Learning classifier system

Known as: Classifier system, LCS 
Learning classifier systems, or LCS, are a paradigm of rule-based machine learning methods that combine a discovery component (e.g. typically a… (More)
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2010
2010
This article introduces a new kind of self-adaptation in discovery mechanism of learning classi ̄er system XCS. Unlike the… (More)
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Highly Cited
2008
Highly Cited
2008
UCS is a supervised learning classifier system that was introduced in 2003 for classification in data mining tasks. The… (More)
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Highly Cited
2003
Highly Cited
2003
Recently, Learning Classifier Systems (LCS) and particularly XCS have arisen as promising methods for classification tasks and… (More)
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2002
2002
Impetuous development of artificial neural networks makes it possible to transfer many ideas from this area into adjacent areas… (More)
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Highly Cited
2000
Highly Cited
2000
Interestingly, learning classifier systems from foundations to applications that you really wait for now is coming. It's… (More)
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2000
2000
We asked “What is a Learning Classifier System” to some of the best-known researchers in the field. These are their answers. 
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Highly Cited
1998
Highly Cited
1998
10 Generalization in the XCS Classifier System evaluation involved testing the program on all 64 inputs from the 6-multiplexer… (More)
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Highly Cited
1994
Highly Cited
1994
We approach the difficult task of analyzing the complex behavior of even the simplest learning classifier system (LCS) by… (More)
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Highly Cited
1994
Highly Cited
1994
A basic classifier system, ZCS, is presented that keeps much of Holland's original framework but simplifies it to increase… (More)
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Highly Cited
1994
Highly Cited
1994
A multiple classifier system is a powerful solution to difficult pattern recognition problems involving large class sets and… (More)
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