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


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 ISBN  0521780195
 Edition  1st
 Pages  189
 Publisher  Cambridge University Press
 Author(s)  Nello Cristianini, John Shawe-Taylor
 Release Date  March 28, 2000
Review
"This book is an excellent introduction to this area... it is nicely organized, self-contained, and well written. The book is most suitable for the beginning graduate student in computer science." Richard A Chechile, Journal of Mathematical Psychology

Book Description
This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software make it an ideal starting point for further study.







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