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A tutorial on ν‐support vector machines

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  • Pai‐Hsuen Chen
  • Chih‐Jen Lin
  • Bernhard Schölkopf

Abstract

We briefly describe the main ideas of statistical learning theory, support vector machines (SVMs), and kernel feature spaces. We place particular emphasis on a description of the so‐called ν‐SVM, including details of the algorithm and its implementation, theoretical results, and practical applications. Copyright © 2005 John Wiley & Sons, Ltd.

Suggested Citation

  • Pai‐Hsuen Chen & Chih‐Jen Lin & Bernhard Schölkopf, 2005. "A tutorial on ν‐support vector machines," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 21(2), pages 111-136, March.
    • Handle: RePEc:wly:apsmbi:v:21:y:2005:i:2:p:111-136
    DOI: 10.1002/asmb.537
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