Direct L2 Support Vector Machine classifier and performances of its two implementations

Abstract

We introduce a Direct L2 Support Vector Machine (DL2 SVM) classifier and present the performances of its different implementation algorithms on 12 real binary and multi-class datasets. DL2 SVM algorithm is based on solving the Nonnegative Least Squares (NNLS) problem which finds a desired solution in much less CPU time than it is required by other SVM… (More)

Topics

5 Figures and Tables

Slides referencing similar topics