Combining statistical and reinforcement learning in rule-based classification

DOI10.1007/s001800100071zbMath1007.62058OpenAlexW2081725006MaRDI QIDQ1861616

Jorge Muruzábal

Publication date: 9 March 2003

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s001800100071

zbMATH Keywords

clusteringgenetic algorithmdata miningBayesian predictive adaptive sequential system

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Computing methodologies and applications (68U99)

Uses Software

• R
• LISP-STAT
• S-PLUS

Cites Work

• Bagging predictors
• Learning classifier systems from a reinforcement learning perspective
• The anticipatory classifier system and genetic generalization
• Bayesian partition modelling.
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