A tutorial on ν-support vector machines: Research Articles

Authors:
Pai-Hsuen Chen;Chih-Jen Lin;Bernhard Schölkopf
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan;Department of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan;Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Venue:
Applied Stochastic Models in Business and Industry - Statistical Learning
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 ν-SVM, including details of the algorithm and its implementation, theoretical results, and practical applications. Copyright © 2005 John Wiley & Sons, Ltd.Parts of the present article are based on [1].