12. Regression with Support Vector Machines

  1. Lutz Hamel

Published Online: 26 OCT 2009

DOI: 10.1002/9780470503065.ch12

Knowledge Discovery with Support Vector Machines

Knowledge Discovery with Support Vector Machines

How to Cite

Hamel, L. (2009) Regression with Support Vector Machines, in Knowledge Discovery with Support Vector Machines, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470503065.ch12

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:

  • regression with support vector machines;
  • regression with maximum-margin machines;
  • regression with support vector machines in WEKA and R

Summary

This chapter contains sections titled:

  • Regression as Machine Learning

  • Simple and Multiple Linear Regression

  • Regression with Maximum-Margin Machines

  • Regression with Support Vector Machines

  • Model Evaluation

  • Tool Support

  • Exercises

  • Bibliographic Notes