4.7 Article

Convergence of a generalized SMO algorithm for SVM classifier design

Journal

MACHINE LEARNING
Volume 46, Issue 1-3, Pages 351-360

Publisher

KLUWER ACADEMIC PUBL
DOI: 10.1023/A:1012431217818

Keywords

support vector machine; SMO algorithm; convergence

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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 nu -SVM classifier problems.

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