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Linear Classification of data with Support Vector Machines and Generalized Support Vector Machines

Published 31 May 2016 in cs.LG | (1606.05664v1)

Abstract: In this paper, we study the support vector machine and introduced the notion of generalized support vector machine for classification of data. We show that the problem of generalized support vector machine is equivalent to the problem of generalized variational inequality and establish various results for the existence of solutions. Moreover, we provide various examples to support our results.

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