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 |