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

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

doi:10.1002/asmb.537

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

DOI Web Site Web Site 被引用文献5件

書誌事項

公開日: 2005-03

権利情報

http://onlinelibrary.wiley.com/termsAndConditions#vor

DOI

10.1002/asmb.537

公開者: Wiley

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説明

<jats:title>Abstract</jats:title><jats:p>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 <jats:italic>ν</jats:italic>‐SVM, including details of the algorithm and its implementation, theoretical results, and practical applications. Copyright © 2005 John Wiley & Sons, Ltd.</jats:p>