Applied Stochastic Models in Business and Industry · 2005 · 475 citations · 35 references
ComputingComputer ScienceData ScienceData MiningMachine LearningStatistical LearningClassificationKernel MethodsPattern RecognitionSupervised LearningSupport Vector MachinesLearning KernelsMulticlass Support Vector MachinesSupport Vector Machine ClassificationSvms
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.
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