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.
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