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Learning classifier systems: a survey

✍ Scribed by Olivier Sigaud; Stewart W. Wilson


Publisher
Springer
Year
2007
Tongue
English
Weight
334 KB
Volume
11
Category
Article
ISSN
1432-7643

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Rules are an accepted means of representing knowledge for virtually every domain. Traditional machine learning methods derive rules by exploring sets of examples using statistical or information theoretic techniques. Alternatively, rules can be discovered through methods of Evolutionary Computation