	21	,	,	PUNCT
cbi-52	60	22	occam	occam	PROPN
cbi-52	60	23	learning	learning	PROPN
cbi-52	60	24	,	,	PUNCT
cbi-52	60	25	and	and	CCONJ
cbi-52	60	26	others	other	NOUN
cbi-52	60	27	(	(	PUNCT
cbi-52	60	28	a	a	DET
cbi-52	60	29	comparison	comparison	NOUN
cbi-52	60	30	of	of	ADP
cbi-52	60	31	the	the	DET
cbi-52	60	32	present	present	ADJ
cbi-52	60	33	approach	approach	NOUN
cbi-52	60	34	with	with	ADP
cbi-52	60	35	these	these	PRON
cbi-52	60	36	is	be	AUX
cbi-52	60	37	given	give	VERB
cbi-52	60	38	in	in	ADP
cbi-52	60	39	section	section	NOUN
cbi-52	60	40	12	12	NUM
cbi-52	60	41	)	)	PUNCT
cbi-52	60	42	.	.	PUNCT
cbi-52	61	1	5	5	NUM
cbi-52	61	2	finding	find	VERB
cbi-52	61	3	generalizations	generalization	NOUN
cbi-52	61	4	the	the	DET
cbi-52	61	5	methods	method	NOUN
cbi-52	61	6	described	describe	VERB
cbi-52	61	7	in	in	ADP
cbi-52	61	8	section	section	NOUN
cbi-52	61	9	4	4	NUM
cbi-52	61	10	allows	allow	VERB
cbi-52	61	11	us	we	PRON
cbi-52	61	12	to	to	PART
cbi-52	61	13	distinguish	distinguish	VERB
cbi-52	61	14	between	between	ADP
cbi-52	61	15	two	two	NUM
cbi-52	61	16	possible	possible	ADJ
cbi-52	61	17	models	model	NOUN
cbi-52	61	18	.	.	PUNCT
cbi-52	62	1	however	however	ADV
cbi-52	62	2	,	,	PUNCT
cbi-52	62	3	while	while	SCONJ
cbi-52	62	4	it	it	PRON
cbi-52	62	5	does	do	AUX
cbi-52	62	6	allow	allow	VERB
cbi-52	62	7	us	we	PRON
cbi-52	62	8	to	to	PART
cbi-52	62	9	determine	determine	VERB
cbi-52	62	10	if	if	SCONJ
cbi-52	62	11	one	one	NUM
cbi-52	62	12	model	model	NOUN
cbi-52	62	13	is	be	AUX
cbi-52	62	14	better	well	ADJ
cbi-52	62	15	than	than	ADP
cbi-52	62	16	another	another	PRON
cbi-52	62	17	,	,	PUNCT
cbi-52	62	18	it	it	PRON
cbi-52	62	19	does	do	AUX
cbi-52	62	20	not	not	PART
cbi-52	62	21	give	give	VERB
cbi-52	62	22	any	any	DET
cbi-52	62	23	information	information	NOUN
cbi-52	62	24	about	about	ADP
cbi-52	62	25	whether	whether	SCONJ
cbi-52	62	26	or	or	CCONJ
cbi-52	62	27	not	not	PART
cbi-52	62	28	a	a	DET
cbi-52	62	29	model	model	NOUN
cbi-52	62	30	is	be	AUX
cbi-52	62	31	a	a	DET
cbi-52	62	32	“	"	PUNCT
cbi-52	62	33	good	good	ADJ
cbi-52	62	34	”	"	PUNCT
cbi-52	62	35	model	model	NOUN
cbi-52	62	36	in	in	ADP
cbi-52	62	37	an	an	DET
cbi-52	62	38	absolute	absolute	ADJ
cbi-52	62	39	sense	sense	NOUN
cbi-52	62	40	.	.	PUNCT
cbi-52	63	1	look	look	VERB
cbi-52	63	2	again	again	ADV
cbi-52	63	3	at	at	ADP
cbi-52	63	4	figures	figure	NOUN
cbi-52	63	5	2	2	NUM
cbi-52	63	6	and	and	CCONJ
cbi-52	63	7	4	4	NUM
cbi-52	63	8	.	.	PUNCT
cbi-52	64	1	even	even	ADV
cbi-52	64	2	if	if	SCONJ
cbi-52	64	3	we	we	PRON
cbi-52	64	4	did	do	AUX
cbi-52	64	5	n’t	not	PART
cbi-52	64	6	have	have	VERB
cbi-52	64	7	the	the	DET
cbi-52	64	8	model	model	NOUN
cbi-52	64	9	in	in	ADP
cbi-52	64	10	figure	figure	NOUN
cbi-52	64	11	3	3	NUM
cbi-52	64	12	,	,	PUNCT
cbi-52	64	13	both	both	PRON
cbi-52	64	14	of	of	ADP
cbi-52	64	15	these	these	PRON
cbi-52	64	16	seem	seem	VERB
cbi-52	64	17	ridiculously	ridiculously	ADV
cbi-52	64	18	overcomplex	overcomplex	ADJ
cbi-52	64	19	for	for	ADP
cbi-52	64	20	the	the	DET
cbi-52	64	21	given	give	VERB
cbi-52	64	22	data	datum	NOUN
cbi-52	64	23	.	.	PUNCT
cbi-52	65	1	that	that	PRON
cbi-52	65	2	is	is	ADV
cbi-52	65	3	,	,	PUNCT
cbi-52	65	4	neither	neither	PRON
cbi-52	65	5	of	of	ADP
cbi-52	65	6	them	they	PRON
cbi-52	65	7	is	be	AUX
cbi-52	65	8	a	a	DET
cbi-52	65	9	good	good	ADJ
cbi-52	65	10	model	model	NOUN
cbi-52	65	11	for	for	ADP
cbi-52	65	12	the	the	DET
cbi-52	65	13	given	give	VERB
cbi-52	65	14	data	datum	NOUN
cbi-52	65	15	,	,	PUNCT
cbi-52	65	16	even	even	ADV
cbi-52	65	17	if	if	SCONJ
cbi-52	65	18	they	they	PRON
cbi-52	65	19	are	be	AUX
cbi-52	65	20	being	be	AUX
cbi-52	65	21	compared	compare	VERB
cbi-52	65	22	against	against	ADP
cbi-52	65	23	each	each	DET
cbi-52	65	24	other	other	ADJ
cbi-52	65	25	.	.	PUNCT
cbi-52	66	1	to	to	PART
cbi-52	66	2	understand	understand	VERB
cbi-52	66	3	why	why	SCONJ
cbi-52	66	4	this	this	PRON
cbi-52	66	5	is	be	AUX
cbi-52	66	6	the	the	DET
cbi-52	66	7	case	case	NOUN
cbi-52	66	8	,	,	PUNCT
cbi-52	66	9	take	take	VERB
cbi-52	66	10	a	a	DET
cbi-52	66	11	look	look	NOUN
cbi-52	66	12	at	at	ADP
cbi-52	66	13	the	the	DET
cbi-52	66	14	data	data	NOUN
cbi-52	66	15	points	point	NOUN
cbi-52	66	16	given	give	VERB
cbi-52	66	17	in	in	ADP
cbi-52	66	18	(	(	PUNCT
cbi-52	66	19	1	1	NUM
cbi-52	66	20	)	)	PUNCT
cbi-52	66	21	.	.	PUNCT
cbi-52	67	1	now	now	ADV
cbi-52	67	2	,	,	PUNCT
cbi-52	67	3	take	take	VERB
cbi-52	67	4	a	a	DET
cbi-52	67	5	look	look	NOUN
cbi-52	67	6	at	at	ADP
cbi-52	67	7	(	(	PUNCT
cbi-52	67	8	2	2	NUM
cbi-52	67	9	)	)	PUNCT
cbi-52	67	10	and	and	CCONJ
cbi-52	67	11	(	(	PUNCT
cbi-52	67	12	4	4	NUM
cbi-52	67	13	)	)	PUNCT
cbi-52	67	14	.	.	PUNCT
cbi-52	68	1	in	in	ADP
cbi-52	68	2	both	both	PRON
cbi-52	68	3	of	of	ADP
cbi-52	68	4	these	these	DET
cbi-52	68	5	cases	case	NOUN
cbi-52	68	6	,	,	PUNCT
cbi-52	68	7	the	the	DET
cbi-52	68	8	equations	equation	NOUN
cbi-52	68	9	are	be	AUX
cbi-52	68	10	longer	long	ADJ
cbi-52	68	11	than	than	SCONJ
cbi-52	68	12	the	the	DET
cbi-52	68	13	original	original	ADJ
cbi-52	68	14	data	datum	NOUN
cbi-52	68	15	set.1	set.1	VERB
cbi-52	68	16	however	however	ADV
cbi-52	68	17	,	,	PUNCT
cbi-52	68	18	the	the	DET
cbi-52	68	19	equation	equation	NOUN
cbi-52	68	20	that	that	PRON
cbi-52	68	21	seems	seem	VERB
cbi-52	68	22	to	to	PART
cbi-52	68	23	be	be	AUX
cbi-52	68	24	a	a	DET
cbi-52	68	25	better	well	ADJ
cbi-52	68	26	model	model	NOUN
cbi-52	68	27	is	be	AUX
cbi-52	68	28	(	(	PUNCT
cbi-52	68	29	3	3	NUM
cbi-52	68	30	)	)	PUNCT
cbi-52	68	31	.	.	PUNCT
cbi-52	69	1	in	in	ADP
cbi-52	69	2	this	this	DET
cbi-52	69	3	case	case	NOUN
cbi-52	69	4	,	,	PUNCT
cbi-52	69	5	at	at	ADP
cbi-52	69	6	least	least	ADJ
cbi-52	69	7	from	from	ADP
cbi-52	69	8	an	an	DET
cbi-52	69	9	initial	initial	ADJ
cbi-52	69	10	look	look	NOUN
cbi-52	69	11	,	,	PUNCT
cbi-52	69	12	the	the	DET
cbi-52	69	13	model	model	NOUN
cbi-52	69	14	is	be	AUX
cbi-52	69	15	shorter	short	ADJ
cbi-52	69	16	than	than	ADP
cbi-52	69	17	the	the	DET
cbi-52	69	18	data	datum	NOUN
cbi-52	69	19	that	that	PRON
cbi-52	69	20	is	be	AUX
cbi-52	69	21	modeled	model	VERB
cbi-52	69	22	.	.	PUNCT
cbi-52	70	1	1while	1while	NUM
cbi-52	70	2	we	we	PRON
cbi-52	70	3	have	have	AUX
cbi-52	70	4	n’t	not	PART
cbi-52	70	5	specified	specify	VERB
cbi-52	70	6	a	a	DET
cbi-52	70	7	specific	specific	ADJ
cbi-52	70	8	mechanism	mechanism	NOUN
cbi-52	70	9	for	for	ADP
cbi-52	70	10	measuring	measure	VERB
cbi-52	70	11	these	these	DET
cbi-52	70	12	size	size	NOUN
cbi-52	70	13	of	of	ADP
cbi-52	70	14	equations	equation	NOUN
cbi-52	70	15	,	,	PUNCT
cbi-52	70	16	for	for	ADP
cbi-52	70	17	these	these	DET
cbi-52	70	18	particular	particular	ADJ
cbi-52	70	19	equations	equation	NOUN
cbi-52	70	20	,	,	PUNCT
cbi-52	70	21	pretty	pretty	ADV
cbi-52	70	22	much	much	ADV
cbi-52	70	23	every	every	DET
cbi-52	70	24	means	mean	NOUN
cbi-52	70	25	available	available	ADJ
cbi-52	70	26	for	for	ADP
cbi-52	70	27	measuring	measure	VERB
cbi-52	70	28	their	their	PRON
cbi-52	70	29	size	size	NOUN
cbi-52	70	30	will	will	AUX
cbi-52	70	31	be	be	AUX
cbi-52	70	32	longer	long	ADJ
cbi-52	70	33	than	than	ADP
cbi-52	70	34	the	the	DET
cbi-52	70	35	original	original	ADJ
cbi-52	70	36	data	datum	NOUN
cbi-52	70	37	set	set	VERB
cbi-52	70	38	.	.	PUNCT
cbi-52	71	1	16	16	NUM
cbi-52	71	2	generalized	generalized	ADJ
cbi-52	71	3	information	information	NOUN
cbi-52	71	4	we	we	PRON
cbi-52	71	5	will	will	AUX
cbi-52	71	6	call	call	VERB
cbi-52	71	7	a	a	DET
cbi-52	71	8	model	model	NOUN
cbi-52	71	9	that	that	PRON
cbi-52	71	10	is	be	AUX
cbi-52	71	11	shorter	short	ADJ
cbi-52	71	12	than	than	ADP
cbi-52	71	13	the	the	DET
cbi-52	71	14	data	datum	NOUN
cbi-52	71	15	that	that	PRON
cbi-52	71	16	it	it	PRON
cbi-52	71	17	is	be	AUX
cbi-52	71	18	modeling	model	VERB
cbi-52	71	19	a	a	DET
cbi-52	71	20	generalization	generalization	NOUN
cbi-52	71	21	.	.	PUNCT
cbi-52	72	1	generalizations	generalization	NOUN
cbi-52	72	2	are	be	AUX
cbi-52	72	3	important	important	ADJ
cbi-52	72	4	because	because	SCONJ
cbi-52	72	5	only	only	ADJ
cbi-52	72	6	generalizations	generalization	NOUN
cbi-52	72	7	represent	represent	VERB
cbi-52	72	8	real	real	ADJ
cbi-52	72	9	learning	learning	NOUN
cbi-52	72	10	.	.	PUNCT
cbi-52	73	1	this	this	PRON
cbi-52	73	2	can	can	AUX
cbi-52	73	3	be	be	AUX
cbi-52	73	4	understood	understand	VERB
cbi-52	73	5	just	just	ADV
cbi-52	73	6	from	from	ADP
cbi-52	73	7	thinking	think	VERB
cbi-52	73	8	about	about	ADP
cbi-52	73	9	the	the	DET
cbi-52	73	10	problem	problem	NOUN
cbi-52	73	11	itself	itself	PRON
cbi-52	73	12	.	.	PUNCT
cbi-52	74	1	for	for	ADP
cbi-52	74	2	any	any	DET
cbi-52	74	3	given	give	VERB
cbi-52	74	4	set	set	NOUN
cbi-52	74	5	of	of	ADP
cbi-52	74	6	data	datum	NOUN
cbi-52	74	7	points	point	NOUN
cbi-52	74	8	,	,	PUNCT
cbi-52	74	9	the	the	DET
cbi-52	74	10	data	data	NOUN
cbi-52	74	11	points	point	NOUN
cbi-52	74	12	could	could	AUX
cbi-52	74	13	be	be	AUX
cbi-52	74	14	treated	treat	VERB
cbi-52	74	15	as	as	ADP
cbi-52	74	16	a	a	DET
cbi-52	74	17	mapping	mapping	NOUN
cbi-52	74	18	of	of	ADP
cbi-52	74	19	input	input	NOUN
cbi-52	74	20	to	to	ADP
cbi-52	74	21	output	output	NOUN
cbi-52	74	22	.	.	PUNCT
cbi-52	75	1	therefore	therefore	ADV
cbi-52	75	2	,	,	PUNCT
cbi-52	75	3	the	the	DET
cbi-52	75	4	data	data	NOUN
cbi-52	75	5	points	point	VERB
cbi-52	75	6	themselves	themselves	PRON
cbi-52	75	7	act	act	VERB
cbi-52	75	8	as	as	ADP
cbi-52	75	9	a	a	DET
cbi-52	75	10	model	model	NOUN
cbi-52	75	11	for	for	ADP
cbi-52	75	12	themselves	themselves	PRON
cbi-52	75	13	.	.	PUNCT
cbi-52	76	1	since	since	SCONJ
cbi-52	76	2	occam	occam	PROPN
cbi-52	76	3	’s	’s	PART
cbi-52	76	4	razor	razor	NOUN
cbi-52	76	5	measures	measure	NOUN
cbi-52	76	6	models	model	NOUN
cbi-52	76	7	comparatively	comparatively	ADV
cbi-52	76	8	,	,	PUNCT
cbi-52	76	9	we	we	PRON
cbi-52	76	10	already	already	ADV
cbi-52	76	11	have	have	VERB
cbi-52	76	12	the	the	DET
cbi-52	76	13	data	data	NOUN
cbi-52	76	14	points	point	VERB
cbi-52	76	15	themselves	themselves	PRON
cbi-52	76	16	as	as	ADP
cbi-52	76	17	a	a	DET
cbi-52	76	18	one	one	NUM
cbi-52	76	19	possible	possible	ADJ
cbi-52	76	20	model	model	NOUN
cbi-52	76	21	for	for	ADP
cbi-52	76	22	the	the	DET
cbi-52	76	23	data	datum	NOUN
cbi-52	76	24	.	.	PUNCT
cbi-52	77	1	therefore	therefore	ADV
cbi-52	77	2	,	,	PUNCT
cbi-52	77	3	any	any	DET
cbi-52	77	4	proposed	propose	VERB
cbi-52	77	5	model	model	NOUN
cbi-52	77	6	must	must	AUX
cbi-52	77	7	be	be	AUX
cbi-52	77	8	smaller	small	ADJ
cbi-52	77	9	than	than	SCONJ
cbi-52	77	10	the	the	DET
cbi-52	77	11	data	data	NOUN
cbi-52	77	12	points	point	VERB
cbi-52	77	13	themselves	themselves	PRON
cbi-52	77	14	.	.	PUNCT
cbi-52	78	1	we	we	PRON
cbi-52	78	2	will	will	AUX
cbi-52	78	3	call	call	VERB
cbi-52	78	4	a	a	DET
cbi-52	78	5	model	model	NOUN
cbi-52	78	6	that	that	PRON
cbi-52	78	7	is	be	AUX
cbi-52	78	8	smaller	small	ADJ
cbi-52	78	9	than	than	ADP
cbi-52	78	10	the	the	DET
cbi-52	78	11	data	data	NOUN
cbi-52	78	12	points	point	VERB
cbi-52	78	13	themselves	themselves	PRON
cbi-52	78	14	a	a	DET
cbi-52	78	15	generalization	generalization	NOUN
cbi-52	78	16	.	.	PUNCT
cbi-52	79	1	this	this	PRON
cbi-52	79	2	is	be	AUX
cbi-52	79	3	the	the	DET
cbi-52	79	4	first	first	ADJ
cbi-52	79	5	iteration	iteration	NOUN
cbi-52	79	6	of	of	ADP
cbi-52	79	7	the	the	DET
cbi-52	79	8	concept	concept	NOUN
cbi-52	79	9	we	we	PRON
cbi-52	79	10	will	will	AUX
cbi-52	79	11	construct	construct	VERB
cbi-52	79	12	.	.	PUNCT
cbi-52	80	1	generalized	generalized	ADJ
cbi-52	80	2	information	information	NOUN
cbi-52	80	3	(	(	PUNCT
cbi-52	80	4	ig	ig	NOUN
cbi-52	80	5	)	)	PUNCT
cbi-52	80	6	is	be	AUX
cbi-52	80	7	the	the	DET
cbi-52	80	8	difference	difference	NOUN
cbi-52	80	9	between	between	ADP
cbi-52	80	10	the	the	DET
cbi-52	80	11	size	size	NOUN
cbi-52	80	12	of	of	ADP
cbi-52	80	13	the	the	DET
cbi-52	80	14	data	data	NOUN
cbi-52	80	15	points	point	NOUN
cbi-52	80	16	and	and	CCONJ
cbi-52	80	17	the	the	DET
cbi-52	80	18	size	size	NOUN
cbi-52	80	19	of	of	ADP
cbi-52	80	20	the	the	DET
cbi-52	80	21	model	model	NOUN
cbi-52	80	22	.	.	PUNCT
cbi-52	81	1	therefore	therefore	ADV
cbi-52	81	2	,	,	PUNCT
cbi-52	81	3	in	in	ADP
cbi-52	81	4	this	this	DET
cbi-52	81	5	first	first	ADJ
cbi-52	81	6	formulation	formulation	NOUN
cbi-52	81	7	,	,	PUNCT
cbi-52	81	8	if	if	SCONJ
cbi-52	81	9	d	d	PROPN
cbi-52	81	10	is	be	AUX
cbi-52	81	11	the	the	DET
cbi-52	81	12	data	datum	NOUN
cbi-52	81	13	and	and	CCONJ
cbi-52	81	14	|d	|d	NOUN
cbi-52	81	15	|	|	ADV
cbi-52	81	16	is	be	AUX
cbi-52	81	17	the	the	DET
cbi-52	81	18	size	size	NOUN
cbi-52	81	19	of	of	ADP
cbi-52	81	20	the	the	DET
cbi-52	81	21	data	datum	NOUN
cbi-52	81	22	in	in	ADP
cbi-52	81	23	bits	bit	NOUN
cbi-52	81	24	,	,	PUNCT
cbi-52	81	25	and	and	CCONJ
cbi-52	81	26	m	m	PROPN
cbi-52	81	27	is	be	AUX
cbi-52	81	28	the	the	DET
cbi-52	81	29	model	model	NOUN
cbi-52	81	30	and	and	CCONJ
cbi-52	81	31	|m	|m	NOUN
cbi-52	81	32	|	|	ADV
cbi-52	81	33	is	be	AUX
cbi-52	81	34	the	the	DET
cbi-52	81	35	size	size	NOUN
cbi-52	81	36	of	of	ADP
cbi-52	81	37	the	the	DET
cbi-52	81	38	model	model	NOUN
cbi-52	81	39	in	in	ADP
cbi-52	81	40	bits	bit	NOUN
cbi-52	81	41	,	,	PUNCT
cbi-52	81	42	then	then	ADV
cbi-52	81	43	ig	ig	PROPN
cbi-52	81	44	=	=	PUNCT
cbi-52	81	45	|d	|d	NOUN
cbi-52	81	46	|	|	ADV
cbi-52	81	47	−	−	PUNCT
cbi-52	81	48	|m	|m	NOUN
cbi-52	81	49	|	|	ADV
cbi-52	81	50	.	.	PUNCT
cbi-52	82	1	(	(	PUNCT
cbi-52	82	2	5	5	X
cbi-52	82	3	)	)	PUNCT
cbi-52	82	4	this	this	PRON
cbi-52	82	5	measures	measure	VERB
cbi-52	82	6	the	the	DET
cbi-52	82	7	amount	amount	NOUN
cbi-52	82	8	of	of	ADP
cbi-52	82	9	generalization	generalization	NOUN
cbi-52	82	10	that	that	PRON
cbi-52	82	11	a	a	DET
cbi-52	82	12	model	model	NOUN
cbi-52	82	13	provides	provide	VERB
cbi-52	82	14	for	for	ADP
cbi-52	82	15	its	its	PRON
cbi-52	82	16	data.2	data.2	NOUN
cbi-52	82	17	in	in	ADP
cbi-52	82	18	this	this	DET
cbi-52	82	19	formulation	formulation	NOUN
cbi-52	82	20	,	,	PUNCT
cbi-52	82	21	when	when	SCONJ
cbi-52	82	22	ig	ig	PROPN
cbi-52	82	23	is	be	AUX
cbi-52	82	24	positive	positive	ADJ
cbi-52	82	25	,	,	PUNCT
cbi-52	82	26	m	m	VERB
cbi-52	82	27	provides	provide	VERB
cbi-52	82	28	a	a	DET
cbi-52	82	29	generalization	generalization	NOUN
cbi-52	82	30	of	of	ADP
cbi-52	82	31	d.	d.	PROPN
cbi-52	82	32	when	when	SCONJ
cbi-52	82	33	ig	ig	PROPN
cbi-52	82	34	is	be	AUX
cbi-52	82	35	zero	zero	NUM
cbi-52	82	36	or	or	CCONJ
cbi-52	82	37	negative	negative	ADJ
cbi-52	82	38	,	,	PUNCT
cbi-52	82	39	m	m	AUX
cbi-52	82	40	does	do	AUX
cbi-52	82	41	not	not	PART
cbi-52	82	42	provide	provide	VERB
cbi-52	82	43	a	a	DET
cbi-52	82	44	generalization	generalization	NOUN
cbi-52	82	45	of	of	ADP
cbi-52	82	46	d.	d.	PROPN
cbi-52	82	47	6	6	NUM
cbi-52	82	48	output	output	NOUN
cbi-52	82	49	prediction	prediction	NOUN
cbi-52	82	50	dimensionality	dimensionality	NOUN
cbi-52	82	51	the	the	DET
cbi-52	82	52	one	one	NUM
cbi-52	82	53	thing	thing	NOUN
cbi-52	82	54	to	to	PART
cbi-52	82	55	consider	consider	VERB
cbi-52	82	56	about	about	ADP
cbi-52	82	57	the	the	DET
cbi-52	82	58	model	model	NOUN
cbi-52	82	59	given	give	VERB
cbi-52	82	60	in	in	ADP
cbi-52	82	61	the	the	DET
cbi-52	82	62	previous	previous	ADJ
cbi-52	82	63	section	section	NOUN
cbi-52	82	64	is	be	AUX
cbi-52	82	65	that	that	SCONJ
cbi-52	82	66	,	,	PUNCT
cbi-52	82	67	since	since	SCONJ
cbi-52	82	68	it	it	PRON
cbi-52	82	69	uses	use	VERB
cbi-52	82	70	data	datum	NOUN
cbi-52	82	71	points	point	NOUN
cbi-52	82	72	,	,	PUNCT
cbi-52	82	73	it	it	PRON
cbi-52	82	74	is	be	AUX
cbi-52	82	75	ambivalent	ambivalent	ADJ
cbi-52	82	76	as	as	SCONJ
cbi-52	82	77	to	to	PART
cbi-52	82	78	which	which	DET
cbi-52	82	79	direction	direction	NOUN
cbi-52	82	80	the	the	DET
cbi-52	82	81	prediction	prediction	NOUN
cbi-52	82	82	occurs	occur	VERB
cbi-52	82	83	in	in	ADP
cbi-52	82	84	.	.	PUNCT
cbi-52	83	1	that	that	PRON
cbi-52	83	2	is	is	ADV
cbi-52	83	3	,	,	PUNCT
cbi-52	83	4	given	give	VERB
cbi-52	83	5	n	n	CCONJ
cbi-52	83	6	-	-	PUNCT
cbi-52	83	7	dimensional	dimensional	ADJ
cbi-52	83	8	data	datum	NOUN
cbi-52	83	9	,	,	PUNCT
cbi-52	83	10	one	one	PRON
cbi-52	83	11	can	can	AUX
cbi-52	83	12	use	use	VERB
cbi-52	83	13	the	the	DET
cbi-52	83	14	data	data	NOUN
cbi-52	83	15	points	point	NOUN
cbi-52	83	16	to	to	PART
cbi-52	83	17	arrive	arrive	VERB
cbi-52	83	18	at	at	ADP
cbi-52	83	19	results	result	NOUN
cbi-52	83	20	from	from	ADP
cbi-52	83	21	any	any	DET
cbi-52	83	22	n	n	CCONJ
cbi-52	83	23	−	−	NUM
cbi-52	83	24	1	1	NUM
cbi-52	83	25	dimensions	dimension	NOUN
cbi-52	83	26	given	give	VERB
cbi-52	83	27	.	.	PUNCT
cbi-52	84	1	so	so	ADV
cbi-52	84	2	,	,	PUNCT
cbi-52	84	3	if	if	SCONJ
cbi-52	84	4	our	our	PRON
cbi-52	84	5	data	datum	NOUN
cbi-52	84	6	consisted	consist	VERB
cbi-52	84	7	of	of	ADP
cbi-52	84	8	homes	home	NOUN
cbi-52	84	9	with	with	ADP
cbi-52	84	10	the	the	DET
cbi-52	84	11	year	year	NOUN
cbi-52	84	12	that	that	SCONJ
cbi-52	84	13	it	it	PRON
cbi-52	84	14	was	be	AUX
cbi-52	84	15	built	build	VERB
cbi-52	84	16	,	,	PUNCT
cbi-52	84	17	the	the	DET
cbi-52	84	18	square	square	ADJ
cbi-52	84	19	footage	footage	NOUN
cbi-52	84	20	,	,	PUNCT
cbi-52	84	21	and	and	CCONJ
cbi-52	84	22	the	the	DET
cbi-52	84	23	price	price	NOUN
cbi-52	84	24	it	it	PRON
cbi-52	84	25	sold	sell	VERB
cbi-52	84	26	at	at	ADP
cbi-52	84	27	,	,	PUNCT
cbi-52	84	28	we	we	PRON
cbi-52	84	29	presumably	presumably	ADV
cbi-52	84	30	would	would	AUX
cbi-52	84	31	want	want	VERB
cbi-52	84	32	to	to	PART
cbi-52	84	33	know	know	VERB
cbi-52	84	34	the	the	DET
cbi-52	84	35	price	price	NOUN
cbi-52	84	36	based	base	VERB
cbi-52	84	37	on	on	ADP
cbi-52	84	38	the	the	DET
cbi-52	84	39	year	year	NOUN
cbi-52	84	40	it	it	PRON
cbi-52	84	41	was	be	AUX
cbi-52	84	42	built	build	VERB
cbi-52	84	43	and	and	CCONJ
cbi-52	84	44	the	the	DET
cbi-52	84	45	square	square	ADJ
cbi-52	84	46	footage	footage	NOUN
cbi-52	84	47	.	.	PUNCT
cbi-52	85	1	however	however	ADV
cbi-52	85	2	,	,	PUNCT
cbi-52	85	3	there	there	PRON
cbi-52	85	4	is	be	VERB
cbi-52	85	5	nothing	nothing	PRON
cbi-52	85	6	preventing	prevent	VERB
cbi-52	85	7	us	we	PRON
cbi-52	85	8	from	from	ADP
cbi-52	85	9	looking	look	VERB
cbi-52	85	10	up	up	ADP
cbi-52	85	11	the	the	DET
cbi-52	85	12	square	square	ADJ
cbi-52	85	13	footage	footage	NOUN
cbi-52	85	14	based	base	VERB
cbi-52	85	15	on	on	ADP
cbi-52	85	16	the	the	DET
cbi-52	85	17	price	price	NOUN
cbi-52	85	18	and	and	CCONJ
cbi-52	85	19	the	the	DET
cbi-52	85	20	year	year	NOUN
cbi-52	85	21	it	it	PRON
cbi-52	85	22	was	be	AUX
cbi-52	85	23	built	build	VERB
cbi-52	85	24	,	,	PUNCT
cbi-52	85	25	or	or	CCONJ
cbi-52	85	26	looking	look	VERB
cbi-52	85	27	up	up	ADP
cbi-52	85	28	the	the	DET
cbi-52	85	29	year	year	NOUN
cbi-52	85	30	it	it	PRON
