Abstract is missing.
- Analyzing Parameter Sensitivity and Classifier Representations for Real-Valued XCSAtsushi Wada, Keiki Takadama, Katsunori Shimohara, Osamu Katai. 1-16 [doi]
- Use of Learning Classifier System for Inferring Natural Language GrammarOlgierd Unold, Grzegorz Dabrowski. 17-24 [doi]
- Backpropagation in Accuracy-Based Neural Learning Classifier SystemsToby O Hara, Larry Bull. 25-39 [doi]
- Binary Rule Encoding Schemes: A Study Using the Compact Classifier SystemXavier Llorà, Kumara Sastry, David E. Goldberg. 40-58 [doi]
- Bloat Control and Generalization Pressure Using the Minimum Description Length Principle for a Pittsburgh Approach Learning Classifier SystemJaume Bacardit, Josep Maria Garrell i Guiu. 59-79 [doi]
- Post-processing Clustering to Decrease Variability in XCS Induced RulesetsFlavio Baronti, Alessandro Passaro, Antonina Starita. 80-92 [doi]
- LCSE: Learning Classifier System Ensemble for Incremental Medical InstancesYang Gao, Joshua Zhexue Huang, Hongqiang Rong, Daqian Gu. 93-103 [doi]
- Effect of Pure Error-Based Fitness in XCSMartin V. Butz, David E. Goldberg, Pier Luca Lanzi. 104-114 [doi]
- A Fuzzy System to Control Exploration Rate in XCSAli Hamzeh, Adel Rahmani. 115-127 [doi]
- Counter Example for Q-Bucket-Brigade Under Prediction ProblemAtsushi Wada, Keiki Takadama, Katsunori Shimohara. 128-143 [doi]
- An Experimental Comparison Between ATNoSFERES and ACSSamuel Landau, Olivier Sigaud, Sébastien Picault, Pierre Gérard. 144-160 [doi]
- The Class Imbalance Problem in UCS Classifier System: A Preliminary StudyAlbert Orriols-Puig, Ester Bernadó-Mansilla. 161-180 [doi]
- Three Methods for Covering Missing Input Data in XCSJohn H. Holmes, Jennifer A. Sager, Warren B. Bilker. 181-192 [doi]
- A Hyper-Heuristic Framework with XCS: Learning to Create Novel Problem-Solving Algorithms Constructed from Simpler Algorithmic IngredientsJavier G. Marín-Blázquez, Sonia Schulenburg. 193-218 [doi]
- Adaptive Value Function Approximations in Classifier SystemsLashon B. Booker. 219-238 [doi]
- Three Architectures for Continuous ActionStewart W. Wilson. 239-257 [doi]
- A Formal Relationship Between Ant Colony Optimizers and Classifier SystemsLawrence Davis. 258-269 [doi]
- Detection of Sentinel Predictor-Class Associations with XCS: A Sensitivity AnalysisJohn H. Holmes. 270-281 [doi]
- Data Mining in Learning Classifier Systems: Comparing XCS with GAssistJaume Bacardit, Martin V. Butz. 282-290 [doi]
- Improving the Performance of a Pittsburgh Learning Classifier System Using a Default RuleJaume Bacardit, David E. Goldberg, Martin V. Butz. 291-307 [doi]
- Using XCS to Describe Continuous-Valued Problem SpacesDavid Wyatt, Larry Bull, Ian C. Parmee. 308-332 [doi]
- The EpiXCS Workbench: A Tool for Experimentation and VisualizationJohn H. Holmes, Jennifer A. Sager. 333-344 [doi]