Absumption to complement subsumption in learning classifier systems

Proceedings of the Genetic and Evolutionary Computation Conference ◽

10.1145/3321707.3321719 ◽

2019 ◽

Author(s):

Yi Liu ◽

Will N. Browne ◽

Bing Xue

Keyword(s):

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier

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Session details: Sixteenth international workshop on learning classifier systems

Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion - GECCO '13 Companion ◽

10.1145/3253587 ◽

2013 ◽

Author(s):

Ryan Urbanowicz ◽

Kamran Shafi ◽

Muhammad Iqbal

Keyword(s):

International Workshop ◽

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier

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A Bigger Learning Classifier Systems Bibliography

Advances in Learning Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-44640-0_14 ◽

2001 ◽

pp. 213-249 ◽

Author(s):

Tim Kovacs ◽

Pier Luca Lanzi

Keyword(s):

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier

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A Study on the Evolution of Learning Classifier Systems

Advances in Learning Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-44640-0_12 ◽

2001 ◽

pp. 177-191 ◽

Author(s):

Tiago Sepúlveda ◽

Mário Rui Gomes

Keyword(s):

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier

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Learning Classifier Systems Meet Multiagent Environments

Advances in Learning Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-44640-0_13 ◽

2001 ◽

pp. 192-210 ◽

Author(s):

Keiki Takadama ◽

Takao Terano ◽

Katsunori Shimohara

Keyword(s):

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier ◽

Multiagent Environments

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On Dynamical Genetic Programming: Random Boolean Networks in Learning Classifier Systems

Lecture Notes in Computer Science - Genetic Programming ◽

10.1007/978-3-642-01181-8_4 ◽

2009 ◽

pp. 37-48 ◽

Author(s):

Larry Bull ◽

Richard Preen

Keyword(s):

Genetic Programming ◽

Boolean Networks ◽

Learning Classifier Systems ◽

Classifier Systems ◽

Random Boolean Networks ◽

Learning Classifier

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Self-adaptive routing based on learning classifier systems

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) ◽

10.1109/cec.2004.1330924 ◽

2004 ◽

Author(s):

Chung-Yuan Huang ◽

Chuen-Tsai Sun

Keyword(s):

Adaptive Routing ◽

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier ◽

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Introducing learning classifier systems

Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '18 ◽

10.1145/3205651.3207869 ◽

2018 ◽

Author(s):

Ryan J. Urbanowicz ◽

Danilo Vasconcellos Vargas

Keyword(s):

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier

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Implications of the curse of dimensionality for supervised learning classifier systems: theoretical and empirical analyses

Pattern Analysis and Applications ◽

10.1007/s10044-017-0649-0 ◽

2017 ◽

Vol 22 (2) ◽

pp. 519-536 ◽

Author(s):

Essam Debie ◽

Kamran Shafi

Keyword(s):

Supervised Learning ◽

Curse Of Dimensionality ◽

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier ◽

Empirical Analyses

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Sequential problems that test generalization in learning classifier systems

Evolutionary Intelligence ◽

10.1007/s12065-009-0019-y ◽

2009 ◽

Vol 2 (3) ◽

pp. 141-147 ◽

Author(s):

Martin V. Butz ◽

Pier Luca Lanzi

Keyword(s):

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier

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A multi-core parallelization strategy for statistical significance testing in learning classifier systems

Evolutionary Intelligence ◽

10.1007/s12065-013-0092-0 ◽

2013 ◽

Vol 6 (2) ◽

pp. 127-134 ◽

Author(s):

James Rudd ◽

Jason H. Moore ◽

Ryan J. Urbanowicz

Keyword(s):

Statistical Significance ◽

Learning Classifier Systems ◽

Significance Testing ◽

Classifier Systems ◽

Statistical Significance Testing ◽

Learning Classifier ◽

Parallelization Strategy

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