Project details for SVM and Kernel Methods Toolbox

Logo SVM and Kernel Methods Toolbox 0.5

by arakotom - June 10, 2008, 21:29:39 CET [ Project Homepage BibTeX Download ]

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Description:

SVM Toolbox fully written in Matlab (even the QP solver). Features : SVM, MultiClassSVM, One-Class, SV Regression, AUC-SVM and Rankboost, 1-norm SVM, Regularization Networks, Kernel Basis Pursuit and LARS, Variable Selection for SVM, Wavelet Kernel Regression, KPCA

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Linux, Macosx, Windows
Data Formats: None
Tags: Matlab, Support Vector Machines, Kernel Methods, Multi Class
Archive: download here

Comments

ALI EL AKADI (on August 11, 2008, 11:41:12)

Thanks

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