Advances in large margin classifiers

Advances in large margin classifiers

by Smola, Alexander J.

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Title Statements

  • Full title :Advances in large margin classifiers / edited by Alexander J. Smola [and others].

Edition Statements

  • Publication Date:2000.

Publication Statements

  • Publisher(s):MIT Press
  • Place of Publication:Cambridge, Mass
  • Language:und
  • Publication Date:2000.

The Physical Object

  • Description:vi, 412 pages : : illustrations ; : 26 cm

Edition Identifiers

  • ISBN:0262194481, 9780262194488
  • oclc:on1031630623
  • LC Classification:Q325.5
  • Dewey Decimal:006.3/1

Table of Contents

1. Introduction to Large Margin Classifiers -- 2. Roadmap -- I. Support Vector Machines -- 3. Dynamic Alignment Kernels / Chris Watkins -- 4. Natural Regularization from Generative Models / Nuria Oliver, Bernhard Scholkopf and Alexander J. Smola -- 5. Probabilities for SV Machines / John C. Platt -- 6. Maximal Margin Perceptron / Adam Kowalczyk -- 7. Large Margin Rank Boundaries for Ordinal Regression / Ralf Herbrich, Thore Graepel and Klaus Obermayer -- II. Kernel Machines -- 8. Generalized Support Vector Machines / Olvi L. Mangasarian -- 9. Linear Discriminant and Support Vector Classifiers / Isabelle Guyon and David G. Stork -- 10. Regularization Networks and Support Vector Machines / Theodoros Evgeniou, Massimiliano Pontil and Tomaso Poggio -- III. Boosting -- 11. Robust Ensemble Learning / Gunnar Ratsch, Bernhard Scholkopf and Alexander J. Smola / [and others] -- 12. Functional Gradient Techniques for Combining Hypotheses / Llew Mason, Jonathan Baxter and Peter L. Bartlett / [and others] -- 13. Towards a Strategy for Boosting Regressors / Grigoris Karakoulas and John Shawe-Taylor -- IV. Leave-One-Out Methods -- 14. Bounds on Error Expectation for SVM / Vladimir Vapnik and Oli…

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Subjects

Algorithmes ALGORITHMS Apprentissage automatique Computer algorithms Kernel functions large margin classifiers large margins Machine learning Noyaux (Mathématiques)

Writers

Smola, Alexander J.

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