cbi-52	85	31	was	be	AUX
cbi-52	85	32	built	build	VERB
cbi-52	85	33	from	from	ADP
cbi-52	85	34	the	the	DET
cbi-52	85	35	price	price	NOUN
cbi-52	85	36	and	and	CCONJ
cbi-52	85	37	the	the	DET
cbi-52	85	38	square	square	ADJ
cbi-52	85	39	footage	footage	NOUN
cbi-52	85	40	.	.	PUNCT
cbi-52	86	1	however	however	ADV
cbi-52	86	2	,	,	PUNCT
cbi-52	86	3	many	many	ADJ
cbi-52	86	4	machine	machine	NOUN
cbi-52	86	5	learning	learning	NOUN
cbi-52	86	6	models	model	NOUN
cbi-52	86	7	are	be	AUX
cbi-52	86	8	non	non	ADJ
cbi-52	86	9	-	-	ADJ
cbi-52	86	10	reversible	reversible	ADJ
cbi-52	86	11	.	.	PUNCT
cbi-52	87	1	that	that	PRON
cbi-52	87	2	is	be	AUX
cbi-52	87	3	,	,	PUNCT
cbi-52	87	4	if	if	SCONJ
cbi-52	87	5	the	the	DET
cbi-52	87	6	goal	goal	NOUN
cbi-52	87	7	is	be	AUX
cbi-52	87	8	to	to	PART
cbi-52	87	9	determine	determine	VERB
cbi-52	87	10	the	the	DET
cbi-52	87	11	final	final	ADJ
cbi-52	87	12	price	price	NOUN
cbi-52	87	13	,	,	PUNCT
cbi-52	87	14	and	and	CCONJ
cbi-52	87	15	the	the	DET
cbi-52	87	16	2there	2there	NUM
cbi-52	87	17	are	be	AUX
cbi-52	87	18	some	some	DET
cbi-52	87	19	important	important	ADJ
cbi-52	87	20	caveats	caveat	NOUN
cbi-52	87	21	here	here	ADV
cbi-52	87	22	,	,	PUNCT
cbi-52	87	23	but	but	CCONJ
cbi-52	87	24	the	the	DET
cbi-52	87	25	goal	goal	NOUN
cbi-52	87	26	is	be	AUX
cbi-52	87	27	to	to	PART
cbi-52	87	28	focus	focus	VERB
cbi-52	87	29	on	on	ADP
cbi-52	87	30	the	the	DET
cbi-52	87	31	philosophical	philosophical	ADJ
cbi-52	87	32	underpinnings	underpinning	NOUN
cbi-52	87	33	rather	rather	ADV
cbi-52	87	34	than	than	ADP
cbi-52	87	35	technical	technical	ADJ
cbi-52	87	36	minutiae	minutia	NOUN
cbi-52	87	37	.	.	PUNCT
cbi-52	88	1	in	in	ADP
cbi-52	88	2	any	any	DET
cbi-52	88	3	case	case	NOUN
cbi-52	88	4	,	,	PUNCT
cbi-52	88	5	for	for	SCONJ
cbi-52	88	6	this	this	PRON
cbi-52	88	7	to	to	PART
cbi-52	88	8	be	be	AUX
cbi-52	88	9	sound	sound	ADJ
cbi-52	88	10	,	,	PUNCT
cbi-52	88	11	all	all	DET
cbi-52	88	12	data	datum	NOUN
cbi-52	88	13	should	should	AUX
cbi-52	88	14	be	be	AUX
cbi-52	88	15	given	give	VERB
cbi-52	88	16	in	in	ADP
cbi-52	88	17	prefix	prefix	NOUN
cbi-52	88	18	-	-	PUNCT
cbi-52	88	19	free	free	ADJ
cbi-52	88	20	formats	format	NOUN
cbi-52	88	21	,	,	PUNCT
cbi-52	88	22	and	and	CCONJ
cbi-52	88	23	|d	|d	NOUN
cbi-52	88	24	|	|	ADV
cbi-52	88	25	will	will	AUX
cbi-52	88	26	also	also	ADV
cbi-52	88	27	have	have	VERB
cbi-52	88	28	to	to	PART
cbi-52	88	29	include	include	VERB
cbi-52	88	30	some	some	DET
cbi-52	88	31	constant	constant	ADJ
cbi-52	88	32	number	number	NOUN
cbi-52	88	33	of	of	ADP
cbi-52	88	34	bits	bit	NOUN
cbi-52	88	35	to	to	PART
cbi-52	88	36	convert	convert	VERB
cbi-52	88	37	d	d	NOUN
cbi-52	88	38	from	from	ADP
cbi-52	88	39	pure	pure	ADJ
cbi-52	88	40	data	datum	NOUN
cbi-52	88	41	into	into	ADP
cbi-52	88	42	a	a	DET
cbi-52	88	43	model	model	NOUN
cbi-52	88	44	.	.	PUNCT
cbi-52	89	1	model	model	NOUN
cbi-52	89	2	is	be	AUX
cbi-52	89	3	trained	train	VERB
cbi-52	89	4	to	to	PART
cbi-52	89	5	look	look	VERB
cbi-52	89	6	for	for	ADP
cbi-52	89	7	a	a	DET
cbi-52	89	8	final	final	ADJ
cbi-52	89	9	price	price	NOUN
cbi-52	89	10	,	,	PUNCT
cbi-52	89	11	the	the	DET
cbi-52	89	12	model	model	NOUN
cbi-52	89	13	can	can	AUX
cbi-52	89	14	not	not	PART
cbi-52	89	15	be	be	AUX
cbi-52	89	16	used	use	VERB
cbi-52	89	17	to	to	PART
cbi-52	89	18	take	take	VERB
cbi-52	89	19	a	a	DET
cbi-52	89	20	final	final	ADJ
cbi-52	89	21	price	price	NOUN
cbi-52	89	22	and	and	CCONJ
cbi-52	89	23	square	square	ADJ
cbi-52	89	24	footage	footage	NOUN
cbi-52	89	25	and	and	CCONJ
cbi-52	89	26	solve	solve	VERB
cbi-52	89	27	for	for	ADP
cbi-52	89	28	the	the	DET
cbi-52	89	29	year	year	NOUN
cbi-52	89	30	.	.	PUNCT
cbi-52	90	1	in	in	ADP
cbi-52	90	2	many	many	ADJ
cbi-52	90	3	machine	machine	NOUN
cbi-52	90	4	learning	learning	NOUN
cbi-52	90	5	systems	system	NOUN
cbi-52	90	6	,	,	PUNCT
cbi-52	90	7	you	you	PRON
cbi-52	90	8	would	would	AUX
cbi-52	90	9	have	have	VERB
cbi-52	90	10	to	to	PART
cbi-52	90	11	build	build	VERB
cbi-52	90	12	separate	separate	ADJ
cbi-52	90	13	models	model	NOUN
cbi-52	90	14	for	for	ADP
cbi-52	90	15	each	each	DET
cbi-52	90	16	direction	direction	NOUN
cbi-52	90	17	of	of	ADP
cbi-52	90	18	the	the	DET
cbi-52	90	19	data	datum	NOUN
cbi-52	90	20	.	.	PUNCT
cbi-52	91	1	therefore	therefore	ADV
cbi-52	91	2	,	,	PUNCT
cbi-52	91	3	for	for	ADP
cbi-52	91	4	an	an	DET
cbi-52	91	5	n	n	ADV
cbi-52	91	6	-	-	PUNCT
cbi-52	91	7	dimensional	dimensional	ADJ
cbi-52	91	8	system	system	NOUN
cbi-52	91	9	,	,	PUNCT
cbi-52	91	10	you	you	PRON
cbi-52	91	11	would	would	AUX
cbi-52	91	12	need	need	VERB
cbi-52	91	13	n	n	NOUN
cbi-52	91	14	models	model	NOUN
cbi-52	91	15	of	of	ADP
cbi-52	91	16	the	the	DET
cbi-52	91	17	training	training	NOUN
cbi-52	91	18	data	datum	NOUN
cbi-52	91	19	in	in	ADP
cbi-52	91	20	order	order	NOUN
cbi-52	91	21	to	to	PART
cbi-52	91	22	match	match	VERB
cbi-52	91	23	the	the	DET
cbi-52	91	24	original	original	ADJ
cbi-52	91	25	success	success	NOUN
cbi-52	91	26	of	of	ADP
cbi-52	91	27	the	the	DET
cbi-52	91	28	data	data	NOUN
cbi-52	91	29	points	point	NOUN
cbi-52	91	30	.	.	PUNCT
cbi-52	92	1	this	this	PRON
cbi-52	92	2	means	mean	VERB
cbi-52	92	3	that	that	SCONJ
cbi-52	92	4	we	we	PRON
cbi-52	92	5	need	need	VERB
cbi-52	92	6	to	to	PART
cbi-52	92	7	modify	modify	VERB
cbi-52	92	8	(	(	PUNCT
cbi-52	92	9	5	5	NUM
cbi-52	92	10	)	)	PUNCT
cbi-52	92	11	in	in	ADP
cbi-52	92	12	order	order	NOUN
cbi-52	92	13	to	to	PART
cbi-52	92	14	account	account	VERB
cbi-52	92	15	for	for	ADP
cbi-52	92	16	this	this	PRON
cbi-52	92	17	.	.	PUNCT
cbi-52	93	1	for	for	ADP
cbi-52	93	2	a	a	DET
cbi-52	93	3	simple	simple	ADJ
cbi-52	93	4	version	version	NOUN
cbi-52	93	5	,	,	PUNCT
cbi-52	93	6	you	you	PRON
cbi-52	93	7	can	can	AUX
cbi-52	93	8	simply	simply	ADV
cbi-52	93	9	divide	divide	VERB
cbi-52	93	10	|d	|d	NOUN
cbi-52	93	11	|	|	ADV
cbi-52	93	12	by	by	ADP
cbi-52	93	13	the	the	DET
cbi-52	93	14	number	number	NOUN
cbi-52	93	15	of	of	ADP
cbi-52	93	16	dimensions	dimension	NOUN
cbi-52	93	17	,	,	PUNCT
cbi-52	93	18	which	which	PRON
cbi-52	93	19	would	would	AUX
cbi-52	93	20	lead	lead	VERB
cbi-52	93	21	to	to	ADP
cbi-52	93	22	ig	ig	PROPN
cbi-52	93	23	=	=	NOUN
cbi-52	93	24	|d	|d	NOUN
cbi-52	93	25	|	|	ADV
cbi-52	93	26	n	n	CCONJ
cbi-52	93	27	−	−	PROPN
cbi-52	93	28	|m	|m	NOUN
cbi-52	93	29	|	|	ADV
cbi-52	93	30	.	.	PUNCT
cbi-52	94	1	(	(	PUNCT
cbi-52	94	2	6	6	NUM
cbi-52	94	3	)	)	PUNCT
cbi-52	94	4	however	however	ADV
cbi-52	94	5	,	,	PUNCT
cbi-52	94	6	more	more	ADV
cbi-52	94	7	specifically	specifically	ADV
cbi-52	94	8	,	,	PUNCT
cbi-52	94	9	you	you	PRON
cbi-52	94	10	can	can	AUX
cbi-52	94	11	think	think	VERB
cbi-52	94	12	of	of	ADP
cbi-52	94	13	the	the	DET
cbi-52	94	14	dataset	dataset	NOUN
cbi-52	94	15	itself	itself	PRON
cbi-52	94	16	divided	divide	VERB
cbi-52	94	17	by	by	ADP
cbi-52	94	18	dimensions	dimension	NOUN
cbi-52	94	19	,	,	PUNCT
cbi-52	94	20	where	where	SCONJ
cbi-52	94	21	each	each	DET
cbi-52	94	22	dimension	dimension	NOUN
cbi-52	94	23	has	have	VERB
cbi-52	94	24	its	its	PRON
cbi-52	94	25	own	own	ADJ
cbi-52	94	26	size	size	NOUN
cbi-52	94	27	specification	specification	NOUN
cbi-52	94	28	.	.	PUNCT
cbi-52	95	1	therefore	therefore	ADV
cbi-52	95	2	,	,	PUNCT
cbi-52	95	3	in	in	ADP
cbi-52	95	4	most	most	ADJ
cbi-52	95	5	machine	machine	NOUN
cbi-52	95	6	learning	learning	NOUN
cbi-52	95	7	systems	system	NOUN
cbi-52	95	8	,	,	PUNCT
cbi-52	95	9	the	the	DET
cbi-52	95	10	model	model	NOUN
cbi-52	95	11	is	be	AUX
cbi-52	95	12	only	only	ADV
cbi-52	95	13	able	able	ADJ
cbi-52	95	14	to	to	PART
cbi-52	95	15	output	output	VERB
cbi-52	95	16	a	a	DET
cbi-52	95	17	single	single	ADJ
cbi-52	95	18	dimension	dimension	NOUN
cbi-52	95	19	,	,	PUNCT
cbi-52	95	20	which	which	PRON
cbi-52	95	21	we	we	PRON
cbi-52	95	22	can	can	AUX
cbi-52	95	23	consider	consider	VERB
cbi-52	95	24	the	the	DET
cbi-52	95	25	“	"	PUNCT
cbi-52	95	26	output	output	NOUN
cbi-52	95	27	”	"	PUNCT
cbi-52	95	28	dimension	dimension	NOUN
cbi-52	95	29	.	.	PUNCT
cbi-52	96	1	therefore	therefore	ADV
cbi-52	96	2	,	,	PUNCT
cbi-52	96	3	we	we	PRON
cbi-52	96	4	can	can	AUX
cbi-52	96	5	be	be	AUX
cbi-52	96	6	even	even	ADV
cbi-52	96	7	more	more	ADV
cbi-52	96	8	explicit	explicit	ADJ
cbi-52	96	9	about	about	ADP
cbi-52	96	10	the	the	DET
cbi-52	96	11	model	model	NOUN
cbi-52	96	12	size	size	NOUN
cbi-52	96	13	based	base	VERB
cbi-52	96	14	on	on	ADP
cbi-52	96	15	this	this	DET
cbi-52	96	16	dimension	dimension	NOUN
cbi-52	96	17	,	,	PUNCT
cbi-52	96	18	yielding	yield	VERB
cbi-52	96	19	ig	ig	PRON
cbi-52	96	20	=	=	PRON
cbi-52	96	21	|dout	|dout	NOUN
cbi-52	96	22	|	|	ADV
cbi-52	96	23	−	−	NOUN
cbi-52	96	24	|m	|m	NOUN
cbi-52	96	25	|	|	ADV
cbi-52	96	26	.	.	PUNCT
cbi-52	97	1	(	(	PUNCT
cbi-52	97	2	7	7	X
cbi-52	97	3	)	)	PUNCT
cbi-52	97	4	7	7	NUM
cbi-52	97	5	dealing	deal	VERB
cbi-52	97	6	with	with	ADP
cbi-52	97	7	fuzzier	fuzzy	ADJ
cbi-52	97	8	models	model	NOUN
cbi-52	97	9	not	not	PART
cbi-52	97	10	every	every	DET
cbi-52	97	11	model	model	NOUN
cbi-52	97	12	is	be	AUX
cbi-52	97	13	an	an	DET
cbi-52	97	14	exact	exact	ADJ
cbi-52	97	15	fit	fit	NOUN
cbi-52	97	16	for	for	ADP
cbi-52	97	17	data	datum	NOUN
cbi-52	97	18	.	.	PUNCT
cbi-52	98	1	however	however	ADV
cbi-52	98	2	,	,	PUNCT
cbi-52	98	3	not	not	PART
cbi-52	98	4	every	every	DET
cbi-52	98	5	model	model	NOUN
cbi-52	98	6	needs	need	VERB
cbi-52	98	7	to	to	PART
cbi-52	98	8	be	be	AUX
cbi-52	98	9	an	an	DET
cbi-52	98	10	exact	exact	ADJ
cbi-52	98	11	fit	fit	NOUN
cbi-52	98	12	.	.	PUNCT
cbi-52	99	1	if	if	SCONJ
cbi-52	99	2	the	the	DET
cbi-52	99	3	goal	goal	NOUN
cbi-52	99	4	is	be	AUX
cbi-52	99	5	to	to	PART
cbi-52	99	6	avoid	avoid	VERB
cbi-52	99	7	modeling	modeling	NOUN
cbi-52	99	8	noise	noise	NOUN
cbi-52	99	9	,	,	PUNCT
cbi-52	99	10	then	then	ADV
cbi-52	99	11	some	some	DET
cbi-52	99	12	amount	amount	NOUN
cbi-52	99	13	of	of	ADP
cbi-52	99	14	discrepancy	discrepancy	NOUN
cbi-52	99	15	between	between	ADP
cbi-52	99	16	model	model	NOUN
cbi-52	99	17	and	and	CCONJ
cbi-52	99	18	data	datum	NOUN
cbi-52	99	19	needs	need	VERB
cbi-52	99	20	to	to	PART
cbi-52	99	21	be	be	AUX
cbi-52	99	22	allowed	allow	VERB
cbi-52	99	23	for	for	ADP
cbi-52	99	24	.	.	PUNCT
cbi-52	100	1	the	the	DET
cbi-52	100	2	goal	goal	NOUN
cbi-52	100	3	,	,	PUNCT
cbi-52	100	4	then	then	ADV
cbi-52	100	5	is	be	AUX
cbi-52	100	6	to	to	PART
cbi-52	100	7	transform	transform	VERB
cbi-52	100	8	the	the	DET
cbi-52	100	9	ideas	idea	NOUN
cbi-52	100	10	present	present	ADJ
cbi-52	100	11	in	in	ADP
cbi-52	100	12	(	(	PUNCT
cbi-52	100	13	5	5	NUM
cbi-52	100	14	)	)	PUNCT
cbi-52	100	15	and	and	CCONJ
cbi-52	100	16	(	(	PUNCT
cbi-52	100	17	7	7	X
cbi-52	100	18	)	)	PUNCT
cbi-52	100	19	so	so	SCONJ
cbi-52	100	20	that	that	SCONJ
cbi-52	100	21	they	they	PRON
cbi-52	100	22	continue	continue	VERB
cbi-52	100	23	to	to	PART
cbi-52	100	24	apply	apply	VERB
cbi-52	100	25	to	to	ADP
cbi-52	100	26	noisy	noisy	ADJ
cbi-52	100	27	data	datum	NOUN
cbi-52	100	28	.	.	PUNCT
cbi-52	101	1	active	active	ADJ
cbi-52	101	2	information	information	NOUN
cbi-52	101	3	is	be	AUX
cbi-52	101	4	a	a	DET
cbi-52	101	5	simple	simple	ADJ
cbi-52	101	6	and	and	CCONJ
cbi-52	101	7	straightforward	straightforward	ADJ
cbi-52	101	8	way	way	NOUN
cbi-52	101	9	to	to	PART
cbi-52	101	10	measure	measure	VERB
cbi-52	101	11	the	the	DET
cbi-52	101	12	amount	amount	NOUN
cbi-52	101	13	of	of	ADP
cbi-52	101	14	information	information	NOUN
cbi-52	101	15	that	that	PRON
cbi-52	101	16	a	a	DET
cbi-52	101	17	model	model	NOUN
cbi-52	101	18	models	model	NOUN
cbi-52	101	19	(	(	PUNCT
cbi-52	101	20	dembski	dembski	NOUN
cbi-52	101	21	and	and	CCONJ
cbi-52	101	22	marks	mark	NOUN
cbi-52	101	23	ii	ii	PROPN
cbi-52	101	24	,	,	PUNCT
cbi-52	101	25	2009	2009	NUM
cbi-52	101	26	)	)	PUNCT
cbi-52	101	27	.	.	PUNCT
cbi-52	102	1	first	first	ADV
cbi-52	102	2	we	we	PRON
cbi-52	102	3	will	will	AUX
cbi-52	102	4	understand	understand	VERB
cbi-52	102	5	active	active	ADJ
cbi-52	102	6	information	information	NOUN
cbi-52	102	7	on	on	ADP
cbi-52	102	8	its	its	PRON
cbi-52	102	9	own	own	ADJ
cbi-52	102	10	,	,	PUNCT
cbi-52	102	11	original	original	ADJ
cbi-52	102	12	terms	term	NOUN
cbi-52	102	13	,	,	PUNCT
cbi-52	102	14	and	and	CCONJ
cbi-52	102	15	then	then	ADV
cbi-52	102	16	we	we	PRON
cbi-52	102	17	will	will	AUX
cbi-52	102	18	apply	apply	VERB
cbi-52	102	19	this	this	PRON
cbi-52	102	20	to	to	ADP
cbi-52	102	21	the	the	DET
cbi-52	102	22	study	study	NOUN
cbi-52	102	23	of	of	ADP
cbi-52	102	24	generalized	generalized	ADJ
cbi-52	102	25	information	information	NOUN
cbi-52	102	26	.	.	PUNCT
cbi-52	103	1	7.1	7.1	NUM
cbi-52	103	2	active	active	ADJ
cbi-52	103	3	information	information	NOUN
cbi-52	103	4	basics	basic	NOUN
cbi-52	103	5	imagine	imagine	VERB
cbi-52	103	6	that	that	SCONJ
cbi-52	103	7	we	we	PRON
cbi-52	103	8	are	be	AUX
cbi-52	103	9	looking	look	VERB
cbi-52	103	10	for	for	ADP
cbi-52	103	11	a	a	DET
cbi-52	103	12	particular	particular	ADJ
cbi-52	103	13	card	card	NOUN
cbi-52	103	14	in	in	ADP
cbi-52	103	15	a	a	DET
cbi-52	103	16	standard	standard	ADJ
cbi-52	103	17	deck	deck	NOUN
cbi-52	103	18	—	—	PUNCT
cbi-52	103	19	we’ll	we’ll	NOUN
cbi-52	103	20	use	use	VERB
cbi-52	103	21	the	the	DET
cbi-52	103	22	king	king	NOUN
cbi-52	103	23	of	of	ADP
cbi-52	103	24	diamonds	diamond	NOUN
cbi-52	103	25	for	for	ADP
cbi-52	103	26	this	this	DET
cbi-52	103	27	example	example	NOUN
cbi-52	103	28	.	.	PUNCT
cbi-52	104	1	active	active	ADJ
cbi-52	104	2	information	information	NOUN
cbi-52	104	3	says	say	VERB
cbi-52	104	4	that	that	SCONJ
cbi-52	104	5	the	the	DET
cbi-52	104	6	endogenous	endogenous	ADJ
cbi-52	104	7	information	information	NOUN
cbi-52	104	8	(	(	PUNCT
cbi-52	104	9	iω	iω	X
cbi-52	104	10	)	)	PUNCT
cbi-52	104	11	is	be	AUX
cbi-52	104	12	the	the	DET
cbi-52	104	13	probability	probability	NOUN
cbi-52	104	14	that	that	SCONJ
cbi-52	104	15	we	we	PRON
cbi-52	104	16	will	will	AUX
cbi-52	104	17	find	find	VERB
cbi-52	104	18	the	the	DET
cbi-52	104	19	card	card	NOUN
cbi-52	104	20	by	by	ADP
cbi-52	104	21	random	random	ADJ
cbi-52	104	22	guessing	guessing	NOUN
cbi-52	104	23	,	,	PUNCT
cbi-52	104	24	expressed	express	VERB
cbi-52	104	25	in	in	ADP
cbi-52	104	26	bits.3	bits.3	NOUN
cbi-52	104	27	the	the	DET
cbi-52	104	28	probability	probability	NOUN
cbi-52	104	29	for	for	ADP
cbi-52	104	30	finding	find	VERB
cbi-52	104	31	the	the	DET
cbi-52	104	32	king	king	NOUN
cbi-52	104	33	of	of	ADP
cbi-52	104	34	diamonds	diamond	NOUN
cbi-52	104	35	in	in	ADP
cbi-52	104	36	a	a	DET
cbi-52	104	37	deck	deck	NOUN
cbi-52	104	38	in	in	ADP
cbi-52	104	39	a	a	DET
cbi-52	104	40	single	single	ADJ
cbi-52	104	41	random	random	ADJ
cbi-52	104	42	guess	guess	NOUN
cbi-52	104	43	is	be	AUX
cbi-52	104	44	1	1	NUM
cbi-52	104	45	52	52	NUM
cbi-52	104	46	,	,	PUNCT
cbi-52	104	47	which	which	PRON
cbi-52	104	48	is	be	AUX
cbi-52	104	49	approximately	approximately	ADV
cbi-52	104	50	5.7	5.7	NUM
cbi-52	104	51	bits	bit	NOUN
cbi-52	104	52	.	.	PUNCT
cbi-52	105	1	3if	3if	NOUN
cbi-52	105	2	p	p	NOUN
cbi-52	105	3	is	be	AUX
cbi-52	105	4	the	the	DET
cbi-52	105	5	probability	probability	NOUN
cbi-52	105	6	,	,	PUNCT
cbi-52	105	7	−	−	PROPN
cbi-52	105	8	log2	log2	PROPN
cbi-52	105	9	(	(	PUNCT
cbi-52	105	10	p	p	NOUN
cbi-52	105	11	)	)	PUNCT
cbi-52	105	12	is	be	AUX
cbi-52	105	13	the	the	DET
cbi-52	105	14	probability	probability	NOUN
cbi-52	105	15	expressed	express	VERB
cbi-52	105	16	in	in	ADP
cbi-52	105	17	bits	bit	NOUN
cbi-52	105	18	.	.	PUNCT
cbi-52	106	1	volume	volume	NOUN
cbi-52	106	2	1	1	NUM
cbi-52	106	3	,	,	PUNCT
cbi-52	106	4	issue	issue	NOUN
cbi-52	106	5	2	2	NUM
cbi-52	106	6	8	8	NUM
cbi-52	106	7	.	.	PUNCT
cbi-52	107	1	a	a	DET
cbi-52	107	2	simplified	simplified	ADJ
cbi-52	107	3	example	example	NOUN
cbi-52	107	4	and	and	CCONJ
cbi-52	107	5	application	application	NOUN
cbi-52	107	6	17	17	NUM
cbi-52	107	7	now	now	ADV
cbi-52	107	8	,	,	PUNCT
cbi-52	107	9	let	let	VERB
cbi-52	107	10	’s	’s	PRON
cbi-52	107	11	say	say	VERB
cbi-52	107	12	that	that	SCONJ
cbi-52	107	13	someone	someone	PRON
cbi-52	107	14	has	have	VERB
cbi-52	107	15	outside	outside	ADJ
cbi-52	107	16	knowledge	knowledge	NOUN
cbi-52	107	17	of	of	ADP
cbi-52	107	18	how	how	SCONJ
cbi-52	107	19	this	this	DET
cbi-52	107	20	particular	particular	ADJ
cbi-52	107	21	card	card	NOUN
cbi-52	107	22	deck	deck	NOUN
cbi-52	107	23	is	be	AUX
cbi-52	107	24	organized	organize	VERB
cbi-52	107	25	.	.	PUNCT
cbi-52	108	1	they	they	PRON
cbi-52	108	2	tell	tell	VERB
cbi-52	108	3	you	you	PRON
cbi-52	108	4	(	(	PUNCT
cbi-52	108	5	correctly	correctly	ADV
cbi-52	108	6	)	)	PUNCT
cbi-52	108	7	that	that	SCONJ
cbi-52	108	8	the	the	DET
cbi-52	108	9	king	king	NOUN
cbi-52	108	10	of	of	ADP
cbi-52	108	11	diamonds	diamond	NOUN
cbi-52	108	12	is	be	AUX
cbi-52	108	13	one	one	NUM
cbi-52	108	14	of	of	ADP
cbi-52	108	15	the	the	DET
cbi-52	108	16	first	first	ADJ
cbi-52	108	17	four	four	NUM
cbi-52	108	18	cards	card	NOUN
cbi-52	108	19	.	.	PUNCT
cbi-52	109	1	now	now	ADV
cbi-52	109	2	,	,	PUNCT
cbi-52	109	3	we	we	PRON
cbi-52	109	4	can	can	AUX
cbi-52	109	5	create	create	VERB
cbi-52	109	6	a	a	DET
cbi-52	109	7	directed	direct	VERB
cbi-52	109	8	search	search	NOUN
cbi-52	109	9	that	that	PRON
cbi-52	109	10	picks	pick	VERB
cbi-52	109	11	one	one	NUM
cbi-52	109	12	of	of	ADP
cbi-52	109	13	the	the	DET
cbi-52	109	14	first	first	ADJ
cbi-52	109	15	four	four	NUM
cbi-52	109	16	cards	card	NOUN
cbi-52	109	17	at	at	ADP
cbi-52	109	18	random	random	ADJ
cbi-52	109	19	.	.	PUNCT
cbi-52	110	1	this	this	DET
cbi-52	110	2	new	new	ADJ
cbi-52	110	3	search	search	NOUN
cbi-52	110	4	probability	probability	NOUN
cbi-52	110	5	,	,	PUNCT
cbi-52	110	6	termed	term	VERB
cbi-52	110	7	exogenous	exogenous	ADJ
cbi-52	110	8	information	information	NOUN
cbi-52	110	9	(	(	PUNCT
cbi-52	110	10	is	be	AUX
cbi-52	110	11	)	)	PUNCT
cbi-52	110	12	is	be	AUX
cbi-52	110	13	1	1	NUM
cbi-52	110	14	4	4	NUM
cbi-52	110	15	,	,	PUNCT
cbi-52	110	16	which	which	PRON
cbi-52	110	17	is	be	AUX
cbi-52	110	18	2	2	NUM
cbi-52	110	19	bits	bit	NOUN
cbi-52	110	20	.	.	PUNCT
cbi-52	111	1	the	the	DET
cbi-52	111	2	active	active	ADJ
cbi-52	111	3	information	information	NOUN
cbi-52	111	4	(	(	PUNCT
cbi-52	111	5	i+	i+	X
cbi-52	111	6	)	)	PUNCT
cbi-52	111	7	is	be	AUX
cbi-52	111	8	the	the	DET
cbi-52	111	9	amount	amount	NOUN
cbi-52	111	10	of	of	ADP
cbi-52	111	11	information	information	NOUN
cbi-52	111	12	that	that	PRON
cbi-52	111	13	my	my	PRON
cbi-52	111	14	search	search	NOUN
cbi-52	111	15	strategy	strategy	NOUN
cbi-52	111	16	applies	apply	VERB
cbi-52	111	17	to	to	ADP
cbi-52	111	18	the	the	DET
cbi-52	111	19	problem	problem	NOUN
cbi-52	111	20	at	at	ADP
cbi-52	111	21	hand	hand	NOUN
cbi-52	111	22	.	.	PUNCT
cbi-52	112	1	active	active	ADJ
