An overview on twin support vector machines
Abstract
Twin support vector machines (TWSVM) is based on the idea of proximal SVM based on generalized eigenvalues (GEPSVM), which determines two nonparallel planes by solving two related SVM-type problems, so that its computing cost in the training phase is 1/4 of standard SVM. In addition to keeping the superior characteristics of GEPSVM, the classification performance of TWSVM significantly outperforms that of GEPSVM. However, the stand-alone method...
Paper Details
Title
An overview on twin support vector machines
Published Date
Aug 1, 2014
Volume
42
Issue
2
Pages
245 - 252
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