A tutorial on &nu;-Support Vector Machines

A tutorial on ν-Support Vector Machines (2005)

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by Pai-hsuen Chen , Chih-jen Lin , Bernhard Schölkopf

Venue:	APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
Citations:	11 - 0 self

BibTeX

@MISC{Chen05atutorial,
    author = {Pai-hsuen Chen and Chih-jen Lin and Bernhard Schölkopf},
    title = {A tutorial on ν-Support Vector Machines},
    year = {2005}
}

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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 n-SVM, including details of the algorithm and its implementation, theoretical results, and practical applications.

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