cbi-52	112	2	information	information	NOUN
cbi-52	112	3	is	be	AUX
cbi-52	112	4	given	give	VERB
cbi-52	112	5	simply	simply	ADV
cbi-52	112	6	as	as	ADP
cbi-52	112	7	i+	i+	NOUN
cbi-52	112	8	=	=	NOUN
cbi-52	112	9	iω	iω	NOUN
cbi-52	112	10	−	−	PROPN
cbi-52	112	11	is	be	AUX
cbi-52	112	12	(	(	PUNCT
cbi-52	112	13	8)	8)	NUM
cbi-52	112	14	if	if	SCONJ
cbi-52	112	15	active	active	ADJ
cbi-52	112	16	information	information	NOUN
cbi-52	112	17	is	be	AUX
cbi-52	112	18	positive	positive	ADJ
cbi-52	112	19	,	,	PUNCT
cbi-52	112	20	then	then	ADV
cbi-52	112	21	the	the	DET
cbi-52	112	22	search	search	NOUN
cbi-52	112	23	strategy	strategy	NOUN
cbi-52	112	24	is	be	AUX
cbi-52	112	25	helping	help	VERB
cbi-52	112	26	you	you	PRON
cbi-52	112	27	,	,	PUNCT
cbi-52	112	28	but	but	CCONJ
cbi-52	112	29	if	if	SCONJ
cbi-52	112	30	active	active	ADJ
cbi-52	112	31	information	information	NOUN
cbi-52	112	32	is	be	AUX
cbi-52	112	33	negative	negative	ADJ
cbi-52	112	34	,	,	PUNCT
cbi-52	112	35	then	then	ADV
cbi-52	112	36	the	the	DET
cbi-52	112	37	search	search	NOUN
cbi-52	112	38	strategy	strategy	NOUN
cbi-52	112	39	is	be	AUX
cbi-52	112	40	hurting	hurt	VERB
cbi-52	112	41	you	you	PRON
cbi-52	112	42	.	.	PUNCT
cbi-52	113	1	7.2	7.2	NUM
cbi-52	113	2	bitwise	bitwise	ADV
cbi-52	113	3	active	active	ADJ
cbi-52	113	4	information	information	NOUN
cbi-52	113	5	active	active	ADJ
cbi-52	113	6	information	information	NOUN
cbi-52	113	7	is	be	AUX
cbi-52	113	8	normally	normally	ADV
cbi-52	113	9	applied	apply	VERB
cbi-52	113	10	to	to	PART
cbi-52	113	11	complete	complete	ADJ
cbi-52	113	12	results	result	NOUN
cbi-52	113	13	—	—	PUNCT
cbi-52	113	14	that	that	ADV
cbi-52	113	15	is	is	ADV
cbi-52	113	16	,	,	PUNCT
cbi-52	113	17	the	the	DET
cbi-52	113	18	chance	chance	NOUN
cbi-52	113	19	of	of	ADP
cbi-52	113	20	guessing	guess	VERB
cbi-52	113	21	a	a	DET
cbi-52	113	22	number	number	NOUN
cbi-52	113	23	correctly	correctly	ADV
cbi-52	113	24	,	,	PUNCT
cbi-52	113	25	or	or	CCONJ
cbi-52	113	26	guessing	guess	VERB
cbi-52	113	27	a	a	DET
cbi-52	113	28	number	number	NOUN
cbi-52	113	29	within	within	ADP
cbi-52	113	30	a	a	DET
cbi-52	113	31	boundary	boundary	NOUN
cbi-52	113	32	of	of	ADP
cbi-52	113	33	error	error	NOUN
cbi-52	113	34	,	,	PUNCT
cbi-52	113	35	etc	etc	X
cbi-52	113	36	.	.	X
cbi-52	113	37	however	however	ADV
cbi-52	113	38	,	,	PUNCT
cbi-52	113	39	active	active	ADJ
cbi-52	113	40	information	information	NOUN
cbi-52	113	41	can	can	AUX
cbi-52	113	42	also	also	ADV
cbi-52	113	43	be	be	AUX
cbi-52	113	44	applied	apply	VERB
cbi-52	113	45	in	in	ADP
cbi-52	113	46	a	a	DET
cbi-52	113	47	bitwise	bitwise	NOUN
cbi-52	113	48	manner	manner	NOUN
cbi-52	113	49	by	by	ADP
cbi-52	113	50	simply	simply	ADV
cbi-52	113	51	applying	apply	VERB
cbi-52	113	52	active	active	ADJ
cbi-52	113	53	information	information	NOUN
cbi-52	113	54	to	to	ADP
cbi-52	113	55	the	the	DET
cbi-52	113	56	probability	probability	NOUN
cbi-52	113	57	of	of	ADP
cbi-52	113	58	guessing	guess	VERB
cbi-52	113	59	each	each	DET
cbi-52	113	60	bit	bit	NOUN
cbi-52	113	61	correctly	correctly	ADV
cbi-52	113	62	.	.	PUNCT
cbi-52	114	1	therefore	therefore	ADV
cbi-52	114	2	,	,	PUNCT
cbi-52	114	3	if	if	SCONJ
cbi-52	114	4	we	we	PRON
cbi-52	114	5	have	have	VERB
cbi-52	114	6	a	a	DET
cbi-52	114	7	target	target	NOUN
cbi-52	114	8	bitstring	bitstring	NOUN
cbi-52	114	9	of	of	ADP
cbi-52	114	10	01001100101	01001100101	NUM
cbi-52	114	11	,	,	PUNCT
cbi-52	114	12	we	we	PRON
cbi-52	114	13	can	can	AUX
cbi-52	114	14	measure	measure	VERB
cbi-52	114	15	the	the	DET
cbi-52	114	16	amount	amount	NOUN
cbi-52	114	17	of	of	ADP
cbi-52	114	18	active	active	ADJ
cbi-52	114	19	information	information	NOUN
cbi-52	114	20	in	in	ADP
cbi-52	114	21	a	a	DET
cbi-52	114	22	generated	generate	VERB
cbi-52	114	23	bitstring	bitstring	NOUN
cbi-52	114	24	01001100111	01001100111	NUM
cbi-52	114	25	.	.	PUNCT
cbi-52	115	1	the	the	DET
cbi-52	115	2	endogenous	endogenous	ADJ
cbi-52	115	3	information	information	NOUN
cbi-52	115	4	present	present	ADJ
cbi-52	115	5	in	in	ADP
cbi-52	115	6	the	the	DET
cbi-52	115	7	first	first	ADJ
cbi-52	115	8	bitstring	bitstring	NOUN
cbi-52	115	9	is	be	AUX
cbi-52	115	10	simply	simply	ADV
cbi-52	115	11	the	the	DET
cbi-52	115	12	number	number	NOUN
cbi-52	115	13	of	of	ADP
cbi-52	115	14	bits—11	bits—11	NOUN
cbi-52	115	15	bits	bit	NOUN
cbi-52	115	16	(	(	PUNCT
cbi-52	115	17	i.e.	i.e.	X
cbi-52	115	18	,	,	PUNCT
cbi-52	115	19	−	−	PROPN
cbi-52	115	20	log2	log2	PROPN
cbi-52	115	21	!	!	PUNCT
cbi-52	115	22	"	"	PUNCT
cbi-52	116	1	1	1	NUM
cbi-52	116	2	2	2	NUM
cbi-52	116	3	#	#	SYM
cbi-52	116	4	11	11	NUM
cbi-52	116	5	$	$	NUM
cbi-52	116	6	)	)	PUNCT
cbi-52	116	7	.	.	PUNCT
cbi-52	117	1	the	the	DET
cbi-52	117	2	exogenous	exogenous	ADJ
cbi-52	117	3	information	information	NOUN
cbi-52	117	4	present	present	ADJ
cbi-52	117	5	in	in	ADP
cbi-52	117	6	the	the	DET
cbi-52	117	7	algorithm	algorithm	NOUN
cbi-52	117	8	that	that	PRON
cbi-52	117	9	generated	generate	VERB
cbi-52	117	10	the	the	DET
cbi-52	117	11	second	second	ADJ
cbi-52	117	12	bitstring	bitstring	NOUN
cbi-52	117	13	can	can	AUX
cbi-52	117	14	be	be	AUX
cbi-52	117	15	found	find	VERB
cbi-52	117	16	by	by	ADP
cbi-52	117	17	first	first	ADV
cbi-52	117	18	looking	look	VERB
cbi-52	117	19	at	at	ADP
cbi-52	117	20	the	the	DET
cbi-52	117	21	probability	probability	NOUN
cbi-52	117	22	.	.	PUNCT
cbi-52	118	1	the	the	DET
cbi-52	118	2	second	second	ADJ
cbi-52	118	3	bitstring	bitstring	NOUN
cbi-52	118	4	hit	hit	VERB
cbi-52	118	5	the	the	DET
cbi-52	118	6	target	target	NOUN
cbi-52	118	7	10	10	NUM
cbi-52	118	8	11	11	NUM
cbi-52	118	9	times	time	NOUN
cbi-52	118	10	.	.	PUNCT
cbi-52	119	1	therefore	therefore	ADV
cbi-52	119	2	,	,	PUNCT
cbi-52	119	3	the	the	DET
cbi-52	119	4	exogenous	exogenous	ADJ
cbi-52	119	5	information	information	NOUN
cbi-52	119	6	is	be	AUX
cbi-52	119	7	−	−	PROPN
cbi-52	119	8	log2	log2	NOUN
cbi-52	119	9	!	!	PUNCT
cbi-52	119	10	"	"	PUNCT
cbi-52	120	1	10	10	NUM
cbi-52	120	2	11	11	NUM
cbi-52	120	3	#	#	SYM
cbi-52	120	4	11	11	NUM
cbi-52	120	5	$	$	SYM
cbi-52	120	6	=	=	SYM
cbi-52	120	7	1.5	1.5	NUM
cbi-52	120	8	bits	bit	NOUN
cbi-52	120	9	.	.	PUNCT
cbi-52	121	1	therefore	therefore	ADV
cbi-52	121	2	,	,	PUNCT
cbi-52	121	3	the	the	DET
cbi-52	121	4	active	active	ADJ
cbi-52	121	5	information	information	NOUN
cbi-52	121	6	in	in	ADP
cbi-52	121	7	the	the	DET
cbi-52	121	8	algorithm	algorithm	NOUN
cbi-52	121	9	that	that	PRON
cbi-52	121	10	generated	generate	VERB
cbi-52	121	11	the	the	DET
cbi-52	121	12	second	second	ADJ
cbi-52	121	13	bitstring	bitstring	NOUN
cbi-52	121	14	is	be	AUX
cbi-52	121	15	11	11	NUM
cbi-52	121	16	−	−	PROPN
cbi-52	121	17	1.5	1.5	NUM
cbi-52	121	18	=	=	SYM
cbi-52	121	19	9.5	9.5	NUM
cbi-52	121	20	bits	bit	NOUN
cbi-52	121	21	.	.	PUNCT
cbi-52	122	1	7.3	7.3	NUM
cbi-52	122	2	applying	apply	VERB
cbi-52	122	3	active	active	ADJ
cbi-52	122	4	information	information	NOUN
cbi-52	122	5	to	to	ADP
cbi-52	122	6	fuzzy	fuzzy	ADJ
cbi-52	122	7	models	model	NOUN
cbi-52	122	8	if	if	SCONJ
cbi-52	122	9	we	we	PRON
cbi-52	122	10	are	be	AUX
cbi-52	122	11	going	go	VERB
cbi-52	122	12	to	to	PART
cbi-52	122	13	allow	allow	VERB
cbi-52	122	14	for	for	ADP
cbi-52	122	15	models	model	NOUN
cbi-52	122	16	which	which	PRON
cbi-52	122	17	have	have	VERB
cbi-52	122	18	a	a	DET
cbi-52	122	19	fuzzy	fuzzy	ADJ
cbi-52	122	20	relationship	relationship	NOUN
cbi-52	122	21	to	to	ADP
cbi-52	122	22	the	the	DET
cbi-52	122	23	actual	actual	ADJ
cbi-52	122	24	output	output	NOUN
cbi-52	122	25	,	,	PUNCT
cbi-52	122	26	we	we	PRON
cbi-52	122	27	need	need	VERB
cbi-52	122	28	a	a	DET
cbi-52	122	29	mechanism	mechanism	NOUN
cbi-52	122	30	of	of	ADP
cbi-52	122	31	also	also	ADV
cbi-52	122	32	discounting	discount	VERB
cbi-52	122	33	the	the	DET
cbi-52	122	34	allowed	allow	VERB
cbi-52	122	35	model	model	NOUN
cbi-52	122	36	size	size	NOUN
cbi-52	122	37	.	.	PUNCT
cbi-52	123	1	active	active	ADJ
cbi-52	123	2	information	information	NOUN
cbi-52	123	3	can	can	AUX
cbi-52	123	4	be	be	AUX
cbi-52	123	5	applied	apply	VERB
cbi-52	123	6	by	by	ADP
cbi-52	123	7	reducing	reduce	VERB
cbi-52	123	8	the	the	DET
cbi-52	123	9	measured	measured	ADJ
cbi-52	123	10	size	size	NOUN
cbi-52	123	11	of	of	ADP
cbi-52	123	12	our	our	PRON
cbi-52	123	13	output	output	NOUN
cbi-52	123	14	dimension	dimension	NOUN
cbi-52	123	15	based	base	VERB
cbi-52	123	16	on	on	ADP
cbi-52	123	17	the	the	DET
cbi-52	123	18	active	active	ADJ
cbi-52	123	19	information	information	NOUN
cbi-52	123	20	in	in	ADP
cbi-52	123	21	the	the	DET
cbi-52	123	22	result	result	NOUN
cbi-52	123	23	.	.	PUNCT
cbi-52	124	1	active	active	ADJ
cbi-52	124	2	information	information	NOUN
cbi-52	124	3	can	can	AUX
cbi-52	124	4	be	be	AUX
cbi-52	124	5	applied	apply	VERB
cbi-52	124	6	to	to	ADP
cbi-52	124	7	models	model	NOUN
cbi-52	124	8	in	in	ADP
cbi-52	124	9	the	the	DET
cbi-52	124	10	following	following	ADJ
cbi-52	124	11	way	way	NOUN
cbi-52	124	12	—	—	PUNCT
cbi-52	124	13	it	it	PRON
cbi-52	124	14	is	be	AUX
cbi-52	124	15	the	the	DET
cbi-52	124	16	ability	ability	NOUN
cbi-52	124	17	for	for	ADP
cbi-52	124	18	a	a	DET
cbi-52	124	19	model	model	NOUN
cbi-52	124	20	to	to	PART
cbi-52	124	21	improve	improve	VERB
cbi-52	124	22	the	the	DET
cbi-52	124	23	guessing	guessing	NOUN
cbi-52	124	24	on	on	ADP
cbi-52	124	25	data	datum	NOUN
cbi-52	124	26	outcomes	outcome	NOUN
cbi-52	124	27	.	.	PUNCT
cbi-52	125	1	imagine	imagine	VERB
cbi-52	125	2	that	that	SCONJ
cbi-52	125	3	the	the	DET
cbi-52	125	4	outcomes	outcome	NOUN
cbi-52	125	5	of	of	ADP
cbi-52	125	6	the	the	DET
cbi-52	125	7	known	know	VERB
cbi-52	125	8	dataset	dataset	NOUN
cbi-52	125	9	were	be	AUX
cbi-52	125	10	guessed	guess	VERB
cbi-52	125	11	at.4	at.4	PROPN
cbi-52	125	12	what	what	PRON
cbi-52	125	13	is	be	AUX
cbi-52	125	14	the	the	DET
cbi-52	125	15	probability	probability	NOUN
cbi-52	125	16	of	of	ADP
cbi-52	125	17	guessing	guess	VERB
cbi-52	125	18	the	the	DET
cbi-52	125	19	results	result	NOUN
cbi-52	125	20	at	at	ADP
cbi-52	125	21	random	random	ADJ
cbi-52	125	22	?	?	PUNCT
cbi-52	126	1	this	this	PRON
cbi-52	126	2	represents	represent	VERB
cbi-52	126	3	iω	iω	PRON
cbi-52	126	4	.	.	PUNCT
cbi-52	127	1	now	now	ADV
cbi-52	127	2	,	,	PUNCT
cbi-52	127	3	imagine	imagine	VERB
cbi-52	127	4	that	that	SCONJ
cbi-52	127	5	we	we	PRON
cbi-52	127	6	use	use	VERB
cbi-52	127	7	model	model	NOUN
cbi-52	127	8	m	m	VERB
cbi-52	127	9	to	to	PART
cbi-52	127	10	improve	improve	VERB
cbi-52	127	11	our	our	PRON
cbi-52	127	12	guessing	guessing	NOUN
cbi-52	127	13	.	.	PUNCT
cbi-52	128	1	what	what	PRON
cbi-52	128	2	is	be	AUX
cbi-52	128	3	the	the	DET
cbi-52	128	4	new	new	ADJ
cbi-52	128	5	probability	probability	NOUN
cbi-52	128	6	of	of	ADP
cbi-52	128	7	guessing	guess	VERB
cbi-52	128	8	the	the	DET
cbi-52	128	9	result	result	NOUN
cbi-52	128	10	?	?	PUNCT
cbi-52	129	1	this	this	PRON
cbi-52	129	2	represents	represent	VERB
cbi-52	129	3	is	be	AUX
cbi-52	129	4	.	.	PUNCT
cbi-52	130	1	therefore	therefore	ADV
cbi-52	130	2	,	,	PUNCT
cbi-52	130	3	the	the	DET
cbi-52	130	4	amount	amount	NOUN
cbi-52	130	5	of	of	ADP
cbi-52	130	6	data	datum	NOUN
cbi-52	130	7	that	that	PRON
cbi-52	130	8	is	be	AUX
cbi-52	130	9	modeled	model	VERB
cbi-52	130	10	by	by	ADP
cbi-52	130	11	our	our	PRON
cbi-52	130	12	model	model	NOUN
cbi-52	130	13	is	be	AUX
cbi-52	130	14	the	the	DET
cbi-52	130	15	active	active	ADJ
cbi-52	130	16	information	information	NOUN
cbi-52	130	17	,	,	PUNCT
cbi-52	130	18	i+	i+	PROPN
cbi-52	130	19	.	.	PUNCT
cbi-52	131	1	when	when	SCONJ
cbi-52	131	2	using	use	VERB
cbi-52	131	3	this	this	PRON
cbi-52	131	4	for	for	ADP
cbi-52	131	5	a	a	DET
cbi-52	131	6	generalization	generalization	NOUN
cbi-52	131	7	,	,	PUNCT
cbi-52	131	8	we	we	PRON
cbi-52	131	9	only	only	ADV
cbi-52	131	10	care	care	VERB
cbi-52	131	11	about	about	ADP
cbi-52	131	12	the	the	DET
cbi-52	131	13	size	size	NOUN
cbi-52	131	14	of	of	ADP
cbi-52	131	15	the	the	DET
cbi-52	131	16	actual	actual	ADJ
cbi-52	131	17	modeled	model	VERB
cbi-52	131	18	information	information	NOUN
cbi-52	131	19	,	,	PUNCT
cbi-52	131	20	i+	i+	PROPN
cbi-52	131	21	.	.	PUNCT
cbi-52	132	1	therefore	therefore	ADV
cbi-52	132	2	,	,	PUNCT
cbi-52	132	3	we	we	PRON
cbi-52	132	4	can	can	AUX
cbi-52	132	5	use	use	VERB
cbi-52	132	6	this	this	DET
cbi-52	132	7	idea	idea	NOUN
cbi-52	132	8	to	to	PART
cbi-52	132	9	transform	transform	VERB
cbi-52	132	10	(	(	PUNCT
cbi-52	132	11	7	7	NUM
cbi-52	132	12	)	)	PUNCT
cbi-52	132	13	into	into	ADP
cbi-52	132	14	a	a	DET
cbi-52	132	15	more	more	ADV
cbi-52	132	16	nuanced	nuanced	ADJ
cbi-52	132	17	equation	equation	NOUN
cbi-52	132	18	,	,	PUNCT
cbi-52	132	19	ig	ig	PROPN
cbi-52	132	20	=	=	PROPN
cbi-52	132	21	i+	i+	NUM
cbi-52	132	22	−	−	PROPN
cbi-52	132	23	|m	|m	NOUN
cbi-52	132	24	|	|	ADV
cbi-52	132	25	(	(	PUNCT
cbi-52	132	26	9	9	X
cbi-52	132	27	)	)	PUNCT
cbi-52	132	28	we	we	PRON
cbi-52	132	29	can	can	AUX
cbi-52	132	30	see	see	VERB
cbi-52	132	31	that	that	PRON
cbi-52	132	32	,	,	PUNCT
cbi-52	132	33	for	for	ADP
cbi-52	132	34	the	the	DET
cbi-52	132	35	case	case	NOUN
cbi-52	132	36	where	where	SCONJ
cbi-52	132	37	we	we	PRON
cbi-52	132	38	have	have	VERB
cbi-52	132	39	an	an	DET
cbi-52	132	40	exact	exact	ADJ
cbi-52	132	41	model	model	NOUN
cbi-52	132	42	,	,	PUNCT
cbi-52	132	43	(	(	PUNCT
cbi-52	132	44	7	7	NUM
cbi-52	132	45	)	)	PUNCT
cbi-52	132	46	and	and	CCONJ
cbi-52	132	47	(	(	PUNCT
cbi-52	132	48	9	9	X
cbi-52	132	49	)	)	PUNCT
cbi-52	132	50	are	be	AUX
cbi-52	132	51	equivalent.5	equivalent.5	NOUN
cbi-52	132	52	if	if	SCONJ
cbi-52	132	53	our	our	PRON
cbi-52	132	54	search	search	NOUN
cbi-52	132	55	allows	allow	VERB
cbi-52	132	56	for	for	ADP
cbi-52	132	57	exact	exact	ADJ
cbi-52	132	58	guessing	guessing	NOUN
cbi-52	132	59	,	,	PUNCT
cbi-52	132	60	then	then	ADV
cbi-52	132	61	there	there	PRON
cbi-52	132	62	is	be	VERB
cbi-52	132	63	no	no	DET
cbi-52	132	64	exogenous	exogenous	ADJ
cbi-52	132	65	information	information	NOUN
cbi-52	132	66	in	in	ADP
cbi-52	132	67	the	the	DET
cbi-52	132	68	search	search	NOUN
cbi-52	132	69	.	.	PUNCT
cbi-52	133	1	in	in	ADP
cbi-52	133	2	other	other	ADJ
cbi-52	133	3	words	word	NOUN
cbi-52	133	4	,	,	PUNCT
cbi-52	133	5	is	be	AUX
cbi-52	133	6	=	=	ADJ
cbi-52	133	7	0	0	NUM
cbi-52	133	8	.	.	PUNCT
cbi-52	134	1	therefore	therefore	ADV
cbi-52	134	2	,	,	PUNCT
cbi-52	134	3	all	all	PRON
cbi-52	134	4	that	that	PRON
cbi-52	134	5	is	be	AUX
cbi-52	134	6	left	leave	VERB
cbi-52	134	7	is	be	AUX
cbi-52	134	8	iω	iω	NOUN
cbi-52	134	9	,	,	PUNCT
cbi-52	134	10	which	which	PRON
cbi-52	134	11	,	,	PUNCT
cbi-52	134	12	with	with	ADP
cbi-52	134	13	only	only	ADV
cbi-52	134	14	guessing	guess	VERB
cbi-52	134	15	,	,	PUNCT
cbi-52	134	16	is	be	AUX
cbi-52	134	17	the	the	DET
cbi-52	134	18	size	size	NOUN
cbi-52	134	19	in	in	ADP
cbi-52	134	20	bits	bit	NOUN
cbi-52	134	21	of	of	ADP
cbi-52	134	22	the	the	DET
cbi-52	134	23	data	datum	NOUN
cbi-52	134	24	.	.	PUNCT
cbi-52	135	1	therefore	therefore	ADV
cbi-52	135	2	,	,	PUNCT
cbi-52	135	3	iω	iω	NOUN
cbi-52	135	4	will	will	AUX
cbi-52	135	5	be	be	AUX
cbi-52	135	6	the	the	DET
cbi-52	135	7	size	size	NOUN
cbi-52	135	8	of	of	ADP
cbi-52	135	9	the	the	DET
cbi-52	135	10	data	datum	NOUN
cbi-52	135	11	itself	itself	PRON
cbi-52	135	12	(	(	PUNCT
cbi-52	135	13	at	at	ADP
cbi-52	135	14	least	least	ADJ
cbi-52	135	15	in	in	ADP
cbi-52	135	16	the	the	DET
cbi-52	135	17	output	output	NOUN
cbi-52	135	18	dimension	dimension	NOUN
cbi-52	135	19	)	)	PUNCT
cbi-52	135	20	.	.	PUNCT
cbi-52	136	1	for	for	ADP
cbi-52	136	2	reversible	reversible	ADJ
cbi-52	136	3	models	model	NOUN
cbi-52	136	4	of	of	ADP
cbi-52	136	5	n	n	DET
cbi-52	136	6	dimensions	dimension	NOUN
cbi-52	136	7	,	,	PUNCT
cbi-52	136	8	the	the	DET
cbi-52	136	9	active	active	ADJ
cbi-52	136	10	information	information	NOUN
cbi-52	136	11	from	from	ADP
cbi-52	136	12	each	each	DET
cbi-52	136	13	dimension	dimension	NOUN
cbi-52	136	14	can	can	AUX
cbi-52	136	15	be	be	AUX
cbi-52	136	16	summed	sum	VERB
cbi-52	136	17	up	up	ADP
cbi-52	136	18	for	for	ADP
cbi-52	136	19	a	a	DET
cbi-52	136	20	total	total	ADJ
cbi-52	136	21	model	model	NOUN
cbi-52	136	22	size	size	NOUN
cbi-52	136	23	,	,	PUNCT
cbi-52	136	24	yielding	yield	VERB
cbi-52	136	25	ig	ig	PRON
cbi-52	136	26	=	=	PUNCT
cbi-52	136	27	!	!	PUNCT
cbi-52	136	28	"	"	PUNCT
cbi-52	137	1	%	%	INTJ
cbi-52	137	2	x∈n	x∈n	PROPN
cbi-52	138	1	i+	i+	PROPN
cbi-52	139	1	(	(	PUNCT
cbi-52	139	2	x)#$	x)#$	PROPN
cbi-52	139	3	−	−	PROPN
cbi-52	139	4	|m	|m	NOUN
cbi-52	139	5	|	|	ADV
cbi-52	139	6	.	.	PUNCT
cbi-52	140	1	(	(	PUNCT
cbi-52	140	2	10	10	NUM
cbi-52	140	3	)	)	PUNCT
cbi-52	140	4	8	8	NUM
cbi-52	140	5	a	a	DET
cbi-52	140	6	simplified	simplified	ADJ
cbi-52	140	7	example	example	NOUN
cbi-52	140	8	and	and	CCONJ
cbi-52	140	9	application	application	NOUN
cbi-52	140	10	to	to	PART
cbi-52	140	11	see	see	VERB
cbi-52	140	12	how	how	SCONJ
cbi-52	140	13	this	this	DET
cbi-52	140	14	works	work	NOUN
cbi-52	140	15	,	,	PUNCT
cbi-52	140	16	imagine	imagine	VERB
cbi-52	140	17	a	a	DET
cbi-52	140	18	dataset	dataset	NOUN
cbi-52	140	19	of	of	ADP
cbi-52	140	20	400	400	NUM
cbi-52	140	21	entries	entry	NOUN
cbi-52	140	22	.	.	PUNCT
cbi-52	141	1	each	each	DET
cbi-52	141	2	data	data	NOUN
cbi-52	141	3	point	point	NOUN
cbi-52	141	4	will	will	AUX
cbi-52	141	5	be	be	AUX
cbi-52	141	6	a	a	DET
cbi-52	141	7	simple	simple	ADJ
cbi-52	141	8	boolean	boolean	ADJ
cbi-52	141	9	true	true	ADJ
cbi-52	141	10	/	/	SYM
cbi-52	141	11	false	false	ADJ
cbi-52	141	12	bit	bit	NOUN
cbi-52	141	13	,	,	PUNCT
cbi-52	141	14	with	with	ADP
cbi-52	141	15	the	the	DET
cbi-52	141	16	input	input	NOUN
cbi-52	141	17	being	be	AUX
cbi-52	141	18	simply	simply	ADV
cbi-52	141	19	the	the	DET
cbi-52	141	20	index	index	NOUN
cbi-52	141	21	of	of	ADP
cbi-52	141	22	the	the	DET
cbi-52	141	23	bit	bit	NOUN
cbi-52	141	24	.	.	PUNCT
cbi-52	142	1	for	for	ADP
cbi-52	142	2	this	this	DET
cbi-52	142	3	dataset	dataset	NOUN
cbi-52	142	4	,	,	PUNCT
cbi-52	142	5	random	random	ADJ
cbi-52	142	6	guessing	guessing	NOUN
cbi-52	142	7	will	will	AUX
cbi-52	142	8	achieve	achieve	VERB
cbi-52	142	9	a	a	DET
cbi-52	142	10	50	50	NUM
cbi-52	142	11	%	%	NOUN
cbi-52	142	12	probability	probability	NOUN
cbi-52	142	13	of	of	ADP
cbi-52	142	14	a	a	DET
cbi-52	142	15	correct	correct	ADJ
cbi-52	142	16	answer	answer	NOUN
cbi-52	142	17	for	for	ADP
cbi-52	142	18	each	each	DET
cbi-52	142	19	bit	bit	NOUN
cbi-52	142	20	,	,	PUNCT
cbi-52	142	21	yielding	yield	VERB
cbi-52	142	22	an	an	DET
cbi-52	142	23	endogenous	endogenous	ADJ
cbi-52	142	24	information	information	NOUN
cbi-52	142	25	of	of	ADP
cbi-52	142	26	400	400	NUM
cbi-52	142	27	bits	bit	NOUN
cbi-52	142	28	for	for	ADP
