Convergence of a Generalized SMO Algorithm for SVM Classifier Design

Keerthi, S. Sathiya; Gilbert, Elmer G.

doi:10.1023/A:1012431217818

Convergence of a Generalized SMO Algorithm for SVM Classifier Design

S. Sathiya Keerthi, Elmer G. Gilbert

MLJ 2002 pp. 351-360

doi:10.1023/A:1012431217818 /mlj/2002/keerthi2002mlj-convergence/

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.

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Text

Keerthi and Gilbert. "Convergence of a Generalized SMO Algorithm for SVM Classifier Design." Machine Learning, 2002. doi:10.1023/A:1012431217818

Markdown

[Keerthi and Gilbert. "Convergence of a Generalized SMO Algorithm for SVM Classifier Design." Machine Learning, 2002.](https://mlanthology.org/mlj/2002/keerthi2002mlj-convergence/) doi:10.1023/A:1012431217818

BibTeX

@article{keerthi2002mlj-convergence,
  title     = {{Convergence of a Generalized SMO Algorithm for SVM Classifier Design}},
  author    = {Keerthi, S. Sathiya and Gilbert, Elmer G.},
  journal   = {Machine Learning},
  year      = {2002},
  pages     = {351-360},
  doi       = {10.1023/A:1012431217818},
  volume    = {46},
  url       = {https://mlanthology.org/mlj/2002/keerthi2002mlj-convergence/}
}