On metric entropy, Vapnik-Chervonenkis dimension, and learnability for a class of distributions

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DC Field	Value	Language
dc.contributor	Kulkarni, Sanjeev R. (Sanjeev Ramesh)	-
dc.contributor	Massachusetts Institute of Technology. Laboratory for Information and Decision Systems.	-
dc.date	2003-04-29T15:33:38Z	-
dc.date	2003-04-29T15:33:38Z	-
dc.date	1989	-
dc.date.accessioned	2013-06-04T16:16:12Z	-
dc.date.available	2013-06-04T16:16:12Z	-
dc.date.issued	2013-06-05	-
dc.identifier	http://hdl.handle.net/1721.1/3155	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	Sanjeev R. Kulkarni.	-
dc.description	Cover title.	-
dc.description	Includes bibliographical references (p. 13-14).	-
dc.description	Research supported by the U.S. Army Research Office. DAAL03-86-K-0171 Research supported by the Department of the Navy for SDIO.	-
dc.format	14 p.	-
dc.format	1219956 bytes	-
dc.format	application/pdf	-
dc.language	eng	-
dc.publisher	Massachusetts Institute of Technology, Laboratory for Information and Decision Systems]	-
dc.relation	LIDS-P ; 1910	-
dc.subject	TK7855.M41 E3845 no.1910	-
dc.title	On metric entropy, Vapnik-Chervonenkis dimension, and learnability for a class of distributions	-
Appears in Collections:	MIT Items

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