Title: Learning Kernel Classifiers: Theory and Algorithms (Herbrich, R.; 2002) [Book reviews]
Abstract: 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.
Publication Year: 2008
Publication Date: 2008-11-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 2
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