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

av Nello Cristianini. Inbunden, 2000

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  • Inbunden (Hardback)
  • Språk: Engelska
  • Antal sidor: 204
  • Utg.datum: 2000-03-01
  • Förlag: Cambridge University Press
  • Medarbetare: Shawe-Taylor, John
  • Illustratör/Fotograf: 5 colour pl 12 diagrams 25 exercises
  • Illustrationer: 12d.5col.pl. 25exercises
  • Dimensioner: 250 x 180 x 15 mm
  • Vikt: 580 g
  • Antal komponenter: 1
  • Komponenter: 1369:Standard Color 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Case Laminate on White w/Gloss La
  • ISBN: 9780521780193

Recensioner i media

'... 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 fr Mathematik und ihre Grenzgebiete Mathematics Abstracts

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Innehållsförteckning

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.