cbi-52	142	29	the	the	DET
cbi-52	142	30	whole	whole	ADJ
cbi-52	142	31	dataset	dataset	NOUN
cbi-52	142	32	.	.	PUNCT
cbi-52	143	1	program	program	NOUN
cbi-52	143	2	z1	z1	PROPN
cbi-52	143	3	reproduces	reproduce	VERB
cbi-52	143	4	the	the	DET
cbi-52	143	5	400	400	NUM
cbi-52	143	6	bits	bit	NOUN
cbi-52	143	7	exactly	exactly	ADV
cbi-52	143	8	,	,	PUNCT
cbi-52	143	9	and	and	CCONJ
cbi-52	143	10	|z1	|z1	PRON
cbi-52	143	11	|	|	ADV
cbi-52	143	12	is	be	AUX
cbi-52	143	13	260	260	NUM
cbi-52	143	14	bits	bit	NOUN
cbi-52	143	15	.	.	PUNCT
cbi-52	144	1	program	program	NOUN
cbi-52	144	2	z2	z2	PROPN
cbi-52	144	3	reproduces	reproduce	VERB
cbi-52	144	4	the	the	DET
cbi-52	144	5	400	400	NUM
cbi-52	144	6	bits	bit	NOUN
cbi-52	144	7	with	with	ADP
cbi-52	144	8	99	99	NUM
cbi-52	144	9	%	%	NOUN
cbi-52	144	10	accuracy	accuracy	NOUN
cbi-52	144	11	,	,	PUNCT
cbi-52	144	12	and	and	CCONJ
cbi-52	144	13	|z2	|z2	ADJ
cbi-52	144	14	|	|	NOUN
cbi-52	144	15	is	be	AUX
cbi-52	144	16	190	190	NUM
cbi-52	144	17	bits	bit	NOUN
cbi-52	144	18	.	.	PUNCT
cbi-52	145	1	both	both	PRON
cbi-52	145	2	of	of	ADP
cbi-52	145	3	these	these	DET
cbi-52	145	4	programs	program	NOUN
cbi-52	145	5	generalize	generalize	VERB
cbi-52	145	6	the	the	DET
cbi-52	145	7	data	datum	NOUN
cbi-52	145	8	(	(	PUNCT
cbi-52	145	9	|z1	|z1	NOUN
cbi-52	146	1	|	|	ADV
cbi-52	146	2	<	<	X
cbi-52	146	3	400	400	NUM
cbi-52	146	4	and	and	CCONJ
cbi-52	146	5	|z2	|z2	ADJ
cbi-52	147	1	|	|	ADV
cbi-52	147	2	<	<	X
cbi-52	147	3	400	400	NUM
cbi-52	147	4	)	)	PUNCT
cbi-52	147	5	,	,	PUNCT
cbi-52	147	6	but	but	CCONJ
cbi-52	147	7	which	which	DET
cbi-52	147	8	one	one	PRON
cbi-52	147	9	generalizes	generalize	VERB
cbi-52	147	10	the	the	DET
cbi-52	147	11	data	datum	NOUN
cbi-52	147	12	better	well	ADV
cbi-52	147	13	?	?	PUNCT
cbi-52	148	1	4note	4note	NUM
cbi-52	148	2	that	that	SCONJ
cbi-52	148	3	we	we	PRON
cbi-52	148	4	can	can	AUX
cbi-52	148	5	use	use	VERB
cbi-52	148	6	either	either	CCONJ
cbi-52	148	7	regular	regular	ADJ
cbi-52	148	8	active	active	ADJ
cbi-52	148	9	information	information	NOUN
cbi-52	148	10	or	or	CCONJ
cbi-52	148	11	bitwise	bitwise	VERB
cbi-52	148	12	active	active	ADJ
cbi-52	148	13	information	information	NOUN
cbi-52	148	14	for	for	ADP
cbi-52	148	15	this	this	PRON
cbi-52	148	16	.	.	PUNCT
cbi-52	149	1	5to	5to	PROPN
cbi-52	149	2	see	see	VERB
cbi-52	149	3	this	this	PRON
cbi-52	149	4	more	more	ADV
cbi-52	149	5	explicitly	explicitly	ADV
cbi-52	149	6	,	,	PUNCT
cbi-52	149	7	remember	remember	VERB
cbi-52	149	8	i+	i+	NOUN
cbi-52	150	1	=	=	NOUN
cbi-52	150	2	iω	iω	NOUN
cbi-52	150	3	−	−	PROPN
cbi-52	150	4	is	be	AUX
cbi-52	150	5	.	.	PUNCT
cbi-52	151	1	iω	iω	NOUN
cbi-52	151	2	will	will	AUX
cbi-52	151	3	be	be	AUX
cbi-52	151	4	the	the	DET
cbi-52	151	5	size	size	NOUN
cbi-52	151	6	of	of	ADP
cbi-52	151	7	the	the	DET
cbi-52	151	8	result	result	NOUN
cbi-52	151	9	(	(	PUNCT
cbi-52	151	10	the	the	DET
cbi-52	151	11	output	output	NOUN
cbi-52	151	12	dimension	dimension	NOUN
cbi-52	151	13	)	)	PUNCT
cbi-52	151	14	in	in	ADP
cbi-52	151	15	bits	bit	NOUN
cbi-52	151	16	,	,	PUNCT
cbi-52	151	17	which	which	PRON
cbi-52	151	18	is	be	AUX
cbi-52	151	19	simply	simply	ADV
cbi-52	151	20	|dout	|dout	VERB
cbi-52	151	21	|	|	ADV
cbi-52	151	22	.	.	PUNCT
cbi-52	152	1	if	if	SCONJ
cbi-52	152	2	the	the	DET
cbi-52	152	3	result	result	NOUN
cbi-52	152	4	is	be	AUX
cbi-52	152	5	exact	exact	ADJ
cbi-52	152	6	,	,	PUNCT
cbi-52	152	7	then	then	ADV
cbi-52	152	8	is	be	AUX
cbi-52	152	9	=	=	ADJ
cbi-52	152	10	0	0	NUM
cbi-52	152	11	.	.	PUNCT
cbi-52	153	1	thus	thus	ADV
cbi-52	153	2	,	,	PUNCT
cbi-52	153	3	i+	i+	ADV
cbi-52	153	4	=	=	NOUN
cbi-52	153	5	|dout	|dout	NOUN
cbi-52	153	6	|	|	ADV
cbi-52	153	7	−	−	PROPN
cbi-52	153	8	0	0	NUM
cbi-52	153	9	=	=	SYM
cbi-52	153	10	|dout	|dout	NOUN
cbi-52	153	11	|	|	ADV
cbi-52	153	12	.	.	PUNCT
cbi-52	154	1	18	18	NUM
cbi-52	154	2	generalized	generalized	ADJ
cbi-52	154	3	information	information	NOUN
cbi-52	154	4	for	for	ADP
cbi-52	154	5	z1	z1	NOUN
cbi-52	154	6	,	,	PUNCT
cbi-52	154	7	ig	ig	PROPN
cbi-52	154	8	=	=	SYM
cbi-52	154	9	400	400	NUM
cbi-52	154	10	−	−	NUM
cbi-52	154	11	260	260	NUM
cbi-52	154	12	=	=	SYM
cbi-52	154	13	140	140	NUM
cbi-52	154	14	bits	bit	NOUN
cbi-52	154	15	.	.	PUNCT
cbi-52	155	1	for	for	ADP
cbi-52	155	2	z2	z2	PROPN
cbi-52	155	3	,	,	PUNCT
cbi-52	155	4	since	since	SCONJ
cbi-52	155	5	z2	z2	PROPN
cbi-52	155	6	is	be	AUX
cbi-52	155	7	not	not	PART
cbi-52	155	8	an	an	DET
cbi-52	155	9	exact	exact	ADJ
cbi-52	155	10	match	match	NOUN
cbi-52	155	11	to	to	ADP
cbi-52	155	12	the	the	DET
cbi-52	155	13	data	datum	NOUN
cbi-52	155	14	,	,	PUNCT
cbi-52	155	15	we	we	PRON
cbi-52	155	16	need	need	VERB
cbi-52	155	17	to	to	PART
cbi-52	155	18	calculate	calculate	VERB
cbi-52	155	19	its	its	PRON
cbi-52	155	20	active	active	ADJ
cbi-52	155	21	information	information	NOUN
cbi-52	155	22	.	.	PUNCT
cbi-52	156	1	iω	iω	NOUN
cbi-52	156	2	will	will	AUX
cbi-52	156	3	be	be	AUX
cbi-52	156	4	the	the	DET
cbi-52	156	5	same	same	ADJ
cbi-52	156	6	.	.	PUNCT
cbi-52	157	1	since	since	SCONJ
cbi-52	157	2	the	the	DET
cbi-52	157	3	model	model	NOUN
cbi-52	157	4	moves	move	VERB
cbi-52	157	5	the	the	DET
cbi-52	157	6	probability	probability	NOUN
cbi-52	157	7	for	for	ADP
cbi-52	157	8	each	each	DET
cbi-52	157	9	bit	bit	NOUN
cbi-52	157	10	to	to	ADP
cbi-52	157	11	99	99	NUM
cbi-52	157	12	%	%	NOUN
cbi-52	157	13	accurate	accurate	ADJ
cbi-52	157	14	,	,	PUNCT
cbi-52	157	15	the	the	DET
cbi-52	157	16	exogenous	exogenous	ADJ
cbi-52	157	17	information	information	NOUN
cbi-52	157	18	(	(	PUNCT
cbi-52	157	19	is	be	AUX
cbi-52	157	20	)	)	PUNCT
cbi-52	157	21	is	be	AUX
cbi-52	157	22	−	−	PROPN
cbi-52	157	23	log2	log2	PROPN
cbi-52	157	24	"	"	PUNCT
cbi-52	157	25	0.99400	0.99400	NUM
cbi-52	157	26	#	#	NOUN
cbi-52	157	27	≈	≈	PROPN
cbi-52	157	28	5.8	5.8	NUM
cbi-52	157	29	bits	bit	NOUN
cbi-52	157	30	.	.	PUNCT
cbi-52	158	1	therefore	therefore	ADV
cbi-52	158	2	,	,	PUNCT
cbi-52	158	3	the	the	DET
cbi-52	158	4	active	active	ADJ
cbi-52	158	5	information	information	NOUN
cbi-52	158	6	(	(	PUNCT
cbi-52	158	7	i+	i+	NUM
cbi-52	158	8	)	)	PUNCT
cbi-52	158	9	in	in	ADP
cbi-52	158	10	this	this	DET
cbi-52	158	11	model	model	NOUN
cbi-52	158	12	will	will	AUX
cbi-52	158	13	be	be	AUX
cbi-52	158	14	i+	i+	PRON
cbi-52	158	15	=	=	NUM
cbi-52	158	16	400	400	NUM
cbi-52	158	17	−	−	NUM
cbi-52	158	18	5.8	5.8	NUM
cbi-52	158	19	=	=	SYM
cbi-52	158	20	394.2	394.2	NUM
cbi-52	158	21	≈	≈	PROPN
cbi-52	158	22	394	394	NUM
cbi-52	158	23	bits	bit	NOUN
cbi-52	158	24	.	.	PUNCT
cbi-52	159	1	(	(	PUNCT
cbi-52	159	2	11	11	NUM
cbi-52	159	3	)	)	PUNCT
cbi-52	159	4	therefore	therefore	ADV
cbi-52	159	5	,	,	PUNCT
cbi-52	159	6	since	since	SCONJ
cbi-52	159	7	|z2	|z2	ADJ
cbi-52	159	8	|	|	NOUN
cbi-52	159	9	=	=	NOUN
cbi-52	159	10	190	190	NUM
cbi-52	159	11	,	,	PUNCT
cbi-52	159	12	the	the	DET
cbi-52	159	13	generalized	generalized	ADJ
cbi-52	159	14	information	information	NOUN
cbi-52	159	15	will	will	AUX
cbi-52	159	16	be	be	AUX
cbi-52	159	17	ig	ig	NOUN
cbi-52	159	18	=	=	NOUN
cbi-52	159	19	394	394	NUM
cbi-52	159	20	−	−	NUM
cbi-52	159	21	190	190	NUM
cbi-52	159	22	=	=	SYM
cbi-52	159	23	204	204	NUM
cbi-52	159	24	bits	bit	NOUN
cbi-52	159	25	.	.	PUNCT
cbi-52	160	1	(	(	PUNCT
cbi-52	160	2	12	12	NUM
cbi-52	160	3	)	)	PUNCT
cbi-52	160	4	because	because	SCONJ
cbi-52	160	5	the	the	DET
cbi-52	160	6	ig	ig	PROPN
cbi-52	160	7	of	of	ADP
cbi-52	160	8	z2	z2	PROPN
cbi-52	160	9	is	be	AUX
cbi-52	160	10	greater	great	ADJ
cbi-52	160	11	than	than	ADP
cbi-52	160	12	the	the	DET
cbi-52	160	13	ig	ig	PROPN
cbi-52	160	14	of	of	ADP
cbi-52	160	15	z1	z1	PROPN
cbi-52	160	16	,	,	PUNCT
cbi-52	160	17	this	this	PRON
cbi-52	160	18	means	mean	VERB
cbi-52	160	19	that	that	SCONJ
cbi-52	160	20	z2	z2	PROPN
cbi-52	160	21	is	be	AUX
cbi-52	160	22	a	a	DET
cbi-52	160	23	better	well	ADJ
cbi-52	160	24	generalization	generalization	NOUN
cbi-52	160	25	of	of	ADP
cbi-52	160	26	the	the	DET
cbi-52	160	27	data	datum	NOUN
cbi-52	160	28	,	,	PUNCT
cbi-52	160	29	even	even	ADV
cbi-52	160	30	though	though	SCONJ
cbi-52	160	31	it	it	PRON
cbi-52	160	32	is	be	AUX
cbi-52	160	33	less	less	ADV
cbi-52	160	34	accurate	accurate	ADJ
cbi-52	160	35	.	.	PUNCT
cbi-52	161	1	z1	z1	NOUN
cbi-52	161	2	is	be	AUX
cbi-52	161	3	at	at	ADP
cbi-52	161	4	risk	risk	NOUN
cbi-52	161	5	of	of	ADP
cbi-52	161	6	slight	slight	ADJ
cbi-52	161	7	overfitting	overfitting	NOUN
cbi-52	161	8	,	,	PUNCT
cbi-52	161	9	because	because	SCONJ
cbi-52	161	10	the	the	DET
cbi-52	161	11	gain	gain	NOUN
cbi-52	161	12	in	in	ADP
cbi-52	161	13	accuracy	accuracy	NOUN
cbi-52	161	14	is	be	AUX
cbi-52	161	15	more	more	ADV
cbi-52	161	16	than	than	SCONJ
cbi-52	161	17	offset	offset	VERB
cbi-52	161	18	by	by	ADP
cbi-52	161	19	the	the	DET
cbi-52	161	20	increase	increase	NOUN
cbi-52	161	21	in	in	ADP
cbi-52	161	22	the	the	DET
cbi-52	161	23	complexity	complexity	NOUN
cbi-52	161	24	of	of	ADP
cbi-52	161	25	the	the	DET
cbi-52	161	26	model	model	NOUN
cbi-52	161	27	.	.	PUNCT
cbi-52	162	1	thus	thus	ADV
cbi-52	162	2	,	,	PUNCT
cbi-52	162	3	generalized	generalized	ADJ
cbi-52	162	4	information	information	NOUN
cbi-52	162	5	allows	allow	VERB
cbi-52	162	6	weighing	weigh	VERB
cbi-52	162	7	between	between	ADP
cbi-52	162	8	generalization	generalization	NOUN
cbi-52	162	9	and	and	CCONJ
cbi-52	162	10	accuracy	accuracy	NOUN
cbi-52	162	11	in	in	ADP
cbi-52	162	12	models	model	NOUN
cbi-52	162	13	.	.	PUNCT
cbi-52	163	1	it	it	PRON
cbi-52	163	2	provides	provide	VERB
cbi-52	163	3	a	a	DET
cbi-52	163	4	philosophically	philosophically	ADV
cbi-52	163	5	coherent	coherent	ADJ
cbi-52	163	6	scoring	scoring	NOUN
cbi-52	163	7	system	system	NOUN
cbi-52	163	8	which	which	PRON
cbi-52	163	9	weighs	weigh	VERB
cbi-52	163	10	together	together	ADV
cbi-52	163	11	accuracy	accuracy	NOUN
cbi-52	163	12	and	and	CCONJ
cbi-52	163	13	model	model	NOUN
cbi-52	163	14	size	size	NOUN
cbi-52	163	15	to	to	PART
cbi-52	163	16	determine	determine	VERB
cbi-52	163	17	which	which	DET
cbi-52	163	18	models	model	NOUN
cbi-52	163	19	are	be	AUX
cbi-52	163	20	to	to	PART
cbi-52	163	21	be	be	AUX
cbi-52	163	22	preferred	prefer	VERB
cbi-52	163	23	over	over	ADP
cbi-52	163	24	others	other	NOUN
cbi-52	163	25	,	,	PUNCT
cbi-52	163	26	and	and	CCONJ
cbi-52	163	27	which	which	DET
cbi-52	163	28	models	model	NOUN
cbi-52	163	29	should	should	AUX
cbi-52	163	30	even	even	ADV
cbi-52	163	31	count	count	VERB
cbi-52	163	32	as	as	ADP
cbi-52	163	33	generalizations	generalization	NOUN
cbi-52	163	34	at	at	ADV
cbi-52	163	35	all	all	ADV
cbi-52	163	36	.	.	PUNCT
cbi-52	164	1	9	9	NUM
cbi-52	164	2	generalized	generalized	ADJ
cbi-52	164	3	information	information	NOUN
cbi-52	164	4	and	and	CCONJ
cbi-52	164	5	knowledge	knowledge	NOUN
cbi-52	164	6	let	let	VERB
cbi-52	164	7	us	we	PRON
cbi-52	164	8	write	write	VERB
cbi-52	164	9	ig	ig	PROPN
cbi-52	164	10	(	(	PUNCT
cbi-52	164	11	m	m	PROPN
cbi-52	164	12	,	,	PUNCT
cbi-52	164	13	d	d	NOUN
cbi-52	164	14	)	)	PUNCT
cbi-52	164	15	as	as	ADP
cbi-52	164	16	the	the	DET
cbi-52	164	17	amount	amount	NOUN
cbi-52	164	18	of	of	ADP
cbi-52	164	19	generalization	generalization	NOUN
cbi-52	164	20	a	a	DET
cbi-52	164	21	model	model	NOUN
cbi-52	164	22	m	m	AUX
cbi-52	164	23	has	have	VERB
cbi-52	164	24	about	about	ADP
cbi-52	164	25	dataset	dataset	VERB
cbi-52	164	26	d.	d.	PROPN
cbi-52	164	27	in	in	ADP
cbi-52	164	28	this	this	DET
cbi-52	164	29	framework	framework	NOUN
cbi-52	164	30	,	,	PUNCT
cbi-52	164	31	knowledge	knowledge	NOUN
cbi-52	164	32	can	can	AUX
cbi-52	164	33	be	be	AUX
cbi-52	164	34	represented	represent	VERB
cbi-52	164	35	as	as	ADP
cbi-52	164	36	the	the	DET
cbi-52	164	37	following	follow	VERB
cbi-52	164	38	limit	limit	NOUN
cbi-52	164	39	:	:	PUNCT
cbi-52	164	40	lim	lim	PROPN
cbi-52	164	41	|dout	|dout	PROPN
cbi-52	164	42	|→∞	|→∞	NOUN
cbi-52	164	43	ig	ig	PROPN
cbi-52	164	44	(	(	PUNCT
cbi-52	164	45	m	m	PROPN
cbi-52	164	46	,	,	PUNCT
cbi-52	164	47	d	d	NOUN
cbi-52	164	48	)	)	PUNCT
cbi-52	165	1	=	=	SYM
cbi-52	165	2	∞	∞	PROPN
cbi-52	165	3	(	(	PUNCT
cbi-52	165	4	13	13	NUM
cbi-52	165	5	)	)	PUNCT
cbi-52	165	6	in	in	ADP
cbi-52	165	7	other	other	ADJ
cbi-52	165	8	words	word	NOUN
cbi-52	165	9	,	,	PUNCT
cbi-52	165	10	if	if	SCONJ
cbi-52	165	11	a	a	DET
cbi-52	165	12	generalization	generalization	NOUN
cbi-52	165	13	can	can	AUX
cbi-52	165	14	be	be	AUX
cbi-52	165	15	applied	apply	VERB
cbi-52	165	16	to	to	ADP
cbi-52	165	17	a	a	DET
cbi-52	165	18	theoretical	theoretical	ADJ
cbi-52	165	19	infinite	infinite	ADJ
cbi-52	165	20	number	number	NOUN
cbi-52	165	21	of	of	ADP
cbi-52	165	22	data	datum	NOUN
cbi-52	165	23	points	point	NOUN
cbi-52	165	24	,	,	PUNCT
cbi-52	165	25	it	it	PRON
cbi-52	165	26	is	be	AUX
cbi-52	165	27	knowledge	knowledge	NOUN
cbi-52	165	28	.	.	PUNCT
cbi-52	166	1	note	note	VERB
cbi-52	166	2	that	that	SCONJ
cbi-52	166	3	this	this	DET
cbi-52	166	4	definition	definition	NOUN
cbi-52	166	5	of	of	ADP
cbi-52	166	6	knowledge	knowledge	NOUN
cbi-52	166	7	does	do	AUX
cbi-52	166	8	not	not	PART
cbi-52	166	9	require	require	VERB
cbi-52	166	10	exactness	exactness	NOUN
cbi-52	166	11	,	,	PUNCT
cbi-52	166	12	since	since	SCONJ
cbi-52	166	13	generalized	generalized	ADJ
cbi-52	166	14	information	information	NOUN
cbi-52	166	15	does	do	AUX
cbi-52	166	16	not	not	PART
cbi-52	166	17	require	require	VERB
cbi-52	166	18	exactness	exactness	NOUN
cbi-52	166	19	.	.	PUNCT
cbi-52	167	1	it	it	PRON
cbi-52	167	2	merely	merely	ADV
cbi-52	167	3	requires	require	VERB
cbi-52	167	4	that	that	SCONJ
cbi-52	167	5	increasing	increase	VERB
cbi-52	167	6	the	the	DET
cbi-52	167	7	amount	amount	NOUN
cbi-52	167	8	of	of	ADP
cbi-52	167	9	data	datum	NOUN
cbi-52	167	10	without	without	ADP
cbi-52	167	11	bound	bind	VERB
cbi-52	167	12	also	also	ADV
cbi-52	167	13	increases	increase	VERB
cbi-52	167	14	the	the	DET
cbi-52	167	15	amount	amount	NOUN
cbi-52	167	16	of	of	ADP
cbi-52	167	17	generalization	generalization	NOUN
cbi-52	167	18	of	of	ADP
cbi-52	167	19	the	the	DET
cbi-52	167	20	model	model	NOUN
cbi-52	167	21	.	.	PUNCT
cbi-52	168	1	under	under	ADP
cbi-52	168	2	this	this	DET
cbi-52	168	3	system	system	NOUN
cbi-52	168	4	,	,	PUNCT
cbi-52	168	5	classical	classical	ADJ
cbi-52	168	6	physics	physic	NOUN
cbi-52	168	7	,	,	PUNCT
cbi-52	168	8	despite	despite	SCONJ
cbi-52	168	9	it	it	PRON
cbi-52	168	10	not	not	PART
cbi-52	168	11	being	be	AUX
cbi-52	168	12	an	an	DET
cbi-52	168	13	exact	exact	ADJ
cbi-52	168	14	description	description	NOUN
cbi-52	168	15	of	of	ADP
cbi-52	168	16	reality	reality	NOUN
cbi-52	168	17	,	,	PUNCT
cbi-52	168	18	is	be	AUX
cbi-52	168	19	considered	consider	VERB
cbi-52	168	20	knowledge	knowledge	NOUN
cbi-52	168	21	,	,	PUNCT
cbi-52	168	22	because	because	SCONJ
cbi-52	168	23	the	the	DET
cbi-52	168	24	same	same	ADJ
cbi-52	168	25	model	model	NOUN
cbi-52	168	26	continues	continue	VERB
cbi-52	168	27	to	to	PART
cbi-52	168	28	generalize	generalize	VERB
cbi-52	168	29	more	more	ADV
cbi-52	168	30	and	and	CCONJ
cbi-52	168	31	more	more	ADJ
cbi-52	168	32	points	point	NOUN
cbi-52	168	33	as	as	SCONJ
cbi-52	168	34	the	the	DET
cbi-52	168	35	dataset	dataset	NOUN
cbi-52	168	36	gets	get	VERB
cbi-52	168	37	larger	large	ADJ
cbi-52	168	38	.	.	PUNCT
cbi-52	169	1	additionally	additionally	ADV
cbi-52	169	2	,	,	PUNCT
cbi-52	169	3	we	we	PRON
cbi-52	169	4	can	can	AUX
cbi-52	169	5	be	be	AUX
cbi-52	169	6	certain	certain	ADJ
cbi-52	169	7	that	that	SCONJ
cbi-52	169	8	if	if	SCONJ
cbi-52	169	9	knowledge	knowledge	NOUN
cbi-52	169	10	about	about	ADP
cbi-52	169	11	a	a	DET
cbi-52	169	12	topic	topic	NOUN
cbi-52	169	13	can	can	AUX
cbi-52	169	14	be	be	AUX
cbi-52	169	15	found	find	VERB
cbi-52	169	16	,	,	PUNCT
cbi-52	169	17	then	then	ADV
cbi-52	169	18	,	,	PUNCT
cbi-52	169	19	with	with	ADP
cbi-52	169	20	a	a	DET
cbi-52	169	21	large	large	ADJ
cbi-52	169	22	enough	enough	ADJ
cbi-52	169	23	sample	sample	NOUN
cbi-52	169	24	size	size	NOUN
cbi-52	169	25	,	,	PUNCT
cbi-52	169	26	it	it	PRON
cbi-52	169	27	can	can	AUX
cbi-52	169	28	be	be	AUX
cbi-52	169	29	generalized	generalize	VERB
cbi-52	169	30	through	through	ADP
cbi-52	169	31	generalized	generalized	ADJ
cbi-52	169	32	information	information	NOUN
cbi-52	169	33	.	.	PUNCT
cbi-52	170	1	that	that	PRON
cbi-52	170	2	is	be	AUX
cbi-52	170	3	,	,	PUNCT
cbi-52	170	4	if	if	SCONJ
cbi-52	170	5	we	we	PRON
cbi-52	170	6	are	be	AUX
cbi-52	170	7	able	able	ADJ
cbi-52	170	8	to	to	PART
cbi-52	170	9	form	form	VERB
cbi-52	170	10	a	a	DET
cbi-52	170	11	model	model	NOUN
cbi-52	170	12	of	of	ADP
cbi-52	170	13	an	an	DET
cbi-52	170	14	item	item	NOUN
cbi-52	170	15	of	of	ADP
cbi-52	170	16	knowledge	knowledge	NOUN
cbi-52	170	17	,	,	PUNCT
cbi-52	170	18	then	then	ADV
cbi-52	170	19	it	it	PRON
cbi-52	170	20	is	be	AUX
cbi-52	170	21	covered	cover	VERB
cbi-52	170	22	by	by	ADP
cbi-52	170	23	a	a	DET
cbi-52	170	24	fixed	fix	VERB
cbi-52	170	25	size	size	NOUN
cbi-52	170	26	program	program	NOUN
cbi-52	170	27	.	.	PUNCT
cbi-52	171	1	if	if	SCONJ
cbi-52	171	2	knowledge	knowledge	NOUN
cbi-52	171	3	is	be	AUX
cbi-52	171	4	defined	define	VERB
cbi-52	171	5	to	to	PART
cbi-52	171	6	be	be	AUX
cbi-52	171	7	the	the	DET
cbi-52	171	8	continued	continue	VERB
cbi-52	171	9	applicability	applicability	NOUN
cbi-52	171	10	of	of	ADP
cbi-52	171	11	a	a	DET
cbi-52	171	12	model	model	NOUN
cbi-52	171	13	to	to	ADP
cbi-52	171	14	an	an	DET
cbi-52	171	15	infinite	infinite	ADJ
cbi-52	171	16	size	size	NOUN
cbi-52	171	17	of	of	ADP
cbi-52	171	18	data	datum	NOUN
cbi-52	171	19	,	,	PUNCT
cbi-52	171	20	and	and	CCONJ
cbi-52	171	21	the	the	DET
cbi-52	171	22	model	model	NOUN
cbi-52	171	23	is	be	AUX
cbi-52	171	24	of	of	ADP
cbi-52	171	25	a	a	DET
cbi-52	171	26	fixed	fix	VERB
cbi-52	171	27	size	size	NOUN
cbi-52	171	28	,	,	PUNCT
cbi-52	171	29	then	then	ADV
cbi-52	171	30	that	that	PRON
cbi-52	171	31	means	mean	VERB
cbi-52	171	32	that	that	SCONJ
cbi-52	171	33	we	we	PRON
cbi-52	171	34	will	will	AUX
cbi-52	171	35	have	have	VERB
cbi-52	171	36	generalized	generalized	ADJ
cbi-52	171	37	information	information	NOUN
cbi-52	171	38	available	available	ADJ
cbi-52	171	39	in	in	ADP
cbi-52	171	40	the	the	DET
cbi-52	171	41	limit	limit	NOUN
cbi-52	171	42	.	.	PUNCT
cbi-52	172	1	therefore	therefore	ADV
cbi-52	172	2	,	,	PUNCT
cbi-52	172	3	there	there	PRON
cbi-52	172	4	is	be	VERB
cbi-52	172	5	some	some	DET
cbi-52	172	6	quantity	quantity	NOUN
cbi-52	172	7	of	of	ADP
cbi-52	172	8	data	datum	NOUN
cbi-52	172	9	for	for	ADP
cbi-52	172	10	which	which	PRON
cbi-52	172	11	a	a	DET
cbi-52	172	12	knowledge	knowledge	NOUN
cbi-52	172	13	-	-	PUNCT
cbi-52	172	14	oriented	orient	VERB
cbi-52	172	15	model	model	NOUN
cbi-52	172	16	provides	provide	VERB
cbi-52	172	17	generalization	generalization	NOUN
