Please use this identifier to cite or link to this item:
http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/3155
Title: | On metric entropy, Vapnik-Chervonenkis dimension, and learnability for a class of distributions |
Authors: | Kulkarni, Sanjeev R. (Sanjeev Ramesh) Massachusetts Institute of Technology. Laboratory for Information and Decision Systems. |
Keywords: | TK7855.M41 E3845 no.1910 |
Issue Date: | 5-Jun-2013 |
Publisher: | Massachusetts Institute of Technology, Laboratory for Information and Decision Systems] |
Description: | Sanjeev R. Kulkarni. Cover title. Includes bibliographical references (p. 13-14). Research supported by the U.S. Army Research Office. DAAL03-86-K-0171 Research supported by the Department of the Navy for SDIO. |
URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
Other Identifiers: | http://hdl.handle.net/1721.1/3155 |
Appears in Collections: | MIT Items |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.