An introduction to Support Vector Machines : and other kernel-based learning methods /

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Bibliographic Details
Author / Creator:Cristianini, Nello, 1968-
Imprint:Cambridge ; New York : Cambridge University Press, 2000.
Description:xiii, 189 p. : ill. ; 26 cm.
Language:English
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/4370757
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Other authors / contributors:Shawe-Taylor, John.
ISBN:0521780195 (hb)
Notes:Includes bibliographical references (p. 173-186) and index.
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