Mining Oblique Data with XCS-Reference-Cited by-同舟云学术

Mining Oblique Data with XCS

Published:2001 Issue: Volume: Page:158-174
ISSN:0302-9743
Container-title:Advances in Learning Classifier Systems
language:
Short-container-title:

Author:

Wilson Stewart W.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-44640-0_11

Reference18 articles.

1. Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela, and Robert E. Smith, editors. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99). Morgan Kaufmann: San Francisco, CA, 1999.

2. C.L. Blake and C.J. Merz. UCI repository of machine learning databases, 1998. http://www.ics.uci.edu/~mlearn/MLRepository.html .

3. Martin V. Butz and Stewart W. Wilson. An algorithmic description of XCS. This volume.

4. John H. Holmes. Discovering Risk of Disease with a Learning Classifier System. In Thomas Bäck, editor, Proceedings of the 7th International Conference on Genetic Algorithms (ICGA97). Morgan Kaufmann: San Francisco CA, 1997.

5. Tim Kovacs. XCS classifier system reliably evolves accurate, complete, and minimal representations for boolean functions. In Roy, Chawdhry, and Pant, editors, Soft Computing in Engineering Design and Manufacturing, pages 59–68. Springer-Verlag, London, 1997.

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