Extending XCS with Cyclic Graphs for Scalability on Complex Boolean Problems

A main research direction in the field of evolutionary machine learning is to develop a scalable classifier system to solve high-dimensional problems. Recently work has begun on autonomously reusing learned building blocks of knowledge to scale from low-dimensional problems to high-dimensional ones....

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Veröffentlicht in:	Evolutionary computation Jg. 25; H. 2; S. 173 - 204
Hauptverfasser:	Iqbal, Muhammad, Browne, Will N, Zhang, Mengjie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.06.2017
Schlagworte:	Algorithms Artificial Intelligence Biological Evolution Humans Machine Learning - standards Machine Learning - trends XCS state machines Learning classifier systems scalability pattern recognition
ISSN:	1530-9304
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