An Introduction to Support Vector Machines and Other Kernel based Learning Methods

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Book Description:
SVMs deliver state-of-the-art performance in real-world applications such as text categorization and hand-written character recognition. This text offers an introduction to Support Vector Machines (SVMs), a generation learning system based on advances in statistical learning theory.

This offers an introduction to Support Vector Machines (SVMs), a generation learning system based on advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are established as one of the standard tools for machine learning and data mining. Students should find the book both stimulating and accessible, while practitioners can be guided through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in self-contained stages. Pointers to relevant literature and web sites containing software provide a useful starting point for further study. Equally, the book and its associated web site aim to guide practitioners to updated literature, new applications, and on-line software.

Book Info:
Published in 2000
ISBN 0521780195

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