An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Author:   Nello Cristianini (University of London) ,  John Shawe-Taylor (Royal Holloway, University of London)
Publisher:   Cambridge University Press
ISBN:  

9780511801389


Publication Date:   05 March 2013
Format:   Undefined
Availability:   Available To Order   Availability explained
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods


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Author:   Nello Cristianini (University of London) ,  John Shawe-Taylor (Royal Holloway, University of London)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press (Virtual Publishing)
ISBN:  

9780511801389


ISBN 10:   0511801386
Publication Date:   05 March 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Undefined
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Preface; 1. The learning methodology; 2. Linear learning machines; 3. Kernel-induced feature spaces; 4. Generalisation theory; 5. Optimisation theory; 6. Support vector machines; 7. Implementation techniques; 8. Applications of support vector machines; Appendix A: pseudocode for the SMO algorithm; Appendix B: background mathematics; Appendix C: glossary; Appendix D: notation; Bibliography; Index.

Reviews

'... the most accessible introduction to the area I have yet seen'. D. J. Hand, Publication of the International Statistical Institute 'The book is an admirable presentation of this powerful new approach to pattern classification.' Alex M. Andrew, Robotica ' ... an excellent book, complete and readable without big requirements in mathematical functional analysis.' Zentralblatt fur Mathematik und ihre Grenzgebiete Mathematics Abstracts


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