Support Vector Machines

Ke-Lin Du () and M. N. S. Swamy
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Ke-Lin Du: Concordia University, Department of Electrical and Computer Engineering
M. N. S. Swamy: Concordia University, Department of Electrical and Computer Engineering

Chapter Chapter 21 in Neural Networks and Statistical Learning, 2019, pp 593-644 from Springer

Abstract: 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.

Date: 2019
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DOI: 10.1007/978-1-4471-7452-3_21

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