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Keyword

learning classifier systems

Description: Learning classifier systems are machine-learning systems that use adaptive rules to classify inputs, make predictions, or learn decision policies.
Wikidata ID: wiki/Q3509276
OpenAlex ID: keywords/learning-classifier-systems
Recent Advances in Memetic Algorithms
2005 · Hart, William E, Smith, J. E, et al. · Springer eBooks · 443
Accuracy-Based Learning Classifier Systems: Models, Analysis and Applications to Classification Tasks
2003 · Ester Bernadó-Mansilla, Josep M. Garrell-Guiu · Evolutionary Computation · 357
An Analysis of Generalization in the XCS Classifier System
1999 · Pier Luca Lanzi · Evolutionary Computation · 330
Learning Classifier Systems: A Complete Introduction, Review, and Roadmap
2009 · Ryan J. Urbanowicz, Jason H. Moore · Journal of Artificial Evolution and Applications · 306
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Searching for Diverse, Cooperative Populations with Genetic Algorithms
1993 · Robert E. Smith, Stephanie Forrest, et al. · Evolutionary Computation · 256
Computer-Aided Gas Pipeline Operation Using Genetic Algorithms and Rule Learning.
1983 · David E. Goldberg · Deep Blue (University of Michigan) · 242
Robot shaping: developing autonomous agents through learning
1994 · Marco Dorigo, Marco Colombetti · Artificial Intelligence · 238
Toward a Theory of Generalization and Learning in XCS
2004 · M.V. Butz, T. Kovacs, et al. · IEEE Transactions on Evolutionary Computation · 236
Evolving fuzzy rule based controllers using genetic algorithms
1996 · Brian Carse, Terence C. Fogarty, et al. · Fuzzy Sets and Systems · 227
Genetic programming: Proceedings of the first annual conference 1996
1997 · Computers & Mathematics with Applications · 216
Evolutionary rule-based systems for imbalanced data sets
2008 · Albert Orriols-Puig, Ester Bernadó-Mansilla · Soft Computing · 198
Learning Classifier Systems, From Foundations to Applications
2000 · Pier Luca Lanzi, Wolfgang Stolzmann, et al. · Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) · 184
Genetics-based machine learning and behavior-based robotics: a new synthesis
1993 · M. Dorigo, U. Schnepf · IEEE Transactions on Systems Man and Cybernetics · 179
Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems
2013 · Muhammad Iqbal, Will N. Browne, et al. · IEEE Transactions on Evolutionary Computation · 170
Genetic algorithms and Darwinian approaches in financial applications: A survey
2015 · Rubén Aguilar-Rivera, Manuel Valenzuela-Rendón, et al. · Expert Systems with Applications · 166
For Real! XCS with Continuous-Valued Inputs
2003 · Christopher Stone, Larry Bull · Evolutionary Computation · 152
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Applications of Learning Classifier Systems
2004 · Bull, L. · Studies in fuzziness and soft computing · 148
Learning Classifier Systems
2002 · Larry Bull, Pler Luca Lanzi, et al. · Soft Computing · 146
Hyper-heuristics: Learning To Combine Simple Heuristics In Bin-packing Problems
2002 · Peter Ross, Sonia Schulenburg, et al. · Edinburgh Napier Research Repository (Edinburgh Napier University) · 136
Rule-Based Evolutionary Online Learning Systems : A Principled Approach to LCS Analysis and Design
2006 · Butz, Martin V. · 130
Implicit Niching in a Learning Classifier System: Nature's Way
1994 · Jeffrey Horn, David E. Goldberg, et al. · Evolutionary Computation · 129
ExSTraCS 2.0: description and evaluation of a scalable learning classifier system
2015 · Ryan J. Urbanowicz, Jason H. Moore · Evolutionary Intelligence · 125
Advances in Learning Classifier Systems
2001 · Luca Lanzi, Pier, Wilson, Stewart W, et al. · Lecture notes in computer science · 124
What Is a Learning Classifier System?
2000 · John H. Holland, Lashon B. Booker, et al. · Lecture notes in computer science · 121
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction
2008 · M.V. Butz, P.L. Lanzi, et al. · IEEE Transactions on Evolutionary Computation · 120
Works count: 1,593
Citation count: 17,500
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