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Machine Learning

, Volume 46, Issue 1–3, pp 291–314 | Cite as

A Simple Decomposition Method for Support Vector Machines

  • Chih-Wei Hsu
  • Chih-Jen Lin
Article

Abstract

The decomposition method is currently one of the major methods for solving support vector machines. An important issue of this method is the selection of working sets. In this paper through the design of decomposition methods for bound-constrained SVM formulations we demonstrate that the working set selection is not a trivial task. Then from the experimental analysis we propose a simple selection of the working set which leads to faster convergences for difficult cases. Numerical experiments on different types of problems are conducted to demonstrate the viability of the proposed method.

support vector machines decomposition methods classification 

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Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • Chih-Wei Hsu
    • 1
  • Chih-Jen Lin
    • 1
  1. 1.Department of Computer Science and Information EngineeringNational Taiwan UniversityTaipeiTaiwan, Republic of China

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