A polynomial smooth support vector machine for classification

Authors:
YuBo Yuan;TingZhu Huang
Affiliations:
School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu, Sichuan, P. R. China;School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu, Sichuan, P. R. China
Venue:
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Year:
2005

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Abstract

A new polynomial smooth method for solving the support vector machine (SVM) is presented in this paper. It is called the polynomial smooth support vector machine (PSSVM). BFGS method and Newton-Armijo method are applied to solve the PSSVM. Numerical experiments confirm that PSSVM is more effective than SVM.