| Document Date: 2009-11-03 23:17:20
Open Document File Size: 144,74 KBShare Result on Facebook
City Laurel / Cambridge / / Company Neural Information Processing Systems / Neural Networks / MIT Press / Johns Hopkins University Press / Computer Sciences / / / Facility Diehl Applied Physics Laboratory Johns Hopkins University / University of California / / IndustryTerm important statistical tool / sparse solutions / descent algorithm / large margin learning algorithms / active selection algorithms / computing / import vector machine algorithm / large margin algorithms / learning algorithm / learning algorithms / / Organization The Johns Hopkins University / MIT / Johns Hopkins University / University of California / Irvine / / Person Addison Wesley / Morgan Kaufman / Approach By deļ¬nition / Morgan Kaufmann / / / Position ERROR ESTIMATION General / / ProgrammingLanguage C / / ProvinceOrState Maryland / California / / PublishedMedium Machine Learning / / Technology learning algorithm / soft margin SVM algorithm / Newton descent algorithm / active selection algorithms / SVM algorithm / large margin learning algorithms / RSVM algorithms / Data Mining / machine learning / RSVM algorithm / import vector machine algorithm / large margin algorithms / accomplished using a standard Newton descent algorithm / / URL http /
SocialTag |
APPROXIMATE LEAVE-ONE-OUT ERROR ESTIMATION FOR LEARNING WITH SMOOTH, STRICTLY CONVEX MARGIN LOSS FUNCTIONS Christopher P. Diehl Applied Physics Laboratory