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.