cbi-52	172	18	.	.	PUNCT
cbi-52	173	1	interestingly	interestingly	ADV
cbi-52	173	2	,	,	PUNCT
cbi-52	173	3	this	this	PRON
cbi-52	173	4	also	also	ADV
cbi-52	173	5	means	mean	VERB
cbi-52	173	6	that	that	SCONJ
cbi-52	173	7	,	,	PUNCT
cbi-52	173	8	given	give	VERB
cbi-52	173	9	enough	enough	ADJ
cbi-52	173	10	data	datum	NOUN
cbi-52	173	11	,	,	PUNCT
cbi-52	173	12	the	the	DET
cbi-52	173	13	most	most	ADV
cbi-52	173	14	size	size	NOUN
cbi-52	173	15	-	-	PUNCT
cbi-52	173	16	efficient	efficient	ADJ
cbi-52	173	17	model	model	NOUN
cbi-52	173	18	is	be	AUX
cbi-52	173	19	not	not	PART
cbi-52	173	20	even	even	ADV
cbi-52	173	21	necessary	necessary	ADJ
cbi-52	173	22	.	.	PUNCT
cbi-52	174	1	that	that	PRON
cbi-52	174	2	is	be	AUX
cbi-52	174	3	,	,	PUNCT
cbi-52	174	4	if	if	SCONJ
cbi-52	174	5	the	the	DET
cbi-52	174	6	ideal	ideal	ADJ
cbi-52	174	7	model	model	NOUN
cbi-52	174	8	is	be	AUX
cbi-52	174	9	mi	mi	PROPN
cbi-52	174	10	,	,	PUNCT
cbi-52	174	11	but	but	CCONJ
cbi-52	174	12	a	a	DET
cbi-52	174	13	poorly	poorly	ADV
cbi-52	174	14	implemented	implement	VERB
cbi-52	174	15	model	model	NOUN
cbi-52	174	16	mp	mp	PROPN
cbi-52	174	17	has	have	VERB
cbi-52	174	18	the	the	DET
cbi-52	174	19	same	same	ADJ
cbi-52	174	20	accuracy	accuracy	NOUN
cbi-52	174	21	but	but	CCONJ
cbi-52	174	22	is	be	AUX
cbi-52	174	23	inefficiently	inefficiently	ADV
cbi-52	174	24	coded	code	VERB
cbi-52	174	25	(	(	PUNCT
cbi-52	174	26	i.e.	i.e.	X
cbi-52	174	27	,	,	PUNCT
cbi-52	174	28	it	it	PRON
cbi-52	174	29	is	be	AUX
cbi-52	174	30	coded	code	VERB
cbi-52	174	31	using	use	VERB
cbi-52	174	32	three	three	NUM
cbi-52	174	33	times	time	NOUN
cbi-52	174	34	amount	amount	NOUN
cbi-52	174	35	of	of	ADP
cbi-52	174	36	code	code	NOUN
cbi-52	174	37	)	)	PUNCT
cbi-52	174	38	,	,	PUNCT
cbi-52	174	39	given	give	VERB
cbi-52	174	40	sufficient	sufficient	ADJ
cbi-52	174	41	data	datum	NOUN
cbi-52	174	42	,	,	PUNCT
cbi-52	174	43	mp	mp	PROPN
cbi-52	174	44	will	will	AUX
cbi-52	174	45	also	also	ADV
cbi-52	174	46	be	be	AUX
cbi-52	174	47	a	a	DET
cbi-52	174	48	generalization	generalization	NOUN
cbi-52	174	49	.	.	PUNCT
cbi-52	175	1	in	in	ADP
cbi-52	175	2	short	short	ADJ
cbi-52	175	3	,	,	PUNCT
cbi-52	175	4	if	if	SCONJ
cbi-52	175	5	knowledge	knowledge	NOUN
cbi-52	175	6	can	can	AUX
cbi-52	175	7	be	be	AUX
cbi-52	175	8	had	have	VERB
cbi-52	175	9	through	through	ADP
cbi-52	175	10	a	a	DET
cbi-52	175	11	model	model	NOUN
cbi-52	175	12	,	,	PUNCT
cbi-52	175	13	it	it	PRON
cbi-52	175	14	will	will	AUX
cbi-52	175	15	show	show	VERB
cbi-52	175	16	generalized	generalized	ADJ
cbi-52	175	17	information	information	NOUN
cbi-52	175	18	on	on	ADP
cbi-52	175	19	a	a	DET
cbi-52	175	20	sufficiently	sufficiently	ADV
cbi-52	175	21	large	large	ADJ
cbi-52	175	22	dataset	dataset	NOUN
cbi-52	175	23	.	.	PUNCT
cbi-52	176	1	10	10	NUM
cbi-52	176	2	why	why	SCONJ
cbi-52	176	3	generalization	generalization	NOUN
cbi-52	176	4	works	work	VERB
cbi-52	176	5	montañez	montañez	NOUN
cbi-52	176	6	(	(	PUNCT
cbi-52	176	7	2017	2017	NUM
cbi-52	176	8	)	)	PUNCT
cbi-52	176	9	points	point	VERB
cbi-52	176	10	out	out	ADP
cbi-52	176	11	that	that	SCONJ
cbi-52	176	12	all	all	DET
cbi-52	176	13	machine	machine	NOUN
cbi-52	176	14	learning	learn	VERB
cbi-52	176	15	systems	system	NOUN
cbi-52	176	16	work	work	VERB
cbi-52	176	17	only	only	ADV
cbi-52	176	18	because	because	SCONJ
cbi-52	176	19	of	of	ADP
cbi-52	176	20	the	the	DET
cbi-52	176	21	existence	existence	NOUN
cbi-52	176	22	of	of	ADP
cbi-52	176	23	a	a	DET
cbi-52	176	24	bias	bias	NOUN
cbi-52	176	25	.	.	PUNCT
cbi-52	177	1	he	he	PRON
cbi-52	177	2	paints	paint	VERB
cbi-52	177	3	compression	compression	NOUN
cbi-52	177	4	-	-	PUNCT
cbi-52	177	5	based	base	VERB
cbi-52	177	6	learning	learning	NOUN
cbi-52	177	7	systems	system	NOUN
cbi-52	177	8	with	with	ADP
cbi-52	177	9	skepticism	skepticism	NOUN
cbi-52	177	10	because	because	SCONJ
cbi-52	177	11	,	,	PUNCT
cbi-52	177	12	in	in	ADP
cbi-52	177	13	theory	theory	NOUN
cbi-52	177	14	,	,	PUNCT
cbi-52	177	15	for	for	ADP
cbi-52	177	16	any	any	DET
cbi-52	177	17	particular	particular	ADJ
cbi-52	177	18	arrangement	arrangement	NOUN
cbi-52	177	19	of	of	ADP
cbi-52	177	20	codes	code	NOUN
cbi-52	177	21	,	,	PUNCT
cbi-52	177	22	the	the	DET
cbi-52	177	23	desired	desire	VERB
cbi-52	177	24	ordering	ordering	NOUN
cbi-52	177	25	of	of	ADP
cbi-52	177	26	codes	code	NOUN
cbi-52	177	27	may	may	AUX
cbi-52	177	28	put	put	VERB
cbi-52	177	29	the	the	DET
cbi-52	177	30	longer	long	ADJ
cbi-52	177	31	ones	one	NOUN
cbi-52	177	32	first	first	ADV
cbi-52	177	33	.	.	PUNCT
cbi-52	178	1	what	what	PRON
cbi-52	178	2	makes	make	VERB
cbi-52	178	3	the	the	DET
cbi-52	178	4	present	present	ADJ
cbi-52	178	5	model	model	NOUN
cbi-52	178	6	different	different	ADJ
cbi-52	178	7	is	be	AUX
cbi-52	178	8	that	that	SCONJ
cbi-52	178	9	it	it	PRON
cbi-52	178	10	does	do	AUX
cbi-52	178	11	not	not	PART
cbi-52	178	12	approach	approach	VERB
cbi-52	178	13	machine	machine	NOUN
cbi-52	178	14	learning	learn	VERB
cbi-52	178	15	with	with	ADP
cbi-52	178	16	the	the	DET
cbi-52	178	17	assumption	assumption	NOUN
cbi-52	178	18	that	that	SCONJ
cbi-52	178	19	the	the	DET
cbi-52	178	20	hypothesis	hypothesis	NOUN
cbi-52	178	21	space	space	NOUN
cbi-52	178	22	is	be	AUX
cbi-52	178	23	adequate	adequate	ADJ
cbi-52	178	24	.	.	PUNCT
cbi-52	179	1	instead	instead	ADV
cbi-52	179	2	,	,	PUNCT
cbi-52	179	3	it	it	PRON
cbi-52	179	4	presents	present	VERB
cbi-52	179	5	a	a	DET
cbi-52	179	6	way	way	NOUN
cbi-52	179	7	of	of	ADP
cbi-52	179	8	testing	testing	NOUN
cbi-52	179	9	if	if	SCONJ
cbi-52	179	10	a	a	DET
cbi-52	179	11	given	give	VERB
cbi-52	179	12	hypothesis	hypothesis	NOUN
cbi-52	179	13	can	can	AUX
cbi-52	179	14	be	be	AUX
cbi-52	179	15	defensibly	defensibly	ADV
cbi-52	179	16	considered	consider	VERB
cbi-52	179	17	to	to	PART
cbi-52	179	18	have	have	AUX
cbi-52	179	19	generalized	generalize	VERB
cbi-52	179	20	the	the	DET
cbi-52	179	21	training	training	NOUN
cbi-52	179	22	data	datum	NOUN
cbi-52	179	23	.	.	PUNCT
cbi-52	180	1	for	for	ADP
cbi-52	180	2	any	any	DET
cbi-52	180	3	particular	particular	ADJ
cbi-52	180	4	mappings	mapping	NOUN
cbi-52	180	5	of	of	ADP
cbi-52	180	6	codes	code	NOUN
cbi-52	180	7	to	to	ADP
cbi-52	180	8	functions	function	NOUN
cbi-52	180	9	,	,	PUNCT
cbi-52	180	10	the	the	DET
cbi-52	180	11	training	training	NOUN
cbi-52	180	12	data	datum	NOUN
cbi-52	180	13	may	may	AUX
cbi-52	180	14	not	not	PART
cbi-52	180	15	be	be	AUX
cbi-52	180	16	sufficient	sufficient	ADJ
cbi-52	180	17	to	to	PART
cbi-52	180	18	generalize	generalize	VERB
cbi-52	180	19	.	.	PUNCT
cbi-52	181	1	thus	thus	ADV
cbi-52	181	2	,	,	PUNCT
cbi-52	181	3	the	the	DET
cbi-52	181	4	ability	ability	NOUN
cbi-52	181	5	to	to	PART
cbi-52	181	6	find	find	VERB
cbi-52	181	7	an	an	DET
cbi-52	181	8	appropriate	appropriate	ADJ
cbi-52	181	9	hypothesis	hypothesis	NOUN
cbi-52	181	10	under	under	ADP
cbi-52	181	11	generalized	generalized	ADJ
cbi-52	181	12	information	information	NOUN
cbi-52	181	13	may	may	AUX
cbi-52	181	14	not	not	PART
cbi-52	181	15	be	be	AUX
cbi-52	181	16	available	available	ADJ
cbi-52	181	17	.	.	PUNCT
cbi-52	182	1	however	however	ADV
cbi-52	182	2	,	,	PUNCT
cbi-52	182	3	in	in	ADP
cbi-52	182	4	section	section	NOUN
cbi-52	182	5	9	9	NUM
cbi-52	182	6	,	,	PUNCT
cbi-52	182	7	we	we	PRON
cbi-52	182	8	pointed	point	VERB
cbi-52	182	9	out	out	ADP
cbi-52	182	10	that	that	SCONJ
cbi-52	182	11	,	,	PUNCT
cbi-52	182	12	if	if	SCONJ
cbi-52	182	13	an	an	DET
cbi-52	182	14	appropriate	appropriate	ADJ
cbi-52	182	15	model	model	NOUN
cbi-52	182	16	exists	exist	VERB
cbi-52	182	17	at	at	ADV
cbi-52	182	18	all	all	ADV
cbi-52	182	19	,	,	PUNCT
cbi-52	182	20	there	there	PRON
cbi-52	182	21	will	will	AUX
cbi-52	182	22	be	be	AUX
cbi-52	182	23	some	some	DET
cbi-52	182	24	size	size	NOUN
cbi-52	182	25	of	of	ADP
cbi-52	182	26	training	training	NOUN
cbi-52	182	27	data	datum	NOUN
cbi-52	182	28	for	for	ADP
cbi-52	182	29	which	which	PRON
cbi-52	182	30	the	the	DET
cbi-52	182	31	model	model	NOUN
cbi-52	182	32	will	will	AUX
cbi-52	182	33	provide	provide	VERB
cbi-52	182	34	compression	compression	NOUN
cbi-52	182	35	.	.	PUNCT
cbi-52	183	1	since	since	SCONJ
cbi-52	183	2	montañez	montañez	NOUN
cbi-52	183	3	focused	focus	VERB
cbi-52	183	4	on	on	ADP
cbi-52	183	5	finite	finite	ADJ
cbi-52	183	6	sets	set	NOUN
cbi-52	183	7	of	of	ADP
cbi-52	183	8	data,6	data,6	NOUN
cbi-52	183	9	this	this	PRON
cbi-52	183	10	would	would	AUX
cbi-52	183	11	not	not	PART
cbi-52	183	12	be	be	AUX
cbi-52	183	13	true	true	ADJ
cbi-52	183	14	for	for	ADP
cbi-52	183	15	his	his	PRON
cbi-52	183	16	system	system	NOUN
cbi-52	183	17	.	.	PUNCT
cbi-52	184	1	a	a	DET
cbi-52	184	2	way	way	NOUN
cbi-52	184	3	of	of	AUX
cbi-52	184	4	understand	understand	VERB
cbi-52	184	5	the	the	DET
cbi-52	184	6	relationship	relationship	NOUN
cbi-52	184	7	between	between	ADP
cbi-52	184	8	generalized	generalized	ADJ
cbi-52	184	9	information	information	NOUN
cbi-52	184	10	and	and	CCONJ
cbi-52	184	11	the	the	DET
cbi-52	184	12	results	result	NOUN
cbi-52	184	13	of	of	ADP
cbi-52	184	14	montañez	montañez	NOUN
cbi-52	184	15	is	be	AUX
cbi-52	184	16	to	to	PART
cbi-52	184	17	say	say	VERB
cbi-52	184	18	that	that	SCONJ
cbi-52	184	19	generalized	generalized	ADJ
cbi-52	184	20	information	information	NOUN
cbi-52	184	21	provides	provide	VERB
cbi-52	184	22	a	a	DET
cbi-52	184	23	way	way	NOUN
cbi-52	184	24	of	of	ADP
cbi-52	184	25	knowing	know	VERB
cbi-52	184	26	whether	whether	SCONJ
cbi-52	184	27	or	or	CCONJ
cbi-52	184	28	not	not	PART
cbi-52	184	29	your	your	PRON
cbi-52	184	30	dataset	dataset	NOUN
cbi-52	184	31	is	be	AUX
cbi-52	184	32	sufficiently	sufficiently	ADV
cbi-52	184	33	large	large	ADJ
cbi-52	184	34	to	to	PART
cbi-52	184	35	provide	provide	VERB
cbi-52	184	36	enough	enough	ADJ
cbi-52	184	37	information	information	NOUN
cbi-52	184	38	to	to	ADP
cbi-52	184	39	the	the	DET
cbi-52	184	40	hypothesis	hypothesis	NOUN
cbi-52	184	41	space	space	NOUN
cbi-52	184	42	to	to	PART
cbi-52	184	43	be	be	AUX
cbi-52	184	44	confident	confident	ADJ
cbi-52	184	45	that	that	SCONJ
cbi-52	184	46	the	the	DET
cbi-52	184	47	hypothesis	hypothesis	NOUN
cbi-52	184	48	is	be	AUX
cbi-52	184	49	doing	do	VERB
cbi-52	184	50	its	its	PRON
cbi-52	184	51	job	job	NOUN
cbi-52	184	52	.	.	PUNCT
cbi-52	185	1	in	in	ADP
cbi-52	185	2	other	other	ADJ
cbi-52	185	3	words	word	NOUN
cbi-52	185	4	,	,	PUNCT
cbi-52	185	5	generalized	generalized	ADJ
cbi-52	185	6	in6section	in6section	NOUN
cbi-52	185	7	3.1	3.1	NUM
cbi-52	185	8	of	of	ADP
cbi-52	185	9	montañez	montañez	NOUN
cbi-52	185	10	(	(	PUNCT
cbi-52	185	11	2017	2017	NUM
cbi-52	185	12	)	)	PUNCT
cbi-52	185	13	says	say	VERB
cbi-52	185	14	,	,	PUNCT
cbi-52	185	15	“	"	PUNCT
cbi-52	185	16	we	we	PRON
cbi-52	185	17	limit	limit	VERB
cbi-52	185	18	ourselves	ourselves	PRON
cbi-52	185	19	to	to	PART
cbi-52	185	20	finite	finite	VERB
cbi-52	185	21	,	,	PUNCT
cbi-52	185	22	discrete	discrete	ADJ
cbi-52	185	23	search	search	NOUN
cbi-52	185	24	spaces	space	NOUN
cbi-52	185	25	,	,	PUNCT
cbi-52	185	26	which	which	PRON
cbi-52	185	27	entails	entail	VERB
cbi-52	185	28	little	little	ADJ
cbi-52	185	29	loss	loss	NOUN
cbi-52	185	30	of	of	ADP
cbi-52	185	31	generality	generality	NOUN
cbi-52	185	32	when	when	SCONJ
cbi-52	185	33	considering	consider	VERB
cbi-52	185	34	search	search	NOUN
cbi-52	185	35	spaces	space	NOUN
cbi-52	185	36	fully	fully	ADV
cbi-52	185	37	representable	representable	ADJ
cbi-52	185	38	on	on	ADP
cbi-52	185	39	physical	physical	ADJ
cbi-52	185	40	computer	computer	NOUN
cbi-52	185	41	hardware	hardware	NOUN
cbi-52	185	42	within	within	ADP
cbi-52	185	43	a	a	DET
cbi-52	185	44	finite	finite	ADJ
cbi-52	185	45	time	time	NOUN
cbi-52	185	46	.	.	PUNCT
cbi-52	185	47	”	"	PUNCT
cbi-52	186	1	volume	volume	NOUN
cbi-52	186	2	1	1	NUM
cbi-52	186	3	,	,	PUNCT
cbi-52	186	4	issue	issue	NOUN
cbi-52	186	5	2	2	NUM
cbi-52	186	6	12	12	NUM
cbi-52	186	7	.	.	PUNCT
cbi-52	187	1	comparison	comparison	NOUN
cbi-52	187	2	with	with	ADP
cbi-52	187	3	other	other	ADJ
cbi-52	187	4	machine	machine	NOUN
cbi-52	187	5	learning	learn	VERB
cbi-52	187	6	systems	system	NOUN
cbi-52	187	7	19	19	NUM
cbi-52	187	8	formation	formation	NOUN
cbi-52	187	9	is	be	AUX
cbi-52	187	10	able	able	ADJ
cbi-52	187	11	to	to	PART
cbi-52	187	12	detect	detect	VERB
cbi-52	187	13	whether	whether	SCONJ
cbi-52	187	14	or	or	CCONJ
cbi-52	187	15	not	not	PART
cbi-52	187	16	the	the	DET
cbi-52	187	17	bias	bias	NOUN
cbi-52	187	18	in	in	ADP
cbi-52	187	19	the	the	DET
cbi-52	187	20	hypothesis	hypothesis	NOUN
cbi-52	187	21	space	space	NOUN
cbi-52	187	22	has	have	VERB
cbi-52	187	23	sufficient	sufficient	ADJ
cbi-52	187	24	mutual	mutual	ADJ
cbi-52	187	25	information	information	NOUN
cbi-52	187	26	with	with	ADP
cbi-52	187	27	the	the	DET
cbi-52	187	28	training	training	NOUN
cbi-52	187	29	set	set	VERB
cbi-52	187	30	in	in	ADP
cbi-52	187	31	order	order	NOUN
cbi-52	187	32	to	to	PART
cbi-52	187	33	have	have	AUX
cbi-52	187	34	confidence	confidence	NOUN
cbi-52	187	35	that	that	SCONJ
cbi-52	187	36	a	a	DET
cbi-52	187	37	given	give	VERB
cbi-52	187	38	hypothesis	hypothesis	NOUN
cbi-52	187	39	likely	likely	ADV
cbi-52	187	40	also	also	ADV
cbi-52	187	41	shares	share	VERB
cbi-52	187	42	some	some	DET
cbi-52	187	43	amount	amount	NOUN
cbi-52	187	44	of	of	ADP
cbi-52	187	45	mutual	mutual	ADJ
cbi-52	187	46	information	information	NOUN
cbi-52	187	47	with	with	ADP
cbi-52	187	48	the	the	DET
cbi-52	187	49	underlying	underlie	VERB
cbi-52	187	50	data	datum	NOUN
cbi-52	187	51	set	set	VERB
cbi-52	187	52	.	.	PUNCT
cbi-52	188	1	it	it	PRON
cbi-52	188	2	does	do	AUX
cbi-52	188	3	not	not	PART
cbi-52	188	4	say	say	VERB
cbi-52	188	5	anything	anything	PRON
cbi-52	188	6	about	about	ADP
cbi-52	188	7	whether	whether	SCONJ
cbi-52	188	8	or	or	CCONJ
cbi-52	188	9	not	not	PART
cbi-52	188	10	a	a	DET
cbi-52	188	11	given	give	VERB
cbi-52	188	12	hypothesis	hypothesis	NOUN
cbi-52	188	13	space	space	NOUN
cbi-52	188	14	is	be	AUX
cbi-52	188	15	sufficiently	sufficiently	ADV
cbi-52	188	16	biased	biased	ADJ
cbi-52	188	17	in	in	ADP
cbi-52	188	18	order	order	NOUN
cbi-52	188	19	to	to	PART
cbi-52	188	20	do	do	AUX
cbi-52	188	21	this	this	PRON
cbi-52	188	22	with	with	ADP
cbi-52	188	23	a	a	DET
cbi-52	188	24	particular	particular	ADJ
cbi-52	188	25	size	size	NOUN
cbi-52	188	26	of	of	ADP
cbi-52	188	27	training	training	NOUN
cbi-52	188	28	data	datum	NOUN
cbi-52	188	29	,	,	PUNCT
cbi-52	188	30	or	or	CCONJ
cbi-52	188	31	even	even	ADV
cbi-52	188	32	if	if	SCONJ
cbi-52	188	33	the	the	DET
cbi-52	188	34	underlying	underlie	VERB
cbi-52	188	35	structure	structure	NOUN
cbi-52	188	36	to	to	ADP
cbi-52	188	37	the	the	DET
cbi-52	188	38	system	system	NOUN
cbi-52	188	39	can	can	AUX
cbi-52	188	40	be	be	AUX
cbi-52	188	41	modeled	model	VERB
cbi-52	188	42	with	with	ADP
cbi-52	188	43	a	a	DET
cbi-52	188	44	finite	finite	ADJ
cbi-52	188	45	model	model	NOUN
cbi-52	188	46	in	in	ADP
cbi-52	188	47	the	the	DET
cbi-52	188	48	hypothesis	hypothesis	NOUN
cbi-52	188	49	space	space	NOUN
cbi-52	188	50	.	.	PUNCT
cbi-52	189	1	generalized	generalized	ADJ
cbi-52	189	2	information	information	NOUN
cbi-52	189	3	does	do	AUX
cbi-52	189	4	not	not	PART
cbi-52	189	5	say	say	VERB
cbi-52	189	6	that	that	SCONJ
cbi-52	189	7	a	a	DET
cbi-52	189	8	model	model	NOUN
cbi-52	189	9	that	that	PRON
cbi-52	189	10	does	do	AUX
cbi-52	189	11	not	not	PART
cbi-52	189	12	exhibit	exhibit	VERB
cbi-52	189	13	generalized	generalized	ADJ
cbi-52	189	14	information	information	NOUN
cbi-52	189	15	is	be	AUX
cbi-52	189	16	incorrect	incorrect	ADJ
cbi-52	189	17	.	.	PUNCT
cbi-52	190	1	rather	rather	ADV
cbi-52	190	2	,	,	PUNCT
cbi-52	190	3	it	it	PRON
cbi-52	190	4	says	say	VERB
cbi-52	190	5	that	that	SCONJ
cbi-52	190	6	there	there	PRON
cbi-52	190	7	is	be	VERB
cbi-52	190	8	not	not	PART
cbi-52	190	9	sufficient	sufficient	ADJ
cbi-52	190	10	data	datum	NOUN
cbi-52	190	11	to	to	PART
cbi-52	190	12	know	know	VERB
cbi-52	190	13	,	,	PUNCT
cbi-52	190	14	based	base	VERB
cbi-52	190	15	on	on	ADP
cbi-52	190	16	the	the	DET
cbi-52	190	17	data	datum	NOUN
cbi-52	190	18	itself	itself	PRON
cbi-52	190	19	,	,	PUNCT
cbi-52	190	20	that	that	SCONJ
cbi-52	190	21	it	it	PRON
cbi-52	190	22	is	be	AUX
cbi-52	190	23	true	true	ADJ
cbi-52	190	24	.	.	PUNCT
cbi-52	191	1	for	for	ADP
cbi-52	191	2	instance	instance	NOUN
cbi-52	191	3	,	,	PUNCT
cbi-52	191	4	if	if	SCONJ
cbi-52	191	5	we	we	PRON
cbi-52	191	6	are	be	AUX
cbi-52	191	7	given	give	VERB
cbi-52	191	8	only	only	ADV
cbi-52	191	9	a	a	DET
cbi-52	191	10	single	single	ADJ
cbi-52	191	11	data	data	NOUN
cbi-52	191	12	point	point	NOUN
cbi-52	191	13	,	,	PUNCT
cbi-52	191	14	since	since	SCONJ
cbi-52	191	15	it	it	PRON
cbi-52	191	16	is	be	AUX
cbi-52	191	17	presumably	presumably	ADV
cbi-52	191	18	based	base	VERB
cbi-52	191	19	on	on	ADP
cbi-52	191	20	some	some	DET
cbi-52	191	21	real	real	ADJ
cbi-52	191	22	phenomena	phenomenon	NOUN
cbi-52	191	23	,	,	PUNCT
cbi-52	191	24	there	there	PRON
cbi-52	191	25	is	be	VERB
cbi-52	191	26	some	some	DET
cbi-52	191	27	model	model	NOUN
cbi-52	191	28	about	about	ADP
cbi-52	191	29	that	that	DET
cbi-52	191	30	data	data	NOUN
cbi-52	191	31	point	point	NOUN
cbi-52	191	32	that	that	PRON
cbi-52	191	33	is	be	AUX
cbi-52	191	34	true	true	ADJ
cbi-52	191	35	.	.	PUNCT
cbi-52	192	1	if	if	SCONJ
cbi-52	192	2	a	a	DET
cbi-52	192	3	good	good	ADJ
cbi-52	192	4	model	model	NOUN
cbi-52	192	5	is	be	AUX
cbi-52	192	6	selected	select	VERB
cbi-52	192	7	,	,	PUNCT
cbi-52	192	8	then	then	ADV
cbi-52	192	9	that	that	DET
cbi-52	192	10	model	model	NOUN
cbi-52	192	11	will	will	AUX
cbi-52	192	12	continue	continue	VERB
cbi-52	192	13	to	to	PART
cbi-52	192	14	be	be	AUX
cbi-52	192	15	true	true	ADJ
cbi-52	192	16	for	for	ADP
cbi-52	192	17	future	future	ADJ
cbi-52	192	18	data	datum	NOUN
cbi-52	192	19	points	point	NOUN
cbi-52	192	20	.	.	PUNCT
cbi-52	193	1	however	however	ADV
cbi-52	193	2	,	,	PUNCT
cbi-52	193	3	it	it	PRON
cbi-52	193	4	is	be	AUX
cbi-52	193	5	impossible	impossible	ADJ
cbi-52	193	6	to	to	PART
cbi-52	193	7	tell	tell	VERB
cbi-52	193	8	from	from	ADP
cbi-52	193	9	that	that	DET
cbi-52	193	10	single	single	ADJ
cbi-52	193	11	point	point	NOUN
cbi-52	193	12	whether	whether	SCONJ
cbi-52	193	13	or	or	CCONJ
cbi-52	193	14	not	not	PART
cbi-52	193	15	the	the	DET
cbi-52	193	16	model	model	NOUN
cbi-52	193	17	matches	match	VERB
cbi-52	193	18	the	the	DET
cbi-52	193	19	data	datum	NOUN
cbi-52	193	20	sufficiently	sufficiently	ADV
cbi-52	193	21	.	.	PUNCT
cbi-52	194	1	a	a	DET
cbi-52	194	2	given	give	VERB
cbi-52	194	3	modeller	modeller	NOUN
cbi-52	194	4	may	may	AUX
cbi-52	194	5	know	know	VERB
cbi-52	194	6	from	from	ADP
