A tutorial on <i>ν</i>‐support vector machines

Bernhard Schölkopf, Pai‐Hsuen Chen, Chih‐Jen Lin
2005-03-01

SCID:  54.1/z683reds
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 &amp; Sons, Ltd.
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2005-03-01
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Bernhard Schölkopf
Pai‐Hsuen Chen
Chih‐Jen Lin
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