A learning method for robust support vector machines

Jun Guo; Norikazu Takahashi; Tetsuo Nishi

A learning method for robust support vector machines

Jun Guo, Norikazu Takahashi, Tetsuo Nishi

Research output: Contribution to journal › Article › peer-review

Abstract

We propose an innovative learning algorithm for a support vector machine to be robust. As learning patterns it uses not only the prescribed learning patterns but also their neighbour patterns. The size of the proposed optimization problem to be solved is the same as the original one. Many simulations show the effectiveness of the proposed algorithm.

Original language	English
Pages (from-to)	474-479
Number of pages	6
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3173
Publication status	Published - Dec 1 2004
Externally published	Yes

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Cite this

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A learning method for robust support vector machines

Abstract

ASJC Scopus subject areas

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