cbi-52	194	7	other	other	ADJ
cbi-52	194	8	information	information	NOUN
cbi-52	194	9	they	they	PRON
cbi-52	194	10	know	know	VERB
cbi-52	194	11	about	about	ADP
cbi-52	194	12	the	the	DET
cbi-52	194	13	problem	problem	NOUN
cbi-52	194	14	whether	whether	SCONJ
cbi-52	194	15	or	or	CCONJ
cbi-52	194	16	not	not	PART
cbi-52	194	17	the	the	DET
cbi-52	194	18	model	model	NOUN
cbi-52	194	19	is	be	AUX
cbi-52	194	20	correct	correct	ADJ
cbi-52	194	21	,	,	PUNCT
cbi-52	194	22	but	but	CCONJ
cbi-52	194	23	not	not	PART
cbi-52	194	24	from	from	ADP
cbi-52	194	25	the	the	DET
cbi-52	194	26	data	datum	NOUN
cbi-52	194	27	itself	itself	PRON
cbi-52	194	28	.	.	PUNCT
cbi-52	195	1	generalized	generalized	ADJ
cbi-52	195	2	information	information	NOUN
cbi-52	195	3	tells	tell	VERB
cbi-52	195	4	you	you	PRON
cbi-52	195	5	the	the	DET
cbi-52	195	6	cutoff	cutoff	NOUN
cbi-52	195	7	point	point	NOUN
cbi-52	195	8	for	for	ADP
cbi-52	195	9	when	when	SCONJ
cbi-52	195	10	you	you	PRON
cbi-52	195	11	can	can	AUX
cbi-52	195	12	know	know	VERB
cbi-52	195	13	,	,	PUNCT
cbi-52	195	14	based	base	VERB
cbi-52	195	15	on	on	ADP
cbi-52	195	16	the	the	DET
cbi-52	195	17	data	datum	NOUN
cbi-52	195	18	itself	itself	PRON
cbi-52	195	19	,	,	PUNCT
cbi-52	195	20	when	when	SCONJ
cbi-52	195	21	generalization	generalization	NOUN
cbi-52	195	22	is	be	AUX
cbi-52	195	23	occurring	occur	VERB
cbi-52	195	24	.	.	PUNCT
cbi-52	196	1	11	11	NUM
cbi-52	196	2	benefits	benefit	NOUN
cbi-52	196	3	of	of	ADP
cbi-52	196	4	generalized	generalized	ADJ
cbi-52	196	5	information	information	NOUN
cbi-52	196	6	generalized	generalize	VERB
cbi-52	196	7	information	information	NOUN
cbi-52	196	8	offers	offer	VERB
cbi-52	196	9	several	several	ADJ
cbi-52	196	10	benefits	benefit	NOUN
cbi-52	196	11	over	over	ADP
cbi-52	196	12	other	other	ADJ
cbi-52	196	13	inferential	inferential	ADJ
cbi-52	196	14	models	model	NOUN
cbi-52	196	15	.	.	PUNCT
cbi-52	197	1	as	as	SCONJ
cbi-52	197	2	noted	note	VERB
cbi-52	197	3	in	in	ADP
cbi-52	197	4	section	section	NOUN
cbi-52	197	5	4	4	NUM
cbi-52	197	6	,	,	PUNCT
cbi-52	197	7	generalized	generalized	ADJ
cbi-52	197	8	information	information	NOUN
cbi-52	197	9	is	be	AUX
cbi-52	197	10	not	not	PART
cbi-52	197	11	the	the	DET
cbi-52	197	12	first	first	ADJ
cbi-52	197	13	inferential	inferential	ADJ
cbi-52	197	14	system	system	NOUN
cbi-52	197	15	to	to	PART
cbi-52	197	16	utilize	utilize	VERB
cbi-52	197	17	occam	occam	PROPN
cbi-52	197	18	’s	’s	PART
cbi-52	197	19	razor	razor	NOUN
cbi-52	197	20	as	as	ADP
cbi-52	197	21	a	a	DET
cbi-52	197	22	foundation	foundation	NOUN
cbi-52	197	23	stone	stone	NOUN
cbi-52	197	24	.	.	PUNCT
cbi-52	198	1	however	however	ADV
cbi-52	198	2	,	,	PUNCT
cbi-52	198	3	generalized	generalized	ADJ
cbi-52	198	4	information	information	NOUN
cbi-52	198	5	offers	offer	VERB
cbi-52	198	6	several	several	ADJ
cbi-52	198	7	benefits	benefit	NOUN
cbi-52	198	8	,	,	PUNCT
cbi-52	198	9	including	include	VERB
cbi-52	198	10	:	:	PUNCT
cbi-52	198	11	•	•	ADP
cbi-52	198	12	it	it	PRON
cbi-52	198	13	provides	provide	VERB
cbi-52	198	14	a	a	DET
cbi-52	198	15	minimum	minimum	ADJ
cbi-52	198	16	threshold	threshold	NOUN
cbi-52	198	17	for	for	ADP
cbi-52	198	18	establishing	establish	VERB
cbi-52	198	19	whether	whether	SCONJ
cbi-52	198	20	a	a	DET
cbi-52	198	21	model	model	NOUN
cbi-52	198	22	is	be	AUX
cbi-52	198	23	a	a	DET
cbi-52	198	24	valid	valid	ADJ
cbi-52	198	25	generalization	generalization	NOUN
cbi-52	198	26	of	of	ADP
cbi-52	198	27	the	the	DET
cbi-52	198	28	dataset	dataset	NOUN
cbi-52	198	29	.	.	PUNCT
cbi-52	199	1	•	•	NUM
cbi-52	199	2	the	the	DET
cbi-52	199	3	techniques	technique	NOUN
cbi-52	199	4	are	be	AUX
cbi-52	199	5	grounded	ground	VERB
cbi-52	199	6	philosophically	philosophically	ADV
cbi-52	199	7	—	—	PUNCT
cbi-52	199	8	each	each	DET
cbi-52	199	9	step	step	NOUN
cbi-52	199	10	is	be	AUX
cbi-52	199	11	the	the	DET
cbi-52	199	12	result	result	NOUN
cbi-52	199	13	of	of	ADP
cbi-52	199	14	philosophical	philosophical	ADJ
cbi-52	199	15	analysis	analysis	NOUN
cbi-52	199	16	of	of	ADP
cbi-52	199	17	the	the	DET
cbi-52	199	18	goals	goal	NOUN
cbi-52	199	19	we	we	PRON
cbi-52	199	20	are	be	AUX
cbi-52	199	21	trying	try	VERB
cbi-52	199	22	to	to	PART
cbi-52	199	23	achieve	achieve	VERB
cbi-52	199	24	.	.	PUNCT
cbi-52	200	1	•	•	ADP
cbi-52	200	2	the	the	DET
cbi-52	200	3	techniques	technique	NOUN
cbi-52	200	4	are	be	AUX
cbi-52	200	5	straightforward	straightforward	ADJ
cbi-52	200	6	—	—	PUNCT
cbi-52	200	7	only	only	ADV
cbi-52	200	8	the	the	DET
cbi-52	200	9	most	most	ADV
cbi-52	200	10	basic	basic	ADJ
cbi-52	200	11	information	information	NOUN
cbi-52	200	12	theory	theory	NOUN
cbi-52	200	13	mathematics	mathematic	NOUN
cbi-52	200	14	are	be	AUX
cbi-52	200	15	required	require	VERB
cbi-52	200	16	to	to	PART
cbi-52	200	17	perform	perform	VERB
cbi-52	200	18	them	they	PRON
cbi-52	200	19	.	.	PUNCT
cbi-52	201	1	•	•	ADP
cbi-52	201	2	the	the	DET
cbi-52	201	3	techniques	technique	NOUN
cbi-52	201	4	are	be	AUX
cbi-52	201	5	adaptable	adaptable	ADJ
cbi-52	201	6	—	—	PUNCT
cbi-52	201	7	it	it	PRON
cbi-52	201	8	is	be	AUX
cbi-52	201	9	not	not	PART
cbi-52	201	10	dependent	dependent	ADJ
cbi-52	201	11	on	on	ADP
cbi-52	201	12	any	any	DET
cbi-52	201	13	particular	particular	ADJ
cbi-52	201	14	type	type	NOUN
cbi-52	201	15	of	of	ADP
cbi-52	201	16	model	model	NOUN
cbi-52	201	17	being	be	AUX
cbi-52	201	18	used	use	VERB
cbi-52	201	19	.	.	PUNCT
cbi-52	202	1	•	•	NUM
cbi-52	202	2	generalized	generalized	ADJ
cbi-52	202	3	information	information	NOUN
cbi-52	202	4	allows	allow	VERB
cbi-52	202	5	use	use	NOUN
cbi-52	202	6	of	of	ADP
cbi-52	202	7	more	more	ADJ
cbi-52	202	8	data	datum	NOUN
cbi-52	202	9	—	—	PUNCT
cbi-52	202	10	generalizations	generalization	NOUN
cbi-52	202	11	can	can	AUX
cbi-52	202	12	be	be	AUX
cbi-52	202	13	made	make	VERB
cbi-52	202	14	using	use	VERB
cbi-52	202	15	the	the	DET
cbi-52	202	16	entire	entire	ADJ
cbi-52	202	17	dataset.7	dataset.7	NOUN
cbi-52	202	18	7	7	NUM
cbi-52	202	19	in	in	ADP
cbi-52	202	20	typical	typical	ADJ
cbi-52	202	21	machine	machine	NOUN
cbi-52	202	22	learning	learning	NOUN
cbi-52	202	23	techniques	technique	NOUN
cbi-52	202	24	,	,	PUNCT
cbi-52	202	25	some	some	PRON
cbi-52	202	26	of	of	ADP
cbi-52	202	27	the	the	DET
cbi-52	202	28	data	datum	NOUN
cbi-52	202	29	has	have	VERB
cbi-52	202	30	to	to	PART
cbi-52	202	31	be	be	AUX
cbi-52	202	32	additionally	additionally	ADV
cbi-52	202	33	,	,	PUNCT
cbi-52	202	34	while	while	SCONJ
cbi-52	202	35	a	a	DET
cbi-52	202	36	thoroughly	thoroughly	ADV
cbi-52	202	37	rigorous	rigorous	ADJ
cbi-52	202	38	application	application	NOUN
cbi-52	202	39	of	of	ADP
cbi-52	202	40	these	these	DET
cbi-52	202	41	ideas	idea	NOUN
cbi-52	202	42	in	in	ADP
cbi-52	202	43	software	software	NOUN
cbi-52	202	44	may	may	AUX
cbi-52	202	45	require	require	VERB
cbi-52	202	46	a	a	DET
cbi-52	202	47	good	good	ADJ
cbi-52	202	48	amount	amount	NOUN
cbi-52	202	49	of	of	ADP
cbi-52	202	50	programming	programming	NOUN
cbi-52	202	51	effort,8	effort,8	NOUN
cbi-52	202	52	a	a	DET
cbi-52	202	53	“	"	PUNCT
cbi-52	202	54	good	good	ADJ
cbi-52	202	55	enough	enough	ADV
cbi-52	202	56	”	"	PUNCT
cbi-52	202	57	approach	approach	NOUN
cbi-52	202	58	is	be	AUX
cbi-52	202	59	fairly	fairly	ADV
cbi-52	202	60	straightforward	straightforward	ADJ
cbi-52	202	61	to	to	PART
cbi-52	202	62	implement	implement	VERB
cbi-52	202	63	.	.	PUNCT
cbi-52	203	1	the	the	DET
cbi-52	203	2	amount	amount	NOUN
cbi-52	203	3	of	of	ADP
cbi-52	203	4	active	active	ADJ
cbi-52	203	5	information	information	NOUN
cbi-52	203	6	can	can	AUX
cbi-52	203	7	be	be	AUX
cbi-52	203	8	determined	determine	VERB
cbi-52	203	9	statistically	statistically	ADV
cbi-52	203	10	,	,	PUNCT
cbi-52	203	11	and	and	CCONJ
cbi-52	203	12	the	the	DET
cbi-52	203	13	data	data	NOUN
cbi-52	203	14	size	size	NOUN
cbi-52	203	15	and	and	CCONJ
cbi-52	203	16	model	model	NOUN
cbi-52	203	17	size	size	NOUN
cbi-52	203	18	can	can	AUX
cbi-52	203	19	both	both	PRON
cbi-52	203	20	be	be	AUX
cbi-52	203	21	evaluated	evaluate	VERB
cbi-52	203	22	simply	simply	ADV
cbi-52	203	23	by	by	ADP
cbi-52	203	24	checking	check	VERB
cbi-52	203	25	storage	storage	NOUN
cbi-52	203	26	size	size	NOUN
cbi-52	203	27	inside	inside	ADP
cbi-52	203	28	the	the	DET
cbi-52	203	29	program	program	NOUN
cbi-52	203	30	itself	itself	PRON
cbi-52	203	31	.	.	PUNCT
cbi-52	204	1	12	12	NUM
cbi-52	204	2	comparison	comparison	NOUN
cbi-52	204	3	with	with	ADP
cbi-52	204	4	other	other	ADJ
cbi-52	204	5	machine	machine	NOUN
cbi-52	204	6	learning	learning	NOUN
cbi-52	204	7	systems	system	NOUN
cbi-52	204	8	the	the	DET
cbi-52	204	9	first	first	ADJ
cbi-52	204	10	thing	thing	NOUN
cbi-52	204	11	to	to	PART
cbi-52	204	12	note	note	VERB
cbi-52	204	13	about	about	ADP
cbi-52	204	14	generalized	generalized	ADJ
cbi-52	204	15	information	information	NOUN
cbi-52	204	16	is	be	AUX
cbi-52	204	17	that	that	SCONJ
cbi-52	204	18	it	it	PRON
cbi-52	204	19	is	be	AUX
cbi-52	204	20	not	not	PART
cbi-52	204	21	necessarily	necessarily	ADV
cbi-52	204	22	in	in	ADP
cbi-52	204	23	competition	competition	NOUN
cbi-52	204	24	with	with	ADP
cbi-52	204	25	other	other	ADJ
cbi-52	204	26	machine	machine	NOUN
cbi-52	204	27	learning	learning	NOUN
cbi-52	204	28	systems	system	NOUN
cbi-52	204	29	.	.	PUNCT
cbi-52	205	1	in	in	ADP
cbi-52	205	2	fact	fact	NOUN
cbi-52	205	3	,	,	PUNCT
cbi-52	205	4	generalized	generalized	ADJ
cbi-52	205	5	information	information	NOUN
cbi-52	205	6	does	do	AUX
cbi-52	205	7	not	not	PART
cbi-52	205	8	specify	specify	VERB
cbi-52	205	9	either	either	CCONJ
cbi-52	205	10	(	(	PUNCT
cbi-52	205	11	a	a	X
cbi-52	205	12	)	)	PUNCT
cbi-52	205	13	the	the	DET
cbi-52	205	14	nature	nature	NOUN
cbi-52	205	15	of	of	ADP
cbi-52	205	16	training	training	NOUN
cbi-52	205	17	algorithm	algorithm	NOUN
cbi-52	205	18	,	,	PUNCT
cbi-52	205	19	or	or	CCONJ
cbi-52	205	20	even	even	ADV
cbi-52	205	21	(	(	PUNCT
cbi-52	205	22	b	b	X
cbi-52	205	23	)	)	PUNCT
cbi-52	205	24	the	the	DET
cbi-52	205	25	nature	nature	NOUN
cbi-52	205	26	of	of	ADP
cbi-52	205	27	the	the	DET
cbi-52	205	28	model	model	NOUN
cbi-52	205	29	being	be	AUX
cbi-52	205	30	used	use	VERB
cbi-52	205	31	.	.	PUNCT
cbi-52	206	1	generalized	generalized	ADJ
cbi-52	206	2	information	information	NOUN
cbi-52	206	3	,	,	PUNCT
cbi-52	206	4	as	as	ADP
cbi-52	206	5	such	such	ADJ
cbi-52	206	6	,	,	PUNCT
cbi-52	206	7	is	be	AUX
cbi-52	206	8	fully	fully	ADV
cbi-52	206	9	compatible	compatible	ADJ
cbi-52	206	10	with	with	ADP
cbi-52	206	11	any	any	DET
cbi-52	206	12	training	training	NOUN
cbi-52	206	13	algorithm	algorithm	NOUN
cbi-52	206	14	or	or	CCONJ
cbi-52	206	15	any	any	DET
cbi-52	206	16	model	model	NOUN
cbi-52	206	17	.	.	PUNCT
cbi-52	207	1	generalized	generalized	ADJ
cbi-52	207	2	information	information	NOUN
cbi-52	207	3	is	be	AUX
cbi-52	207	4	only	only	ADV
cbi-52	207	5	a	a	DET
cbi-52	207	6	test	test	NOUN
cbi-52	207	7	of	of	ADP
cbi-52	207	8	the	the	DET
cbi-52	207	9	outcomes	outcome	NOUN
cbi-52	207	10	of	of	ADP
cbi-52	207	11	a	a	DET
cbi-52	207	12	machine	machine	NOUN
cbi-52	207	13	learning	learn	VERB
cbi-52	207	14	system	system	NOUN
cbi-52	207	15	.	.	PUNCT
cbi-52	208	1	for	for	ADP
cbi-52	208	2	instance	instance	NOUN
cbi-52	208	3	,	,	PUNCT
cbi-52	208	4	for	for	ADP
cbi-52	208	5	a	a	DET
cbi-52	208	6	decision	decision	NOUN
cbi-52	208	7	tree	tree	NOUN
cbi-52	208	8	,	,	PUNCT
cbi-52	208	9	generalized	generalized	ADJ
cbi-52	208	10	information	information	NOUN
cbi-52	208	11	would	would	AUX
cbi-52	208	12	take	take	VERB
cbi-52	208	13	into	into	ADP
cbi-52	208	14	account	account	NOUN
cbi-52	208	15	the	the	DET
cbi-52	208	16	number	number	NOUN
cbi-52	208	17	and	and	CCONJ
cbi-52	208	18	size	size	NOUN
cbi-52	208	19	of	of	ADP
cbi-52	208	20	nodes	node	NOUN
cbi-52	208	21	(	(	PUNCT
cbi-52	208	22	i.e.	i.e.	X
cbi-52	208	23	,	,	PUNCT
cbi-52	208	24	the	the	DET
cbi-52	208	25	model	model	NOUN
cbi-52	208	26	size	size	NOUN
cbi-52	208	27	)	)	PUNCT
cbi-52	208	28	and	and	CCONJ
cbi-52	208	29	compare	compare	VERB
cbi-52	208	30	it	it	PRON
cbi-52	208	31	to	to	ADP
cbi-52	208	32	its	its	PRON
cbi-52	208	33	accuracy	accuracy	NOUN
cbi-52	208	34	on	on	ADP
cbi-52	208	35	the	the	DET
cbi-52	208	36	training	training	NOUN
cbi-52	208	37	data	datum	NOUN
cbi-52	208	38	.	.	PUNCT
cbi-52	209	1	however	however	ADV
cbi-52	209	2	,	,	PUNCT
cbi-52	209	3	some	some	DET
cbi-52	209	4	machine	machine	NOUN
cbi-52	209	5	learning	learn	VERB
cbi-52	209	6	systems	system	NOUN
cbi-52	209	7	do	do	AUX
cbi-52	209	8	provide	provide	VERB
cbi-52	209	9	opportunities	opportunity	NOUN
cbi-52	209	10	for	for	ADP
cbi-52	209	11	comparison	comparison	NOUN
cbi-52	209	12	.	.	PUNCT
cbi-52	210	1	for	for	ADP
cbi-52	210	2	instance	instance	NOUN
cbi-52	210	3	,	,	PUNCT
cbi-52	210	4	take	take	VERB
cbi-52	210	5	the	the	DET
cbi-52	210	6	k	k	NOUN
cbi-52	210	7	-	-	PUNCT
cbi-52	210	8	nearest	near	ADJ
cbi-52	210	9	-	-	PUNCT
cbi-52	210	10	neighbor	neighbor	NOUN
cbi-52	210	11	(	(	PUNCT
cbi-52	210	12	knn	knn	PROPN
cbi-52	210	13	)	)	PUNCT
cbi-52	210	14	algorithm	algorithm	NOUN
cbi-52	210	15	.	.	PUNCT
cbi-52	211	1	for	for	ADP
cbi-52	211	2	this	this	DET
cbi-52	211	3	algorithm	algorithm	NOUN
cbi-52	211	4	,	,	PUNCT
cbi-52	211	5	the	the	DET
cbi-52	211	6	model	model	NOUN
cbi-52	211	7	is	be	AUX
cbi-52	211	8	the	the	DET
cbi-52	211	9	training	training	NOUN
cbi-52	211	10	data	datum	NOUN
cbi-52	211	11	.	.	PUNCT
cbi-52	212	1	therefore	therefore	ADV
cbi-52	212	2	,	,	PUNCT
cbi-52	212	3	according	accord	VERB
cbi-52	212	4	to	to	ADP
cbi-52	212	5	generalized	generalized	ADJ
cbi-52	212	6	information	information	NOUN
cbi-52	212	7	,	,	PUNCT
cbi-52	212	8	a	a	DET
cbi-52	212	9	naive	naive	ADJ
cbi-52	212	10	implementation	implementation	NOUN
cbi-52	212	11	of	of	ADP
cbi-52	212	12	knn	knn	PROPN
cbi-52	212	13	can	can	AUX
cbi-52	212	14	not	not	PART
cbi-52	212	15	exhibit	exhibit	VERB
cbi-52	212	16	generalized	generalized	ADJ
cbi-52	212	17	information	information	NOUN
cbi-52	212	18	.	.	PUNCT
cbi-52	213	1	however	however	ADV
cbi-52	213	2	,	,	PUNCT
cbi-52	213	3	knn	knn	PROPN
cbi-52	213	4	could	could	AUX
cbi-52	213	5	be	be	AUX
cbi-52	213	6	tweaked	tweak	VERB
cbi-52	213	7	to	to	PART
cbi-52	213	8	do	do	VERB
cbi-52	213	9	so	so	ADV
cbi-52	213	10	.	.	PUNCT
cbi-52	214	1	for	for	ADP
cbi-52	214	2	instance	instance	NOUN
cbi-52	214	3	,	,	PUNCT
cbi-52	214	4	one	one	PRON
cbi-52	214	5	could	could	AUX
cbi-52	214	6	establish	establish	VERB
cbi-52	214	7	a	a	DET
cbi-52	214	8	subset	subset	NOUN
cbi-52	214	9	of	of	ADP
cbi-52	214	10	training	training	NOUN
cbi-52	214	11	data	datum	NOUN
cbi-52	214	12	that	that	PRON
cbi-52	214	13	performs	perform	VERB
cbi-52	214	14	sufficiently	sufficiently	ADV
cbi-52	214	15	well	well	ADV
cbi-52	214	16	in	in	ADP
cbi-52	214	17	order	order	NOUN
cbi-52	214	18	to	to	PART
cbi-52	214	19	be	be	AUX
cbi-52	214	20	considered	consider	VERB
cbi-52	214	21	a	a	DET
cbi-52	214	22	generalization	generalization	NOUN
cbi-52	214	23	.	.	PUNCT
cbi-52	215	1	many	many	ADJ
cbi-52	215	2	statistical	statistical	ADJ
cbi-52	215	3	tests	test	NOUN
cbi-52	215	4	have	have	AUX
cbi-52	215	5	been	be	AUX
cbi-52	215	6	established	establish	VERB
cbi-52	215	7	to	to	PART
cbi-52	215	8	compare	compare	VERB
cbi-52	215	9	two	two	NUM
cbi-52	215	10	alternative	alternative	ADJ
cbi-52	215	11	models	model	NOUN
cbi-52	215	12	,	,	PUNCT
cbi-52	215	13	and	and	CCONJ
cbi-52	215	14	decide	decide	VERB
cbi-52	215	15	which	which	DET
cbi-52	215	16	one	one	NOUN
cbi-52	215	17	is	be	AUX
cbi-52	215	18	more	more	ADV
cbi-52	215	19	likely	likely	ADJ
cbi-52	215	20	to	to	PART
cbi-52	215	21	be	be	AUX
cbi-52	215	22	the	the	DET
cbi-52	215	23	true	true	ADJ
cbi-52	215	24	model	model	NOUN
cbi-52	215	25	,	,	PUNCT
cbi-52	215	26	even	even	ADV
cbi-52	215	27	based	base	VERB
cbi-52	215	28	on	on	ADP
cbi-52	215	29	model	model	NOUN
cbi-52	215	30	size	size	NOUN
cbi-52	215	31	.	.	PUNCT
cbi-52	216	1	the	the	DET
cbi-52	216	2	vuong	vuong	PROPN
cbi-52	216	3	closeness	closeness	PROPN
cbi-52	216	4	test	test	NOUN
cbi-52	216	5	,	,	PUNCT
cbi-52	216	6	for	for	ADP
cbi-52	216	7	instance	instance	NOUN
cbi-52	216	8	,	,	PUNCT
cbi-52	216	9	compares	compare	VERB
cbi-52	216	10	two	two	NUM
cbi-52	216	11	models	model	NOUN
cbi-52	216	12	,	,	PUNCT
cbi-52	216	13	taking	take	VERB
cbi-52	216	14	into	into	ADP
cbi-52	216	15	account	account	NOUN
cbi-52	216	16	the	the	DET
cbi-52	216	17	number	number	NOUN
cbi-52	216	18	of	of	ADP
cbi-52	216	19	parameters	parameter	NOUN
cbi-52	216	20	in	in	ADP
cbi-52	216	21	each	each	DET
cbi-52	216	22	model	model	NOUN
cbi-52	216	23	.	.	PUNCT
cbi-52	217	1	many	many	ADJ
cbi-52	217	2	other	other	ADJ
cbi-52	217	3	similar	similar	ADJ
cbi-52	217	4	criteria	criterion	NOUN
cbi-52	217	5	are	be	AUX
cbi-52	217	6	available	available	ADJ
cbi-52	217	7	,	,	PUNCT
cbi-52	217	8	including	include	VERB
cbi-52	217	9	the	the	DET
cbi-52	217	10	akaike	akaike	ADJ
cbi-52	217	11	information	information	NOUN
cbi-52	217	12	criterion	criterion	NOUN
cbi-52	217	13	,	,	PUNCT
cbi-52	217	14	the	the	DET
cbi-52	217	15	bayesian	bayesian	ADJ
cbi-52	217	16	information	information	NOUN
cbi-52	217	17	criterion	criterion	NOUN
cbi-52	217	18	,	,	PUNCT
cbi-52	217	19	and	and	CCONJ
cbi-52	217	20	others	other	NOUN
cbi-52	217	21	(	(	PUNCT
cbi-52	217	22	sayyareh	sayyareh	NOUN
cbi-52	217	23	,	,	PUNCT
cbi-52	217	24	obeidi	obeidi	ADJ
cbi-52	217	25	,	,	PUNCT
cbi-52	217	26	and	and	CCONJ
cbi-52	217	27	bar	bar	NOUN
cbi-52	217	28	-	-	PUNCT
cbi-52	217	29	hen	hen	NOUN
cbi-52	217	30	,	,	PUNCT
cbi-52	217	31	2011	2011	NUM
cbi-52	217	32	)	)	PUNCT
cbi-52	217	33	.	.	PUNCT
cbi-52	218	1	in	in	ADP
cbi-52	218	2	the	the	DET
cbi-52	218	3	machine	machine	NOUN
cbi-52	218	4	learning	learn	VERB
cbi-52	218	5	field	field	NOUN
cbi-52	218	6	,	,	PUNCT
cbi-52	218	7	the	the	DET
cbi-52	218	8	principle	principle	NOUN
cbi-52	218	9	of	of	ADP
cbi-52	218	10	solomonoff	solomonoff	ADJ
cbi-52	218	11	induction	induction	NOUN
cbi-52	218	12	inspired	inspire	VERB
cbi-52	218	13	several	several	ADJ
cbi-52	218	14	systems	system	NOUN
cbi-52	218	15	including	include	VERB
cbi-52	218	16	pac	pac	PROPN
cbi-52	218	17	-	-	PUNCT
cbi-52	218	18	learning	learning	PROPN
cbi-52	218	19	(	(	PUNCT
cbi-52	218	20	valiant	valiant	ADJ
cbi-52	218	21	,	,	PUNCT
cbi-52	218	22	1984	1984	NUM
cbi-52	218	23	)	)	PUNCT
cbi-52	218	24	and	and	CCONJ
cbi-52	218	25	minimum	minimum	ADJ
cbi-52	218	26	description	description	NOUN
cbi-52	218	27	length	length	NOUN
cbi-52	218	28	(	(	PUNCT
cbi-52	218	29	grünheld	grünheld	VERB
cbi-52	218	30	back	back	ADV
cbi-52	218	31	in	in	ADP
cbi-52	218	32	order	order	NOUN
cbi-52	218	33	to	to	PART
