Lecture Notes in Computer Science - Learning Classifier Systems
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Published By Springer Berlin Heidelberg

9783540881377, 9783540881384

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Learning Classifier System with Mutual-Information-Based Fitness

Lecture Notes in Computer Science - Learning Classifier Systems ◽

10.1007/978-3-540-88138-4_8 ◽

2008 ◽

pp. 136-153

Author(s):

Robert Elliott Smith ◽

Max Kun Jiang

Keyword(s):

Mutual Information ◽

Learning Classifier System ◽

Classifier System ◽

Learning Classifier

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Analysis and Improvements of the Classifier Error Estimate in XCSF

Lecture Notes in Computer Science - Learning Classifier Systems ◽

10.1007/978-3-540-88138-4_7 ◽

2008 ◽

pp. 117-135 ◽

Cited By ~ 2

Author(s):

Daniele Loiacono ◽

Jan Drugowitsch ◽

Alwyn Barry ◽

Pier Luca Lanzi

Keyword(s):

Error Estimate

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A Principled Foundation for LCS

Lecture Notes in Computer Science - Learning Classifier Systems ◽

10.1007/978-3-540-88138-4_5 ◽

2008 ◽

pp. 77-95

Author(s):

Jan Drugowitsch ◽

Alwyn M. Barry

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Analysis of Population Evolution in Classifier Systems Using Symbolic Representations

Lecture Notes in Computer Science - Learning Classifier Systems ◽

10.1007/978-3-540-88138-4_2 ◽

2008 ◽

pp. 22-45 ◽

Cited By ~ 1

Author(s):

Pier Luca Lanzi ◽

Stefano Rocca ◽

Kumara Sastry ◽

Stefania Solari

Keyword(s):

Classifier Systems ◽

Symbolic Representations ◽

Population Evolution

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Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks

Lecture Notes in Computer Science - Learning Classifier Systems ◽

10.1007/978-3-540-88138-4_17 ◽

2008 ◽

pp. 286-305 ◽

Cited By ~ 1

Author(s):

Renan C. Moioli ◽

Patricia A. Vargas ◽

Fernando J. Von Zuben

Keyword(s):

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier ◽

Robotic Tasks

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Substructural Surrogates for Learning Decomposable Classification Problems

Lecture Notes in Computer Science - Learning Classifier Systems ◽

10.1007/978-3-540-88138-4_14 ◽

2008 ◽

pp. 235-254 ◽

Cited By ~ 1

Author(s):

Albert Orriols-Puig ◽

Kumara Sastry ◽

David E. Goldberg ◽

Ester Bernadó-Mansilla

Keyword(s):

Classification Problems

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Linkage Learning, Rule Representation, and the χ-Ary Extended Compact Classifier System

Lecture Notes in Computer Science - Learning Classifier Systems ◽

10.1007/978-3-540-88138-4_11 ◽

2008 ◽

pp. 189-205 ◽

Cited By ~ 1

Author(s):

Xavier Llorà ◽

Kumara Sastry ◽

Cláudio F. Lima ◽

Fernando G. Lobo ◽

David E. Goldberg

Keyword(s):

Learning Rule ◽

Classifier System ◽

Linkage Learning ◽

Rule Representation

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Evolving Classifiers Ensembles with Heterogeneous Predictors

Lecture Notes in Computer Science - Learning Classifier Systems ◽

10.1007/978-3-540-88138-4_13 ◽

2008 ◽

pp. 218-234 ◽

Cited By ~ 4

Author(s):

Pier Luca Lanzi ◽

Daniele Loiacono ◽

Matteo Zanini

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A Learning Classifier System Approach to Relational Reinforcement Learning

Lecture Notes in Computer Science - Learning Classifier Systems ◽

10.1007/978-3-540-88138-4_10 ◽

2008 ◽

pp. 169-188 ◽

Cited By ~ 6

Author(s):

Drew Mellor

Keyword(s):

Reinforcement Learning ◽

System Approach ◽

Learning Classifier System ◽

Classifier System ◽

Learning Classifier

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Investigating Scaling of an Abstracted LCS Utilising Ternary and S-Expression Alphabets

Lecture Notes in Computer Science - Learning Classifier Systems ◽

10.1007/978-3-540-88138-4_3 ◽

2008 ◽

pp. 46-56 ◽

Cited By ~ 4

Author(s):

Charalambos Ioannides ◽

Will Browne

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Lecture Notes in Computer Science - Learning Classifier SystemsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

A Learning Classifier System with Mutual-Information-Based Fitness

Analysis and Improvements of the Classifier Error Estimate in XCSF

A Principled Foundation for LCS

Analysis of Population Evolution in Classifier Systems Using Symbolic Representations

Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks

Substructural Surrogates for Learning Decomposable Classification Problems

Linkage Learning, Rule Representation, and the χ-Ary Extended Compact Classifier System

Evolving Classifiers Ensembles with Heterogeneous Predictors

A Learning Classifier System Approach to Relational Reinforcement Learning

Investigating Scaling of an Abstracted LCS Utilising Ternary and S-Expression Alphabets

Lecture Notes in Computer Science - Learning Classifier Systems
Latest Publications