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

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dc.contributor Kulkarni, Sanjeev R. (Sanjeev Ramesh) en_US
dc.contributor Massachusetts Institute of Technology. Laboratory for Information and Decision Systems. en_US
dc.date.accessioned 2003-04-29T15:33:38Z
dc.date.available 2003-04-29T15:33:38Z
dc.date.issued 1989 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/3155
dc.description Cover title. en_US
dc.description Includes bibliographical references (p. 13-14). en_US
dc.description.sponsorship Research supported by the U.S. Army Research Office. DAAL03-86-K-0171 Research supported by the Department of the Navy for SDIO. en_US
dc.description.statementofresponsibility Sanjeev R. Kulkarni. en_US
dc.format.extent 14 p. en_US
dc.format.extent 1219956 bytes
dc.format.mimetype application/pdf
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology, Laboratory for Information and Decision Systems] en_US
dc.relation.ispartofseries LIDS-P ; 1910 en_US
dc.subject.lcc TK7855.M41 E3845 no.1910 en_US
dc.title On metric entropy, Vapnik-Chervonenkis dimension, and learnability for a class of distributions en_US


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