Learning Kernel Classifiers: Theory and Algorithms (Herbrich, R.; 2002) [Book reviews]

Focusing on classification learning, this book covers learning algorithms and learning theory. The book concludes with appendices covering some of the technical aspects involved. The book is a good reference for scientists and engineers interested in learning about kernel classifiers. It is not very suitable as a primary student text, but is recommended as secondary reading for students requiring an in-depth insight into this area.