8. Implementation

  1. Lutz Hamel

Published Online: 26 OCT 2009

DOI: 10.1002/9780470503065.ch8

Knowledge Discovery with Support Vector Machines

Knowledge Discovery with Support Vector Machines

How to Cite

Hamel, L. (2009) Implementation, in Knowledge Discovery with Support Vector Machines, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470503065.ch8

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:

  • implementation strategies for support vector machine training algorithms;
  • sequential minimal optimization (SMO) - fast and elegant optimization algorithm;
  • quadratic programming solution and straightforward support vector machine implementation

Summary

This chapter contains sections titled:

  • Gradient Ascent

  • Quadratic Programming

  • Sequential Minimal Optimization

  • Discussion

  • Exercises

  • Bibliographic Notes