ABSTRACT

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)-classification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs since optimization is one of the pillars on which

chapter 1|40 pages

Optimization

chapter 2|22 pages

Linear Classification

chapter 3|18 pages

Linear Regression

chapter 4|46 pages

Kernels and Support Vector Machines

chapter 6|36 pages

Model Construction

chapter 7|16 pages

Implementation