A tutorial on v-support vector machines
Journal
Applied Stochastic Models in Business and Industry
Journal Volume
21
Journal Issue
2
Pages
111-136
Date Issued
2005
Author(s)
Abstract
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.
Type
journal article