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dc.contributorKulkarni, Sanjeev R. (Sanjeev Ramesh)en_US
dc.contributorMassachusetts Institute of Technology. Laboratory for Information and Decision Systems.en_US
dc.date.accessioned2003-04-29T15:33:38Z
dc.date.available2003-04-29T15:33:38Z
dc.date.issued1989en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/3155
dc.descriptionCover title.en_US
dc.descriptionIncludes bibliographical references (p. 13-14).en_US
dc.description.sponsorshipResearch 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.statementofresponsibilitySanjeev R. Kulkarni.en_US
dc.format.extent14 p.en_US
dc.format.extent1219956 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technology, Laboratory for Information and Decision Systems]en_US
dc.relation.ispartofseriesLIDS-P ; 1910en_US
dc.subject.lccTK7855.M41 E3845 no.1910en_US
dc.titleOn metric entropy, Vapnik-Chervonenkis dimension, and learnability for a class of distributionsen_US


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