Deng N., Tian Y., Zhang C. Support Vector Machines. Optimization Based Theory, Algorithms, and Extensions

Boca Raton: CRC Press, 2013. - 345 p.
This book introduces SVMs systematically and comprehensively. We place emphasis on the readability and the importance of perception on a sound understanding of SVMs. Prior to systematical and rigorous discourses, concepts are introduced graphically, and the methods and conclusions are proposed by direct inspection or with visual explanation. Particularly, for some important concepts and algorithms we try our best to give clearly geometric interpretations that are not depicted in the literature, such as Crammer-Singer SVM for multiclass classification problems.