Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Classifier Systems and the Animat Problem
Machine Learning
An Algorithmic Description of XCS
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
Classifier fitness based on accuracy
Evolutionary Computation
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
Post-processing clustering to reduce XCS variability
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Exploring relationships between genotype and oral cancer development through XCS
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
Proceedings of the 8th annual conference on Genetic and evolutionary computation
A probabilistic classifier system and its application in data mining
Evolutionary Computation
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Mining breast cancer data with XCS
Proceedings of the 9th annual conference on Genetic and evolutionary computation
New approach for extracting knowledge from the XCS learning classifier system
International Journal of Hybrid Intelligent Systems
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Learning classifier system ensemble and compact rule set
Connection Science - Evolutionary Learning and Optimisation
Learning Classifier Systems: Looking Back and Glimpsing Ahead
Learning Classifier Systems
Classifier Conditions Using Gene Expression Programming
Learning Classifier Systems
Clustering with XCS on Complex Structure Dataset
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
On the appropriateness of evolutionary rule learning algorithms for malware detection
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
An adaptive genetic-based signature learning system for intrusion detection
Expert Systems with Applications: An International Journal
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
Fuzzy-UCS: a Michigan-style learning fuzzy-classifier system for supervised learning
IEEE Transactions on Evolutionary Computation
Estimating classifier generalization and action's effect: a minimalist approach
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Post-processing clustering to decrease variability in XCS induced rulesets
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Detection of sentinel predictor-class associations with XCS: a sensitivity analysis
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Using XCS to describe continuous-valued problem spaces
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Clustering with XCS and agglomerative rule merging
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Towards a mapping of modern AIS and LCS
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
Ensemble learning classifier system and compact ruleset
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Post-processing operators for decision lists
Proceedings of the 14th annual conference on Genetic and evolutionary computation
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An algorithm is presented for reducing the size of evolved classifier populations. On the Wisconsin Breast Cancer dataset, the algorithm produced compact rulesets substantially smaller than the populations, yet performance in cross-validation tests was nearly unchanged. Classifiers of the rulesets expressed readily interpretable knowledge about the dataset that should be useful to practitioners.