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

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

An Introduction to Support Vector Machines and Other Kernel-based Learning
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods Hardback - 2000 - 1st Edition

by Cristianini, Nello

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Cambridge University Press, 2000-03-28. 1. hardcover. Used: Good. 7.25x0.75x10.25. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  • Author Cristianini, Nello
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition Used: Good
  • Pages 204
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press, New York, New York, U.s.a.
  • Publication date 2000-03-28
  • Illustrated Yes
  • Features Bibliography, Glossary, Illustrated, Index
  • Bookseller's Inventory # SONG0521780195
  • ISBN 9780521780193 / 0521780195
  • Weight 1.1 lbs (0.50 kg)
  • Dimensions 9.8 x 6.9 x 0.6 in (24.89 x 17.53 x 1.52 cm)
  • Size 7.25x0.75x10.25
  • Category Computers - General Information
  • Library of Congress subjects Kernel functions, Support vector machines
  • Library of Congress Catalogue Number 99054716
  • Dewey Decimal Code 006.31
  • Quantity available 1

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Reader reviews for An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

From the publisher

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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