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Neural Networks and Statistical Learning pp 593–644Cite as

Support Vector Machines

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Abstract

SVM is one of the most popular nonparametric classification algorithms. It is optimal and is based on computational learning theory. This chapter is dedicated to SVM. We first introduce the SVM model. Training methods for classification, clustering, and regression using SVM are introduced in detail. Associated topics such as model architecture optimization are also described.

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    Ke-Lin Du & M. N. S. Swamy

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    Ke-Lin Du

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Du, KL., Swamy, M.N.S. (2019). Support Vector Machines. In: Neural Networks and Statistical Learning. Springer, London. https://doi.org/10.1007/978-1-4471-7452-3_21

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