10. Elements of Statistical Learning Theory

  1. Lutz Hamel

Published Online: 26 OCT 2009

DOI: 10.1002/9780470503065.ch10

Knowledge Discovery with Support Vector Machines

Knowledge Discovery with Support Vector Machines

How to Cite

Hamel, L. (2009) Elements of Statistical Learning Theory, in Knowledge Discovery with Support Vector Machines, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470503065.ch10

Author Information

  1. University of Rhode Island, USA

Publication History

  1. Published Online: 26 OCT 2009
  2. Published Print: 20 JUL 2009

Book Series:

  1. Wiley Series on Methods and Applications in Data Mining

Book Series Editors:

  1. Daniel T. Larose

ISBN Information

Print ISBN: 9780470371923

Online ISBN: 9780470503065

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Keywords:

  • elements of statistical learning theory;
  • sum of empirical risk and VC-confidence - upper bound on expected risk for model;
  • structural risk minimization

Summary

This chapter contains sections titled:

  • The VC-Dimension and Model Complexity

  • A Theoretical Setting for Machine Learning

  • Empirical Risk Minimization

  • VC-Confidence

  • Structural Risk Minimization

  • Discussion

  • Exercises

  • Bibliographic Notes