cbi-52	218	34	test	test	VERB
cbi-52	218	35	the	the	DET
cbi-52	218	36	model	model	NOUN
cbi-52	218	37	on	on	ADP
cbi-52	218	38	the	the	DET
cbi-52	218	39	data	datum	NOUN
cbi-52	218	40	.	.	PUNCT
cbi-52	219	1	since	since	SCONJ
cbi-52	219	2	this	this	DET
cbi-52	219	3	technique	technique	NOUN
cbi-52	219	4	focuses	focus	VERB
cbi-52	219	5	on	on	ADP
cbi-52	219	6	generalization	generalization	NOUN
cbi-52	219	7	rather	rather	ADV
cbi-52	219	8	than	than	ADP
cbi-52	219	9	prediction	prediction	NOUN
cbi-52	219	10	,	,	PUNCT
cbi-52	219	11	all	all	PRON
cbi-52	219	12	of	of	ADP
cbi-52	219	13	the	the	DET
cbi-52	219	14	data	datum	NOUN
cbi-52	219	15	can	can	AUX
cbi-52	219	16	be	be	AUX
cbi-52	219	17	used	use	VERB
cbi-52	219	18	.	.	PUNCT
cbi-52	220	1	8here	8here	X
cbi-52	220	2	,	,	PUNCT
cbi-52	220	3	i	i	PRON
cbi-52	220	4	am	be	AUX
cbi-52	220	5	considering	consider	VERB
cbi-52	220	6	such	such	ADJ
cbi-52	220	7	problems	problem	NOUN
cbi-52	220	8	as	as	ADP
cbi-52	220	9	converting	convert	VERB
cbi-52	220	10	all	all	DET
cbi-52	220	11	data	datum	NOUN
cbi-52	220	12	values	value	NOUN
cbi-52	220	13	to	to	PART
cbi-52	220	14	prefix	prefix	VERB
cbi-52	220	15	-	-	PUNCT
cbi-52	220	16	free	free	ADJ
cbi-52	220	17	formats	format	NOUN
cbi-52	220	18	,	,	PUNCT
cbi-52	220	19	identifying	identify	VERB
cbi-52	220	20	a	a	DET
cbi-52	220	21	fixed	fix	VERB
cbi-52	220	22	language	language	NOUN
cbi-52	220	23	for	for	ADP
cbi-52	220	24	a	a	DET
cbi-52	220	25	model	model	NOUN
cbi-52	220	26	,	,	PUNCT
cbi-52	220	27	establishing	establish	VERB
cbi-52	220	28	the	the	DET
cbi-52	220	29	program	program	NOUN
cbi-52	220	30	size	size	NOUN
cbi-52	220	31	for	for	ADP
cbi-52	220	32	converting	convert	VERB
cbi-52	220	33	a	a	DET
cbi-52	220	34	dataset	dataset	NOUN
cbi-52	220	35	into	into	ADP
cbi-52	220	36	a	a	DET
cbi-52	220	37	model	model	NOUN
cbi-52	220	38	to	to	PART
cbi-52	220	39	determine	determine	VERB
cbi-52	220	40	|d	|d	NOUN
cbi-52	220	41	|	|	ADV
cbi-52	220	42	,	,	PUNCT
cbi-52	220	43	etc	etc	X
cbi-52	220	44	.	.	X
cbi-52	220	45	20	20	NUM
cbi-52	220	46	generalized	generalized	ADJ
cbi-52	220	47	information	information	NOUN
cbi-52	220	48	wald	wald	NOUN
cbi-52	220	49	,	,	PUNCT
cbi-52	220	50	2005	2005	NUM
cbi-52	220	51	)	)	PUNCT
cbi-52	220	52	.	.	PUNCT
cbi-52	221	1	these	these	PRON
cbi-52	221	2	have	have	VERB
cbi-52	221	3	very	very	ADV
cbi-52	221	4	similar	similar	ADJ
cbi-52	221	5	characteristics	characteristic	NOUN
cbi-52	221	6	to	to	ADP
cbi-52	221	7	the	the	DET
cbi-52	221	8	statistical	statistical	ADJ
cbi-52	221	9	criteria	criterion	NOUN
cbi-52	221	10	listed	list	VERB
cbi-52	221	11	above	above	ADV
cbi-52	221	12	,	,	PUNCT
cbi-52	221	13	in	in	SCONJ
cbi-52	221	14	that	that	SCONJ
cbi-52	221	15	they	they	PRON
cbi-52	221	16	base	base	VERB
cbi-52	221	17	their	their	PRON
cbi-52	221	18	model	model	NOUN
cbi-52	221	19	selection	selection	NOUN
cbi-52	221	20	on	on	ADP
cbi-52	221	21	some	some	DET
cbi-52	221	22	combination	combination	NOUN
cbi-52	221	23	of	of	ADP
cbi-52	221	24	model	model	NOUN
cbi-52	221	25	size	size	NOUN
cbi-52	221	26	and	and	CCONJ
cbi-52	221	27	accuracy	accuracy	NOUN
cbi-52	221	28	.	.	PUNCT
cbi-52	222	1	there	there	PRON
cbi-52	222	2	are	be	VERB
cbi-52	222	3	three	three	NUM
cbi-52	222	4	primary	primary	ADJ
cbi-52	222	5	advantages	advantage	NOUN
cbi-52	222	6	to	to	ADP
cbi-52	222	7	generalized	generalize	VERB
cbi-52	222	8	information	information	NOUN
cbi-52	222	9	against	against	ADP
cbi-52	222	10	all	all	PRON
cbi-52	222	11	of	of	ADP
cbi-52	222	12	these	these	DET
cbi-52	222	13	other	other	ADJ
cbi-52	222	14	criteria	criterion	NOUN
cbi-52	222	15	.	.	PUNCT
cbi-52	223	1	1	1	X
cbi-52	223	2	.	.	X
cbi-52	223	3	these	these	DET
cbi-52	223	4	criteria	criterion	NOUN
cbi-52	223	5	only	only	ADV
cbi-52	223	6	work	work	VERB
cbi-52	223	7	for	for	ADP
cbi-52	223	8	parameterized	parameterized	ADJ
cbi-52	223	9	models	model	NOUN
cbi-52	223	10	,	,	PUNCT
cbi-52	223	11	while	while	SCONJ
cbi-52	223	12	generalized	generalized	ADJ
cbi-52	223	13	information	information	NOUN
cbi-52	223	14	can	can	AUX
cbi-52	223	15	operate	operate	VERB
cbi-52	223	16	with	with	ADP
cbi-52	223	17	any	any	DET
cbi-52	223	18	type	type	NOUN
cbi-52	223	19	of	of	ADP
cbi-52	223	20	model	model	NOUN
cbi-52	223	21	,	,	PUNCT
cbi-52	223	22	as	as	ADV
cbi-52	223	23	long	long	ADV
cbi-52	223	24	as	as	SCONJ
cbi-52	223	25	it	it	PRON
cbi-52	223	26	can	can	AUX
cbi-52	223	27	be	be	AUX
cbi-52	223	28	evaluated	evaluate	VERB
cbi-52	223	29	for	for	ADP
cbi-52	223	30	a	a	DET
cbi-52	223	31	size	size	NOUN
cbi-52	223	32	(	(	PUNCT
cbi-52	223	33	which	which	PRON
cbi-52	223	34	means	mean	VERB
cbi-52	223	35	any	any	DET
cbi-52	223	36	computer	computer	NOUN
cbi-52	223	37	-	-	PUNCT
cbi-52	223	38	implementable	implementable	ADJ
cbi-52	223	39	model	model	NOUN
cbi-52	223	40	)	)	PUNCT
cbi-52	223	41	.	.	PUNCT
cbi-52	224	1	2	2	X
cbi-52	224	2	.	.	X
cbi-52	224	3	these	these	DET
cbi-52	224	4	criteria	criterion	NOUN
cbi-52	224	5	are	be	AUX
cbi-52	224	6	only	only	ADV
cbi-52	224	7	relative	relative	ADJ
cbi-52	224	8	comparisons	comparison	NOUN
cbi-52	224	9	.	.	PUNCT
cbi-52	225	1	that	that	PRON
cbi-52	225	2	is	be	AUX
cbi-52	225	3	,	,	PUNCT
cbi-52	225	4	they	they	PRON
cbi-52	225	5	compare	compare	VERB
cbi-52	225	6	models	model	NOUN
cbi-52	225	7	against	against	ADP
cbi-52	225	8	each	each	DET
cbi-52	225	9	other	other	ADJ
cbi-52	225	10	,	,	PUNCT
cbi-52	225	11	not	not	PART
cbi-52	225	12	against	against	ADP
cbi-52	225	13	some	some	DET
cbi-52	225	14	absolute	absolute	ADJ
cbi-52	225	15	standard	standard	NOUN
cbi-52	225	16	.	.	PUNCT
cbi-52	226	1	generalized	generalized	ADJ
cbi-52	226	2	information	information	NOUN
cbi-52	226	3	establishes	establish	VERB
cbi-52	226	4	a	a	DET
cbi-52	226	5	minimum	minimum	ADJ
cbi-52	226	6	criteria	criterion	NOUN
cbi-52	226	7	which	which	PRON
cbi-52	226	8	must	must	AUX
cbi-52	226	9	be	be	AUX
cbi-52	226	10	achieved	achieve	VERB
cbi-52	226	11	—	—	PUNCT
cbi-52	226	12	the	the	DET
cbi-52	226	13	size	size	NOUN
cbi-52	226	14	of	of	ADP
cbi-52	226	15	the	the	DET
cbi-52	226	16	training	training	NOUN
cbi-52	226	17	data	datum	NOUN
cbi-52	226	18	itself	itself	PRON
cbi-52	226	19	.	.	PUNCT
cbi-52	227	1	additionally	additionally	ADV
cbi-52	227	2	,	,	PUNCT
cbi-52	227	3	using	use	VERB
cbi-52	227	4	active	active	ADJ
cbi-52	227	5	information	information	NOUN
cbi-52	227	6	,	,	PUNCT
cbi-52	227	7	this	this	DET
cbi-52	227	8	size	size	NOUN
cbi-52	227	9	can	can	AUX
cbi-52	227	10	be	be	AUX
cbi-52	227	11	adjusted	adjust	VERB
cbi-52	227	12	based	base	VERB
cbi-52	227	13	on	on	ADP
cbi-52	227	14	the	the	DET
cbi-52	227	15	degree	degree	NOUN
cbi-52	227	16	of	of	ADP
cbi-52	227	17	accuracy	accuracy	NOUN
cbi-52	227	18	which	which	PRON
cbi-52	227	19	is	be	AUX
cbi-52	227	20	attained	attain	VERB
cbi-52	227	21	.	.	PUNCT
cbi-52	228	1	3	3	X
cbi-52	228	2	.	.	NUM
cbi-52	228	3	generalized	generalized	ADJ
cbi-52	228	4	information	information	NOUN
cbi-52	228	5	is	be	AUX
cbi-52	228	6	a	a	DET
cbi-52	228	7	much	much	ADV
cbi-52	228	8	more	more	ADV
cbi-52	228	9	straightforward	straightforward	ADJ
cbi-52	228	10	test	test	NOUN
cbi-52	228	11	.	.	PUNCT
cbi-52	229	1	it	it	PRON
cbi-52	229	2	is	be	AUX
cbi-52	229	3	understandable	understandable	ADJ
cbi-52	229	4	by	by	ADP
cbi-52	229	5	nearly	nearly	ADV
cbi-52	229	6	anyone	anyone	PRON
cbi-52	229	7	with	with	ADP
cbi-52	229	8	the	the	DET
cbi-52	229	9	slightest	slight	ADJ
cbi-52	229	10	background	background	NOUN
cbi-52	229	11	in	in	ADP
cbi-52	229	12	information	information	NOUN
cbi-52	229	13	theory	theory	NOUN
cbi-52	229	14	or	or	CCONJ
cbi-52	229	15	computer	computer	NOUN
cbi-52	229	16	programming	programming	NOUN
cbi-52	229	17	,	,	PUNCT
cbi-52	229	18	while	while	SCONJ
cbi-52	229	19	the	the	DET
cbi-52	229	20	other	other	ADJ
cbi-52	229	21	tests	test	NOUN
cbi-52	229	22	require	require	VERB
cbi-52	229	23	much	much	ADV
cbi-52	229	24	more	more	ADV
cbi-52	229	25	advanced	advanced	ADJ
cbi-52	229	26	knowledge	knowledge	NOUN
cbi-52	229	27	of	of	ADP
cbi-52	229	28	statistics	statistic	NOUN
cbi-52	229	29	.	.	PUNCT
cbi-52	230	1	additionally	additionally	ADV
cbi-52	230	2	,	,	PUNCT
cbi-52	230	3	knowing	know	VERB
cbi-52	230	4	why	why	SCONJ
cbi-52	230	5	generalized	generalized	ADJ
cbi-52	230	6	information	information	NOUN
cbi-52	230	7	works	work	NOUN
cbi-52	230	8	can	can	AUX
cbi-52	230	9	be	be	AUX
cbi-52	230	10	done	do	VERB
cbi-52	230	11	without	without	ADP
cbi-52	230	12	hardly	hardly	ADV
cbi-52	230	13	any	any	DET
cbi-52	230	14	mathematics	mathematic	NOUN
cbi-52	230	15	,	,	PUNCT
cbi-52	230	16	as	as	SCONJ
cbi-52	230	17	this	this	DET
cbi-52	230	18	present	present	ADJ
cbi-52	230	19	paper	paper	NOUN
cbi-52	230	20	demonstrates	demonstrate	VERB
cbi-52	230	21	.	.	PUNCT
cbi-52	231	1	interestingly	interestingly	ADV
cbi-52	231	2	,	,	PUNCT
cbi-52	231	3	since	since	SCONJ
cbi-52	231	4	generalized	generalized	ADJ
cbi-52	231	5	information	information	NOUN
cbi-52	231	6	is	be	AUX
cbi-52	231	7	modelagnostic	modelagnostic	ADJ
cbi-52	231	8	,	,	PUNCT
cbi-52	231	9	all	all	PRON
cbi-52	231	10	of	of	ADP
cbi-52	231	11	these	these	DET
cbi-52	231	12	criteria	criterion	NOUN
cbi-52	231	13	could	could	AUX
cbi-52	231	14	be	be	AUX
cbi-52	231	15	extended	extend	VERB
cbi-52	231	16	with	with	ADP
cbi-52	231	17	at	at	ADV
cbi-52	231	18	least	least	ADJ
cbi-52	231	19	part	part	NOUN
cbi-52	231	20	of	of	ADP
cbi-52	231	21	generalized	generalized	ADJ
cbi-52	231	22	information	information	NOUN
cbi-52	231	23	by	by	ADP
cbi-52	231	24	constraining	constrain	VERB
cbi-52	231	25	models	model	NOUN
cbi-52	231	26	to	to	ADP
cbi-52	231	27	a	a	DET
cbi-52	231	28	maximum	maximum	ADJ
cbi-52	231	29	model	model	NOUN
cbi-52	231	30	size	size	NOUN
cbi-52	231	31	based	base	VERB
cbi-52	231	32	on	on	ADP
cbi-52	231	33	the	the	DET
cbi-52	231	34	size	size	NOUN
cbi-52	231	35	of	of	ADP
cbi-52	231	36	the	the	DET
cbi-52	231	37	training	training	NOUN
cbi-52	231	38	data	datum	NOUN
cbi-52	231	39	available	available	ADJ
cbi-52	231	40	and	and	CCONJ
cbi-52	231	41	the	the	DET
cbi-52	231	42	accuracy	accuracy	NOUN
cbi-52	231	43	of	of	ADP
cbi-52	231	44	the	the	DET
cbi-52	231	45	model	model	NOUN
cbi-52	231	46	.	.	PUNCT
cbi-52	232	1	13	13	NUM
cbi-52	232	2	potential	potential	ADJ
cbi-52	232	3	problems	problem	NOUN
cbi-52	232	4	several	several	ADJ
cbi-52	232	5	potential	potential	ADJ
cbi-52	232	6	problems	problem	NOUN
cbi-52	232	7	exist	exist	VERB
cbi-52	232	8	with	with	ADP
cbi-52	232	9	this	this	DET
cbi-52	232	10	framework	framework	NOUN
cbi-52	232	11	.	.	PUNCT
cbi-52	233	1	the	the	DET
cbi-52	233	2	first	first	ADJ
cbi-52	233	3	and	and	CCONJ
cbi-52	233	4	most	most	ADV
cbi-52	233	5	obvious	obvious	ADJ
cbi-52	233	6	one	one	NOUN
cbi-52	233	7	is	be	AUX
cbi-52	233	8	whether	whether	SCONJ
cbi-52	233	9	or	or	CCONJ
cbi-52	233	10	not	not	PART
cbi-52	233	11	limiting	limit	VERB
cbi-52	233	12	the	the	DET
cbi-52	233	13	size	size	NOUN
cbi-52	233	14	of	of	ADP
cbi-52	233	15	the	the	DET
cbi-52	233	16	model	model	NOUN
cbi-52	233	17	to	to	ADP
cbi-52	233	18	the	the	DET
cbi-52	233	19	size	size	NOUN
cbi-52	233	20	of	of	ADP
cbi-52	233	21	the	the	DET
cbi-52	233	22	output	output	NOUN
cbi-52	233	23	dimension	dimension	NOUN
cbi-52	233	24	as	as	SCONJ
cbi-52	233	25	discussed	discuss	VERB
cbi-52	233	26	in	in	ADP
cbi-52	233	27	section	section	NOUN
cbi-52	233	28	6	6	NUM
cbi-52	233	29	is	be	AUX
cbi-52	233	30	the	the	DET
cbi-52	233	31	correct	correct	ADJ
cbi-52	233	32	procedure	procedure	NOUN
cbi-52	233	33	.	.	PUNCT
cbi-52	234	1	while	while	SCONJ
cbi-52	234	2	it	it	PRON
cbi-52	234	3	appears	appear	VERB
cbi-52	234	4	to	to	PART
cbi-52	234	5	be	be	AUX
cbi-52	234	6	correct	correct	ADJ
cbi-52	234	7	from	from	ADP
cbi-52	234	8	a	a	DET
cbi-52	234	9	variety	variety	NOUN
cbi-52	234	10	of	of	ADP
cbi-52	234	11	angles	angle	NOUN
cbi-52	234	12	(	(	PUNCT
cbi-52	234	13	i.e.	i.e.	X
cbi-52	234	14	,	,	PUNCT
cbi-52	234	15	reconstructing	reconstruct	VERB
cbi-52	234	16	all	all	DET
cbi-52	234	17	output	output	NOUN
cbi-52	234	18	dimensions	dimension	NOUN
cbi-52	234	19	allows	allow	VERB
cbi-52	234	20	use	use	NOUN
cbi-52	234	21	of	of	ADP
cbi-52	234	22	the	the	DET
cbi-52	234	23	entirety	entirety	NOUN
cbi-52	234	24	of	of	ADP
cbi-52	234	25	the	the	DET
cbi-52	234	26	training	training	NOUN
cbi-52	234	27	data	datum	NOUN
cbi-52	234	28	size	size	NOUN
cbi-52	234	29	)	)	PUNCT
cbi-52	234	30	,	,	PUNCT
cbi-52	234	31	it	it	PRON
cbi-52	234	32	does	do	AUX
cbi-52	234	33	seem	seem	VERB
cbi-52	234	34	that	that	SCONJ
cbi-52	234	35	the	the	DET
cbi-52	234	36	allowable	allowable	ADJ
cbi-52	234	37	model	model	NOUN
cbi-52	234	38	size	size	NOUN
cbi-52	234	39	should	should	AUX
cbi-52	234	40	include	include	VERB
cbi-52	234	41	some	some	DET
cbi-52	234	42	amount	amount	NOUN
cbi-52	234	43	of	of	ADP
cbi-52	234	44	size	size	NOUN
cbi-52	234	45	from	from	ADP
cbi-52	234	46	the	the	DET
cbi-52	234	47	input	input	NOUN
cbi-52	234	48	dimensions	dimension	NOUN
cbi-52	234	49	,	,	PUNCT
cbi-52	234	50	since	since	SCONJ
cbi-52	234	51	,	,	PUNCT
cbi-52	234	52	after	after	ADV
cbi-52	234	53	all	all	ADV
cbi-52	234	54	,	,	PUNCT
cbi-52	234	55	it	it	PRON
cbi-52	234	56	will	will	AUX
cbi-52	234	57	be	be	AUX
cbi-52	234	58	using	use	VERB
cbi-52	234	59	those	those	DET
cbi-52	234	60	dimensions	dimension	NOUN
cbi-52	234	61	in	in	ADP
cbi-52	234	62	calculating	calculate	VERB
cbi-52	234	63	the	the	DET
cbi-52	234	64	output	output	NOUN
cbi-52	234	65	dimension	dimension	NOUN
cbi-52	234	66	.	.	PUNCT
cbi-52	235	1	another	another	DET
cbi-52	235	2	one	one	NOUN
cbi-52	235	3	is	be	AUX
cbi-52	235	4	calculating	calculate	VERB
cbi-52	235	5	accuracy	accuracy	NOUN
cbi-52	235	6	.	.	PUNCT
cbi-52	236	1	that	that	PRON
cbi-52	236	2	is	be	AUX
cbi-52	236	3	,	,	PUNCT
cbi-52	236	4	with	with	ADP
cbi-52	236	5	a	a	DET
cbi-52	236	6	naive	naive	ADJ
cbi-52	236	7	approach	approach	NOUN
cbi-52	236	8	,	,	PUNCT
cbi-52	236	9	all	all	DET
cbi-52	236	10	failures	failure	NOUN
cbi-52	236	11	are	be	AUX
cbi-52	236	12	equivalently	equivalently	ADV
cbi-52	236	13	failing	fail	VERB
cbi-52	236	14	.	.	PUNCT
cbi-52	237	1	this	this	PRON
cbi-52	237	2	is	be	AUX
cbi-52	237	3	not	not	PART
cbi-52	237	4	an	an	DET
cbi-52	237	5	essential	essential	ADJ
cbi-52	237	6	problem	problem	NOUN
cbi-52	237	7	with	with	ADP
cbi-52	237	8	the	the	DET
cbi-52	237	9	model	model	NOUN
cbi-52	237	10	,	,	PUNCT
cbi-52	237	11	as	as	SCONJ
cbi-52	237	12	it	it	PRON
cbi-52	237	13	is	be	AUX
cbi-52	237	14	based	base	VERB
cbi-52	237	15	on	on	ADP
cbi-52	237	16	the	the	DET
cbi-52	237	17	output	output	NOUN
cbi-52	237	18	encoding	encoding	NOUN
cbi-52	237	19	.	.	PUNCT
cbi-52	238	1	a	a	DET
cbi-52	238	2	simple	simple	ADJ
cbi-52	238	3	naive	naive	ADJ
cbi-52	238	4	output	output	NOUN
cbi-52	238	5	encoding	encoding	NOUN
cbi-52	238	6	could	could	AUX
cbi-52	238	7	be	be	AUX
cbi-52	238	8	squished	squish	VERB
cbi-52	238	9	into	into	ADP
cbi-52	238	10	a	a	DET
cbi-52	238	11	binary	binary	ADJ
cbi-52	238	12	output	output	NOUN
cbi-52	238	13	,	,	PUNCT
cbi-52	238	14	but	but	CCONJ
cbi-52	238	15	this	this	PRON
cbi-52	238	16	prevents	prevent	VERB
cbi-52	238	17	one	one	NUM
cbi-52	238	18	from	from	ADP
cbi-52	238	19	knowing	know	VERB
cbi-52	238	20	“	"	PUNCT
cbi-52	238	21	how	how	SCONJ
cbi-52	238	22	far	far	ADV
cbi-52	238	23	”	"	PUNCT
cbi-52	238	24	off	off	ADP
cbi-52	238	25	the	the	DET
cbi-52	238	26	algorithm	algorithm	NOUN
cbi-52	238	27	is	be	AUX
cbi-52	238	28	.	.	PUNCT
cbi-52	239	1	an	an	DET
cbi-52	239	2	alternative	alternative	ADJ
cbi-52	239	3	output	output	NOUN
cbi-52	239	4	encoding	encoding	NOUN
cbi-52	239	5	could	could	AUX
cbi-52	239	6	put	put	VERB
cbi-52	239	7	more	more	ADJ
cbi-52	239	8	weight	weight	NOUN
cbi-52	239	9	on	on	ADP
cbi-52	239	10	more	more	ADV
cbi-52	239	11	significant	significant	ADJ
cbi-52	239	12	figures	figure	NOUN
cbi-52	239	13	,	,	PUNCT
cbi-52	239	14	and	and	CCONJ
cbi-52	239	15	less	less	ADJ
cbi-52	239	16	weight	weight	NOUN
cbi-52	239	17	on	on	ADP
cbi-52	239	18	less	less	ADV
cbi-52	239	19	significant	significant	ADJ
cbi-52	239	20	figures	figure	NOUN
cbi-52	239	21	,	,	PUNCT
cbi-52	239	22	such	such	ADJ
cbi-52	239	23	that	that	SCONJ
cbi-52	239	24	results	result	NOUN
cbi-52	239	25	that	that	PRON
cbi-52	239	26	are	be	AUX
cbi-52	239	27	“	"	PUNCT
cbi-52	239	28	near	near	ADJ
cbi-52	239	29	”	"	PUNCT
cbi-52	239	30	can	can	AUX
cbi-52	239	31	match	match	VERB
cbi-52	239	32	more	more	ADJ
cbi-52	239	33	bits	bit	NOUN
cbi-52	239	34	than	than	ADP
cbi-52	239	35	those	those	PRON
cbi-52	239	36	that	that	PRON
cbi-52	239	37	are	be	AUX
cbi-52	239	38	“	"	PUNCT
cbi-52	239	39	far	far	ADV
cbi-52	239	40	.	.	PUNCT
cbi-52	239	41	”	"	PUNCT
cbi-52	240	1	additionally	additionally	ADV
cbi-52	240	2	,	,	PUNCT
cbi-52	240	3	this	this	DET
cbi-52	240	4	model	model	NOUN
cbi-52	240	5	needs	need	VERB
cbi-52	240	6	to	to	PART
cbi-52	240	7	be	be	AUX
cbi-52	240	8	subject	subject	ADJ
cbi-52	240	9	to	to	ADP
cbi-52	240	10	empirical	empirical	ADJ
cbi-52	240	11	verification	verification	NOUN
cbi-52	240	12	.	.	PUNCT
cbi-52	241	1	currently	currently	ADV
cbi-52	241	2	,	,	PUNCT
cbi-52	241	3	it	it	PRON
cbi-52	241	4	exists	exist	VERB
cbi-52	241	5	only	only	ADV
cbi-52	241	6	as	as	ADP
cbi-52	241	7	an	an	DET
cbi-52	241	8	idea	idea	NOUN
cbi-52	241	9	,	,	PUNCT
cbi-52	241	10	and	and	CCONJ
cbi-52	241	11	needs	need	VERB
cbi-52	241	12	to	to	PART
cbi-52	241	13	be	be	AUX
cbi-52	241	14	applied	apply	VERB
cbi-52	241	15	to	to	ADP
cbi-52	241	16	specific	specific	ADJ
cbi-52	241	17	problems	problem	NOUN
cbi-52	241	18	to	to	PART
cbi-52	241	19	demonstrate	demonstrate	VERB
cbi-52	241	20	that	that	SCONJ
cbi-52	241	21	it	it	PRON
cbi-52	241	22	can	can	AUX
cbi-52	241	23	indeed	indeed	ADV
cbi-52	241	24	prevent	prevent	VERB
cbi-52	241	25	overfitting	overfitting	NOUN
cbi-52	241	26	and	and	CCONJ
cbi-52	241	27	demonstrate	demonstrate	NOUN
cbi-52	241	28	generalizations	generalization	NOUN
cbi-52	241	29	as	as	SCONJ
cbi-52	241	30	claimed	claim	VERB
cbi-52	241	31	.	.	PUNCT
cbi-52	242	1	14	14	NUM
cbi-52	242	2	future	future	ADJ
cbi-52	242	3	applications	application	NOUN
cbi-52	242	4	of	of	ADP
cbi-52	242	5	generalized	generalized	ADJ
cbi-52	242	6	information	information	NOUN
cbi-52	242	7	generalized	generalize	VERB
cbi-52	242	8	information	information	NOUN
cbi-52	242	9	can	can	AUX
cbi-52	242	10	be	be	AUX
cbi-52	242	11	used	use	VERB
cbi-52	242	12	anytime	anytime	ADP
cbi-52	242	13	someone	someone	PRON
cbi-52	242	14	wants	want	VERB
cbi-52	242	15	to	to	PART
cbi-52	242	16	judge	judge	VERB
cbi-52	242	17	between	between	ADP
cbi-52	242	18	actual	actual	ADJ
cbi-52	242	19	fits	fit	NOUN
