Convergence of a Generalized SMO Algorithm for SVM Classifier Design

Keerthi, S. S.
Gilbert, Elmer Grant

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Publication date

January 2002

DOI

10.1023/A:1012431217818

Publisher

Springer Science and Business Media LLC

Journal

Machine Learning

Abstract

Convergence of a generalized version of the modified SMO algorithms given by Keerthi et al. for SVM classifier design is proved. The convergence results are also extended to modified SMO algorithms for solving ν-SVM classifier problems.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/46957/1/10994_2004_Article_380512.pd

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Convergence of a Generalized SMO Algorithm for SVM Classifier Design

Abstract

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Convergence of a Generalized SMO Algorithm for SVM Classifier Design

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