Show simple item record

dc.contributor.advisorTomaso Poggio
dc.contributor.authorMroueh, Youssefen_US
dc.contributor.authorPoggio, Tomasoen_US
dc.contributor.authorRosasco, Lorenzoen_US
dc.contributor.otherCenter for Biological and Computational Learning (CBCL)en_US
dc.date.accessioned2011-06-03T15:15:06Z
dc.date.available2011-06-03T15:15:06Z
dc.date.issued2011-06-03
dc.identifier.urihttp://hdl.handle.net/1721.1/63175
dc.description.abstractIn this work we discuss a regularization framework to solve multi-category when the classes are described by an underlying class taxonomy. In particular we discuss how to learn the class taxonomy while learning a multi-category classifier.en_US
dc.description.sponsorshipThis research was sponsored by grants from DARPA (IPTO and DSO), National Science Foundation (NSF-0640097, NSF-0827427), AFSOR-THRL (FA8650-05-C-7262) Additional support was provided by: Adobe, Honda Research Institute USA, King Abdullah University Science and Technology grant to B. DeVore, NEC, Sony and especially by the Eugene McDermott Foundationen_US
dc.format.extent5 p.en_US
dc.relation.ispartofseriesMIT-CSAIL-TR-2011-029
dc.relation.ispartofseriesCBCL-299
dc.subjectcomputational learningen_US
dc.subjectclassificationen_US
dc.titleRegularization Predicts While Discovering Taxonomyen_US
dc.language.rfc3066en-US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record