cbi-52	242	20	between	between	ADP
cbi-52	242	21	model	model	NOUN
cbi-52	242	22	and	and	CCONJ
cbi-52	242	23	data	datum	NOUN
cbi-52	242	24	and	and	CCONJ
cbi-52	242	25	post	post	ADJ
cbi-52	242	26	-	-	ADJ
cbi-52	242	27	hoc	hoc	ADJ
cbi-52	242	28	curve	curve	NOUN
cbi-52	242	29	fitting	fitting	ADJ
cbi-52	242	30	.	.	PUNCT
cbi-52	243	1	the	the	DET
cbi-52	243	2	primary	primary	ADJ
cbi-52	243	3	target	target	NOUN
cbi-52	243	4	considered	consider	VERB
cbi-52	243	5	here	here	ADV
cbi-52	243	6	is	be	AUX
cbi-52	243	7	for	for	ADP
cbi-52	243	8	machine	machine	NOUN
cbi-52	243	9	learning	learning	NOUN
cbi-52	243	10	models	model	NOUN
cbi-52	243	11	,	,	PUNCT
cbi-52	243	12	however	however	ADV
cbi-52	243	13	,	,	PUNCT
cbi-52	243	14	it	it	PRON
cbi-52	243	15	can	can	AUX
cbi-52	243	16	be	be	AUX
cbi-52	243	17	applied	apply	VERB
cbi-52	243	18	to	to	ADP
cbi-52	243	19	a	a	DET
cbi-52	243	20	number	number	NOUN
cbi-52	243	21	of	of	ADP
cbi-52	243	22	similar	similar	ADJ
cbi-52	243	23	situations	situation	NOUN
cbi-52	243	24	.	.	PUNCT
cbi-52	244	1	for	for	ADP
cbi-52	244	2	instance	instance	NOUN
cbi-52	244	3	,	,	PUNCT
cbi-52	244	4	this	this	DET
cbi-52	244	5	technique	technique	NOUN
cbi-52	244	6	could	could	AUX
cbi-52	244	7	be	be	AUX
cbi-52	244	8	used	use	VERB
cbi-52	244	9	as	as	ADP
cbi-52	244	10	a	a	DET
cbi-52	244	11	replacement	replacement	NOUN
cbi-52	244	12	for	for	ADP
cbi-52	244	13	p	p	NOUN
cbi-52	244	14	-	-	PUNCT
cbi-52	244	15	values	value	NOUN
cbi-52	244	16	in	in	ADP
cbi-52	244	17	statistical	statistical	ADJ
cbi-52	244	18	inference	inference	NOUN
cbi-52	244	19	.	.	PUNCT
cbi-52	245	1	p	p	X
cbi-52	245	2	-	-	PUNCT
cbi-52	245	3	values	value	NOUN
cbi-52	245	4	do	do	AUX
cbi-52	245	5	not	not	PART
cbi-52	245	6	take	take	VERB
cbi-52	245	7	into	into	ADP
cbi-52	245	8	consideration	consideration	NOUN
cbi-52	245	9	the	the	DET
cbi-52	245	10	model	model	NOUN
cbi-52	245	11	size	size	NOUN
cbi-52	245	12	used	use	VERB
cbi-52	245	13	to	to	PART
cbi-52	245	14	establish	establish	VERB
cbi-52	245	15	the	the	DET
cbi-52	245	16	inference	inference	NOUN
cbi-52	245	17	.	.	PUNCT
cbi-52	246	1	thus	thus	ADV
cbi-52	246	2	,	,	PUNCT
cbi-52	246	3	generalized	generalized	ADJ
cbi-52	246	4	information	information	NOUN
cbi-52	246	5	can	can	AUX
cbi-52	246	6	prevent	prevent	VERB
cbi-52	246	7	the	the	DET
cbi-52	246	8	problem	problem	NOUN
cbi-52	246	9	of	of	ADP
cbi-52	246	10	p	p	NOUN
cbi-52	246	11	-	-	PUNCT
cbi-52	246	12	value	value	NOUN
cbi-52	246	13	hacking	hacking	NOUN
cbi-52	246	14	in	in	ADP
cbi-52	246	15	many	many	ADJ
cbi-52	246	16	statistical	statistical	ADJ
cbi-52	246	17	applications	application	NOUN
cbi-52	246	18	.	.	PUNCT
cbi-52	247	1	that	that	PRON
cbi-52	247	2	is	is	ADV
cbi-52	247	3	,	,	PUNCT
cbi-52	247	4	imagine	imagine	VERB
cbi-52	247	5	that	that	SCONJ
cbi-52	247	6	someone	someone	PRON
cbi-52	247	7	pulls	pull	VERB
cbi-52	247	8	in	in	ADP
cbi-52	247	9	a	a	DET
cbi-52	247	10	huge	huge	ADJ
cbi-52	247	11	number	number	NOUN
cbi-52	247	12	of	of	ADP
cbi-52	247	13	datasets	dataset	NOUN
cbi-52	247	14	in	in	ADP
cbi-52	247	15	order	order	NOUN
cbi-52	247	16	to	to	PART
cbi-52	247	17	hack	hack	VERB
cbi-52	247	18	a	a	DET
cbi-52	247	19	false	false	ADJ
cbi-52	247	20	statistical	statistical	ADJ
cbi-52	247	21	correlation	correlation	NOUN
cbi-52	247	22	.	.	PUNCT
cbi-52	248	1	with	with	ADP
cbi-52	248	2	generalized	generalized	ADJ
cbi-52	248	3	information	information	NOUN
cbi-52	248	4	,	,	PUNCT
cbi-52	248	5	there	there	PRON
cbi-52	248	6	would	would	AUX
cbi-52	248	7	need	need	VERB
cbi-52	248	8	to	to	PART
cbi-52	248	9	be	be	AUX
cbi-52	248	10	sufficient	sufficient	ADJ
cbi-52	248	11	information	information	NOUN
cbi-52	248	12	within	within	ADP
cbi-52	248	13	the	the	DET
cbi-52	248	14	model	model	NOUN
cbi-52	248	15	to	to	PART
cbi-52	248	16	choose	choose	VERB
cbi-52	248	17	which	which	DET
cbi-52	248	18	statistics	statistic	NOUN
cbi-52	248	19	are	be	AUX
cbi-52	248	20	to	to	PART
cbi-52	248	21	be	be	AUX
cbi-52	248	22	used	use	VERB
cbi-52	248	23	for	for	ADP
cbi-52	248	24	correlation	correlation	NOUN
cbi-52	248	25	,	,	PUNCT
cbi-52	248	26	thus	thus	ADV
cbi-52	248	27	depressing	depress	VERB
cbi-52	248	28	the	the	DET
cbi-52	248	29	p	p	NOUN
cbi-52	248	30	-	-	PUNCT
cbi-52	248	31	value	value	NOUN
cbi-52	248	32	of	of	ADP
cbi-52	248	33	the	the	DET
cbi-52	248	34	result	result	NOUN
cbi-52	248	35	.	.	PUNCT
cbi-52	249	1	statistically	statistically	ADV
cbi-52	249	2	,	,	PUNCT
cbi-52	249	3	p	p	X
cbi-52	249	4	<	<	X
cbi-52	249	5	0.05	0.05	NUM
cbi-52	249	6	should	should	AUX
cbi-52	249	7	be	be	AUX
cbi-52	249	8	roughly	roughly	ADV
cbi-52	249	9	equivalent	equivalent	ADJ
cbi-52	249	10	to	to	ADP
cbi-52	249	11	ig	ig	PRON
cbi-52	249	12	>	>	X
cbi-52	249	13	4.322	4.322	NUM
cbi-52	249	14	.	.	PUNCT
cbi-52	250	1	finally	finally	ADV
cbi-52	250	2	,	,	PUNCT
cbi-52	250	3	work	work	NOUN
cbi-52	250	4	needs	need	VERB
cbi-52	250	5	to	to	PART
cbi-52	250	6	be	be	AUX
cbi-52	250	7	done	do	VERB
cbi-52	250	8	on	on	ADP
cbi-52	250	9	establishing	establish	VERB
cbi-52	250	10	a	a	DET
cbi-52	250	11	baseline	baseline	ADJ
cbi-52	250	12	language	language	NOUN
cbi-52	250	13	for	for	ADP
cbi-52	250	14	this	this	DET
cbi-52	250	15	type	type	NOUN
cbi-52	250	16	of	of	ADP
cbi-52	250	17	modeling	modeling	NOUN
cbi-52	250	18	.	.	PUNCT
cbi-52	251	1	in	in	ADP
cbi-52	251	2	the	the	DET
cbi-52	251	3	limit	limit	NOUN
cbi-52	251	4	(	(	PUNCT
cbi-52	251	5	see	see	VERB
cbi-52	251	6	section	section	NOUN
cbi-52	251	7	9	9	NUM
cbi-52	251	8	)	)	PUNCT
cbi-52	251	9	it	it	PRON
cbi-52	251	10	does	do	AUX
cbi-52	251	11	n’t	not	PART
cbi-52	251	12	matter	matter	VERB
cbi-52	251	13	what	what	DET
cbi-52	251	14	language	language	NOUN
cbi-52	251	15	is	be	AUX
cbi-52	251	16	used	use	VERB
cbi-52	251	17	for	for	ADP
cbi-52	251	18	the	the	DET
cbi-52	251	19	model	model	NOUN
cbi-52	251	20	,	,	PUNCT
cbi-52	251	21	as	as	ADV
cbi-52	251	22	long	long	ADV
cbi-52	251	23	as	as	SCONJ
cbi-52	251	24	the	the	DET
cbi-52	251	25	language	language	NOUN
cbi-52	251	26	selection	selection	NOUN
cbi-52	251	27	is	be	AUX
cbi-52	251	28	independent	independent	ADJ
cbi-52	251	29	from	from	ADP
cbi-52	251	30	problem	problem	NOUN
cbi-52	251	31	selection	selection	NOUN
cbi-52	251	32	.	.	PUNCT
cbi-52	252	1	however	however	ADV
cbi-52	252	2	,	,	PUNCT
cbi-52	252	3	for	for	ADP
cbi-52	252	4	practical	practical	ADJ
cbi-52	252	5	purposes	purpose	NOUN
cbi-52	252	6	,	,	PUNCT
cbi-52	252	7	it	it	PRON
cbi-52	252	8	would	would	AUX
cbi-52	252	9	be	be	AUX
cbi-52	252	10	helpful	helpful	ADJ
cbi-52	252	11	to	to	PART
cbi-52	252	12	have	have	VERB
cbi-52	252	13	a	a	DET
cbi-52	252	14	unified	unified	ADJ
cbi-52	252	15	,	,	PUNCT
cbi-52	252	16	efficient	efficient	ADJ
cbi-52	252	17	language	language	NOUN
cbi-52	252	18	that	that	PRON
cbi-52	252	19	could	could	AUX
cbi-52	252	20	be	be	AUX
cbi-52	252	21	used	use	VERB
cbi-52	252	22	for	for	ADP
cbi-52	252	23	general	general	ADJ
cbi-52	252	24	comparisons	comparison	NOUN
cbi-52	252	25	.	.	PUNCT
cbi-52	253	1	acknowledgements	acknowledgement	NOUN
cbi-52	253	2	the	the	DET
cbi-52	253	3	author	author	NOUN
cbi-52	253	4	would	would	AUX
cbi-52	253	5	like	like	VERB
cbi-52	253	6	to	to	PART
cbi-52	253	7	acknowledge	acknowledge	VERB
cbi-52	253	8	robert	robert	PROPN
cbi-52	253	9	marks	marks	PROPN
cbi-52	253	10	,	,	PUNCT
cbi-52	253	11	winston	winston	PROPN
cbi-52	253	12	ewert	ewert	PROPN
cbi-52	253	13	,	,	PUNCT
cbi-52	253	14	george	george	PROPN
cbi-52	253	15	montañez	montañez	PROPN
cbi-52	253	16	,	,	PUNCT
cbi-52	253	17	andrew	andrew	PROPN
cbi-52	253	18	jones	jones	PROPN
cbi-52	253	19	,	,	PUNCT
cbi-52	253	20	george	george	PROPN
cbi-52	253	21	volume	volume	NOUN
cbi-52	253	22	1	1	NUM
cbi-52	253	23	,	,	PUNCT
cbi-52	253	24	issue	issue	NOUN
cbi-52	253	25	2	2	NUM
cbi-52	253	26	references	reference	NOUN
cbi-52	253	27	21	21	NUM
cbi-52	253	28	hunter	hunter	NOUN
cbi-52	253	29	,	,	PUNCT
cbi-52	253	30	william	william	PROPN
cbi-52	253	31	dembski	dembski	PROPN
cbi-52	253	32	,	,	PUNCT
cbi-52	253	33	and	and	CCONJ
cbi-52	253	34	mike	mike	PROPN
cbi-52	253	35	keas	keas	PROPN
cbi-52	253	36	for	for	ADP
cbi-52	253	37	feedback	feedback	NOUN
cbi-52	253	38	on	on	ADP
cbi-52	253	39	early	early	ADJ
cbi-52	253	40	versions	version	NOUN
cbi-52	253	41	of	of	ADP
cbi-52	253	42	this	this	DET
cbi-52	253	43	manuscript	manuscript	NOUN
cbi-52	253	44	.	.	PUNCT
cbi-52	254	1	references	reference	NOUN
cbi-52	254	2	borowski	borowski	PROPN
cbi-52	254	3	,	,	PUNCT
cbi-52	254	4	s	s	PART
cbi-52	254	5	(	(	PUNCT
cbi-52	254	6	2012	2012	NUM
cbi-52	254	7	)	)	PUNCT
cbi-52	254	8	.	.	PUNCT
cbi-52	255	1	“	"	PUNCT
cbi-52	255	2	the	the	DET
cbi-52	255	3	origin	origin	NOUN
cbi-52	255	4	and	and	CCONJ
cbi-52	255	5	popular	popular	ADJ
cbi-52	255	6	use	use	NOUN
cbi-52	255	7	of	of	ADP
cbi-52	255	8	occam	occam	PROPN
cbi-52	255	9	’s	’s	PART
cbi-52	255	10	razor	razor	NOUN
cbi-52	255	11	”	"	PUNCT
cbi-52	255	12	.	.	PUNCT
cbi-52	256	1	in	in	ADP
cbi-52	256	2	:	:	PUNCT
cbi-52	256	3	sciencia	sciencia	PROPN
cbi-52	256	4	.	.	PUNCT
cbi-52	256	5	url	url	PROPN
cbi-52	256	6	:	:	PUNCT
cbi-52	256	7	https://www.aaas.org/	https://www.aaas.org/	PROPN
cbi-52	256	8	origin	origin	PROPN
cbi-52	256	9	-	-	PUNCT
cbi-52	256	10	and	and	CCONJ
cbi-52	256	11	-	-	PUNCT
cbi-52	256	12	popular	popular	ADJ
cbi-52	256	13	-	-	PUNCT
cbi-52	256	14	use	use	NOUN
cbi-52	256	15	-	-	PUNCT
cbi-52	256	16	occams	occam	NOUN
cbi-52	256	17	-	-	PUNCT
cbi-52	256	18	razor	razor	NOUN
cbi-52	256	19	.	.	PUNCT
cbi-52	257	1	dembski	dembski	NOUN
cbi-52	257	2	,	,	PUNCT
cbi-52	257	3	w	w	PROPN
cbi-52	257	4	a	a	PRON
cbi-52	257	5	and	and	CCONJ
cbi-52	257	6	r	r	PROPN
cbi-52	257	7	j	j	PROPN
cbi-52	257	8	marks	marks	PROPN
cbi-52	257	9	ii	ii	PROPN
cbi-52	257	10	(	(	PUNCT
cbi-52	257	11	2009	2009	NUM
cbi-52	257	12	)	)	PUNCT
cbi-52	257	13	.	.	PUNCT
cbi-52	258	1	“	"	PUNCT
cbi-52	258	2	conservation	conservation	NOUN
cbi-52	258	3	of	of	ADP
cbi-52	258	4	information	information	NOUN
cbi-52	258	5	in	in	ADP
cbi-52	258	6	search	search	NOUN
cbi-52	258	7	:	:	PUNCT
cbi-52	258	8	measuring	measure	VERB
cbi-52	258	9	the	the	DET
cbi-52	258	10	cost	cost	NOUN
cbi-52	258	11	of	of	ADP
cbi-52	258	12	success	success	NOUN
cbi-52	258	13	”	"	PUNCT
cbi-52	258	14	.	.	PUNCT
cbi-52	259	1	in	in	ADP
cbi-52	259	2	:	:	PUNCT
cbi-52	259	3	ieee	ieee	NOUN
cbi-52	259	4	transactions	transaction	NOUN
cbi-52	259	5	on	on	ADP
cbi-52	259	6	systems	system	NOUN
cbi-52	259	7	,	,	PUNCT
cbi-52	259	8	man	man	NOUN
cbi-52	259	9	and	and	CCONJ
cbi-52	259	10	cybernetics	cybernetic	NOUN
cbi-52	259	11	a	a	PRON
cbi-52	259	12	,	,	PUNCT
cbi-52	259	13	systems	system	NOUN
cbi-52	259	14	and	and	CCONJ
cbi-52	259	15	humans	human	NOUN
cbi-52	259	16	5.5	5.5	NUM
cbi-52	259	17	,	,	PUNCT
cbi-52	259	18	pp	pp	ADJ
cbi-52	259	19	.	.	PUNCT
cbi-52	260	1	1051–1061	1051–1061	NUM
cbi-52	260	2	.	.	PUNCT
cbi-52	261	1	grünwald	grünwald	NOUN
cbi-52	261	2	,	,	PUNCT
cbi-52	261	3	p	p	X
cbi-52	261	4	(	(	PUNCT
cbi-52	261	5	2005	2005	NUM
cbi-52	261	6	)	)	PUNCT
cbi-52	261	7	.	.	PUNCT
cbi-52	262	1	“	"	PUNCT
cbi-52	262	2	introducing	introduce	VERB
cbi-52	262	3	the	the	DET
cbi-52	262	4	minimum	minimum	ADJ
cbi-52	262	5	description	description	NOUN
cbi-52	262	6	length	length	NOUN
cbi-52	262	7	principle	principle	NOUN
cbi-52	262	8	”	"	PUNCT
cbi-52	262	9	.	.	PUNCT
cbi-52	263	1	in	in	ADP
cbi-52	263	2	:	:	PUNCT
cbi-52	263	3	advances	advance	NOUN
cbi-52	263	4	in	in	ADP
cbi-52	263	5	minimum	minimum	ADJ
cbi-52	263	6	description	description	NOUN
cbi-52	263	7	length	length	NOUN
cbi-52	263	8	:	:	PUNCT
cbi-52	263	9	theory	theory	NOUN
cbi-52	263	10	and	and	CCONJ
cbi-52	263	11	applications	application	NOUN
cbi-52	263	12	.	.	PUNCT
cbi-52	264	1	ed	ed	NOUN
cbi-52	264	2	.	.	PUNCT
cbi-52	265	1	by	by	ADP
cbi-52	265	2	p	p	PROPN
cbi-52	265	3	grünwald	grünwald	NOUN
cbi-52	265	4	,	,	PUNCT
cbi-52	265	5	j	j	PROPN
cbi-52	265	6	myung	myung	PROPN
cbi-52	265	7	,	,	PUNCT
cbi-52	265	8	and	and	CCONJ
cbi-52	265	9	m	m	PROPN
cbi-52	265	10	a	a	DET
cbi-52	265	11	pitt	pitt	PROPN
cbi-52	265	12	.	.	PUNCT
cbi-52	265	13	mit	mit	PROPN
cbi-52	265	14	press	press	PROPN
cbi-52	265	15	,	,	PUNCT
cbi-52	265	16	pp	pp	ADJ
cbi-52	265	17	.	.	PUNCT
cbi-52	266	1	3	3	X
cbi-52	266	2	–	–	SYM
cbi-52	266	3	22	22	NUM
cbi-52	266	4	.	.	PUNCT
cbi-52	266	5	url	url	PROPN
cbi-52	266	6	:	:	PUNCT
cbi-52	266	7	https://arxiv.org/pdf/math/0406077	https://arxiv.org/pdf/math/0406077	PROPN
cbi-52	266	8	.	.	PUNCT
cbi-52	266	9	pdf	pdf	NOUN
cbi-52	266	10	.	.	PUNCT
cbi-52	267	1	keas	kea	NOUN
cbi-52	267	2	,	,	PUNCT
cbi-52	267	3	m	m	VERB
cbi-52	267	4	n	n	PRON
cbi-52	267	5	(	(	PUNCT
cbi-52	267	6	2018	2018	NUM
cbi-52	267	7	)	)	PUNCT
cbi-52	267	8	.	.	PUNCT
cbi-52	268	1	“	"	PUNCT
cbi-52	268	2	systematizing	systematize	VERB
cbi-52	268	3	the	the	DET
cbi-52	268	4	theoretical	theoretical	ADJ
cbi-52	268	5	virtues	virtue	NOUN
cbi-52	268	6	”	"	PUNCT
cbi-52	268	7	.	.	PUNCT
cbi-52	269	1	in	in	ADP
cbi-52	269	2	:	:	PUNCT
cbi-52	269	3	synthese	synthese	ADJ
cbi-52	269	4	195	195	NUM
cbi-52	269	5	(	(	PUNCT
cbi-52	269	6	6	6	NUM
cbi-52	269	7	)	)	PUNCT
cbi-52	269	8	.	.	PUNCT
cbi-52	270	1	url	url	PROPN
cbi-52	270	2	:	:	PUNCT
cbi-52	270	3	https://link.springer	https://link.springer	NOUN
cbi-52	270	4	.	.	PUNCT
cbi-52	270	5	com	com	NOUN
cbi-52	270	6	/	/	SYM
cbi-52	270	7	article/10.1007	article/10.1007	ADJ
cbi-52	270	8	/	/	SYM
cbi-52	270	9	s11229	s11229	NOUN
cbi-52	270	10	-	-	PUNCT
cbi-52	270	11	017	017	NUM
cbi-52	270	12	-	-	PUNCT
cbi-52	270	13	1355	1355	NUM
cbi-52	270	14	-	-	SYM
cbi-52	270	15	6	6	NUM
cbi-52	270	16	.	.	PUNCT
cbi-52	270	17	montañez	montañez	NOUN
cbi-52	270	18	,	,	PUNCT
cbi-52	270	19	g	g	PROPN
cbi-52	270	20	d	d	PROPN
cbi-52	270	21	(	(	PUNCT
cbi-52	270	22	2017	2017	NUM
cbi-52	270	23	)	)	PUNCT
cbi-52	270	24	.	.	PUNCT
cbi-52	271	1	“	"	PUNCT
cbi-52	271	2	why	why	SCONJ
cbi-52	271	3	machine	machine	NOUN
cbi-52	271	4	learning	learning	NOUN
cbi-52	271	5	works	work	VERB
cbi-52	271	6	”	"	PUNCT
cbi-52	271	7	.	.	PUNCT
cbi-52	272	1	phd	phd	NOUN
cbi-52	272	2	thesis	thesis	PROPN
cbi-52	272	3	.	.	PUNCT
cbi-52	273	1	carnegie	carnegie	PROPN
cbi-52	273	2	mellon	mellon	PROPN
cbi-52	273	3	university	university	PROPN
cbi-52	273	4	.	.	PUNCT
cbi-52	274	1	sayyareh	sayyareh	NOUN
cbi-52	274	2	,	,	PUNCT
cbi-52	274	3	a	a	PRON
cbi-52	274	4	,	,	PUNCT
cbi-52	274	5	r	r	NOUN
cbi-52	274	6	obeidi	obeidi	NOUN
cbi-52	274	7	,	,	PUNCT
cbi-52	274	8	and	and	CCONJ
cbi-52	274	9	a	a	DET
cbi-52	274	10	bar	bar	NOUN
cbi-52	274	11	-	-	PUNCT
cbi-52	274	12	hen	hen	NOUN
cbi-52	274	13	(	(	PUNCT
cbi-52	274	14	2011	2011	NUM
cbi-52	274	15	)	)	PUNCT
cbi-52	274	16	.	.	PUNCT
cbi-52	275	1	“	"	PUNCT
cbi-52	275	2	empirical	empirical	ADJ
cbi-52	275	3	comparison	comparison	NOUN
cbi-52	275	4	between	between	ADP
cbi-52	275	5	some	some	DET
cbi-52	275	6	model	model	NOUN
cbi-52	275	7	selection	selection	NOUN
cbi-52	275	8	criteria	criterion	NOUN
cbi-52	275	9	”	"	PUNCT
cbi-52	275	10	.	.	PUNCT
cbi-52	276	1	in	in	ADP
cbi-52	276	2	:	:	PUNCT
cbi-52	276	3	communications	communication	NOUN
cbi-52	276	4	in	in	ADP
cbi-52	276	5	statistics	statistic	NOUN
cbi-52	276	6	—	—	PUNCT
cbi-52	276	7	simulation	simulation	NOUN
cbi-52	276	8	and	and	CCONJ
cbi-52	276	9	computation	computation	NOUN
cbi-52	276	10	40	40	NUM
cbi-52	276	11	,	,	PUNCT
cbi-52	276	12	pp	pp	ADJ
cbi-52	276	13	.	.	PUNCT
cbi-52	277	1	72–86	72–86	NUM
cbi-52	277	2	.	.	PUNCT
cbi-52	277	3	solomonoff	solomonoff	NOUN
cbi-52	277	4	,	,	PUNCT
cbi-52	277	5	r	r	NOUN
cbi-52	277	6	(	(	PUNCT
cbi-52	277	7	1964a	1964a	NOUN
cbi-52	277	8	)	)	PUNCT
cbi-52	277	9	.	.	PUNCT
cbi-52	278	1	“	"	PUNCT
cbi-52	278	2	a	a	DET
cbi-52	278	3	formal	formal	ADJ
cbi-52	278	4	theory	theory	NOUN
cbi-52	278	5	of	of	ADP
cbi-52	278	6	inductive	inductive	ADJ
cbi-52	278	7	inference	inference	NOUN
cbi-52	278	8	,	,	PUNCT
cbi-52	278	9	part	part	NOUN
cbi-52	278	10	1	1	NUM
cbi-52	278	11	”	"	PUNCT
cbi-52	278	12	.	.	PUNCT
cbi-52	279	1	in	in	ADP
cbi-52	279	2	:	:	PUNCT
cbi-52	279	3	information	information	NOUN
cbi-52	279	4	and	and	CCONJ
cbi-52	279	5	control	control	NOUN
cbi-52	279	6	7.1	7.1	NUM
cbi-52	279	7	,	,	PUNCT
cbi-52	279	8	pp	pp	ADJ
cbi-52	279	9	.	.	PUNCT
cbi-52	279	10	1	1	NUM
cbi-52	279	11	–	–	SYM
cbi-52	279	12	22	22	NUM
cbi-52	279	13	.	.	PUNCT
cbi-52	279	14	url	url	PROPN
cbi-52	279	15	:	:	PUNCT
cbi-52	279	16	http://raysolomonoff.com/publications/	http://raysolomonoff.com/publications/	X
cbi-52	279	17	1964pt1.pdf	1964pt1.pdf	ADJ
cbi-52	279	18	.	.	PUNCT
cbi-52	280	1	solomonoff	solomonoff	NOUN
cbi-52	280	2	,	,	PUNCT
cbi-52	280	3	r	r	NOUN
cbi-52	280	4	(	(	PUNCT
cbi-52	280	5	1964b	1964b	NUM
cbi-52	280	6	)	)	PUNCT
cbi-52	280	7	.	.	PUNCT
cbi-52	281	1	“	"	PUNCT
cbi-52	281	2	a	a	DET
cbi-52	281	3	formal	formal	ADJ
cbi-52	281	4	theory	theory	NOUN
cbi-52	281	5	of	of	ADP
cbi-52	281	6	inductive	inductive	ADJ
cbi-52	281	7	inference	inference	NOUN
cbi-52	281	8	,	,	PUNCT
cbi-52	281	9	part	part	NOUN
cbi-52	281	10	2	2	NUM
cbi-52	281	11	”	"	PUNCT
cbi-52	281	12	.	.	PUNCT
cbi-52	282	1	in	in	ADP
cbi-52	282	2	:	:	PUNCT
cbi-52	282	3	information	information	NOUN
cbi-52	282	4	and	and	CCONJ
cbi-52	282	5	control	control	NOUN
cbi-52	282	6	7.2	7.2	NUM
cbi-52	282	7	,	,	PUNCT
cbi-52	282	8	pp	pp	ADJ
cbi-52	282	9	.	.	PUNCT
cbi-52	283	1	224–254	224–254	NUM
cbi-52	283	2	.	.	PUNCT
cbi-52	284	1	url	url	PROPN
cbi-52	284	2	:	:	PUNCT
cbi-52	284	3	http	http	NOUN
cbi-52	284	4	:	:	PUNCT
cbi-52	284	5	/	/	SYM
cbi-52	284	6	/	/	SYM
cbi-52	284	7	raysolomonoff	raysolomonoff	NOUN
cbi-52	284	8	.	.	PUNCT
cbi-52	284	9	com	com	NOUN
cbi-52	284	10	/	/	SYM
cbi-52	284	11	publications/1964pt2.pdf	publications/1964pt2.pdf	PROPN
cbi-52	284	12	.	.	PUNCT
cbi-52	285	1	valiant	valiant	PROPN
cbi-52	285	2	,	,	PUNCT
cbi-52	285	3	l	l	NOUN
cbi-52	285	4	g	g	NOUN
cbi-52	285	5	(	(	PUNCT
cbi-52	285	6	1984	1984	NUM
cbi-52	285	7	)	)	PUNCT
cbi-52	285	8	.	.	PUNCT
cbi-52	286	1	“	"	PUNCT
cbi-52	286	2	a	a	DET
cbi-52	286	3	theory	theory	NOUN
cbi-52	286	4	of	of	ADP
cbi-52	286	5	the	the	DET
cbi-52	286	6	learnable	learnable	ADJ
cbi-52	286	7	”	"	PUNCT
cbi-52	286	8	.	.	PUNCT
cbi-52	287	1	in	in	ADP
cbi-52	287	2	:	:	PUNCT
cbi-52	287	3	communications	communication	NOUN
cbi-52	287	4	of	of	ADP
cbi-52	287	5	the	the	DET
cbi-52	287	6	acm	acm	NOUN
cbi-52	287	7	27.11	27.11	NUM
cbi-52	287	8	,	,	PUNCT
cbi-52	287	9	pp	pp	ADJ
cbi-52	287	10	.	.	PUNCT
cbi-52	287	11	1134–1142	1134–1142	NUM
cbi-52	287	12	.	.	PUNCT
cbi-52	287	13	url	url	PROPN
cbi-52	287	14	:	:	PUNCT
cbi-52	287	15	http://web.mit.edu/6.435/www/valiant84.pdf	http://web.mit.edu/6.435/www/valiant84.pdf	X
cbi-52	287	16	.	.	PUNCT