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Chapter 7. Methods for Regression

  1. Vladimir Cherkassky,
  2. Filip Mulier

Published Online: 20 NOV 2006

DOI: 10.1002/9780470140529.ch7

Learning from Data: Concepts, Theory, and Methods, Second Edition

Learning from Data: Concepts, Theory, and Methods, Second Edition

How to Cite

Cherkassky, V. and Mulier, F. (2006) Methods for Regression, in Learning from Data: Concepts, Theory, and Methods, Second Edition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470140529.ch7

Publication History

  1. Published Online: 20 NOV 2006
  2. Published Print: 10 AUG 2007

ISBN Information

Print ISBN: 9780471681823

Online ISBN: 9780470140529

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Keywords:

  • methods for regression;
  • multivariate adaptive regression splines (MARS);
  • combining predictive models

Summary

This chapter contains sections titled:

  • Taxonomy: Dictionary versus Kernel Representation

  • Linear Estimators

  • Adaptive Dictionary Methods

  • Adaptive Kernel Methods and Local Risk Minimization

  • Empirical Studies

  • Combining Predictive Models

  • Summary