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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)
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


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