JPL Technical Report Server

Support vector machines and kernel fisher discriminants: a case study using electronic nose data

Show simple item record

dc.contributor.author DeCoste, D. en_US
dc.contributor.author Burl, M.C. en_US
dc.date.accessioned 2004-09-22T23:58:10Z
dc.date.available 2004-09-22T23:58:10Z
dc.date.issued 2001-08-26 en_US
dc.identifier.citation Workshop on Mining Scientific Datasets-KDD 2001 en_US
dc.identifier.citation San Francisco, CA, USA en_US
dc.identifier.clearanceno 01-1676 en_US
dc.identifier.uri http://hdl.handle.net/2014/13103
dc.description.abstract Tradeoffs between the different kernel methods and performance relative to more traditional methods are discussed. en_US
dc.format.extent 547818 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other support vector machines classification en_US
dc.title Support vector machines and kernel fisher discriminants: a case study using electronic nose data en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search


Browse

My Account