A tutorial on ν‐support vector machines

Pai‐Hsuen Chen, Chih‐Jen Lin and Bernhard Schölkopf

Applied Stochastic Models in Business and Industry, 2005, vol. 21, issue 2, 111-136

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.

Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmbi:v:21:y:2005:i:2:p:111-136

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