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» Neural-Based Learning Classifier Systems
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AI
2001
Springer
13 years 9 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
IWLCS
2005
Springer
13 years 10 months ago
Binary Rule Encoding Schemes: A Study Using the Compact Classifier System
Xavier Llorà, Kumara Sastry, David E. Goldb...
GECCO
2006
Springer
196views Optimization» more  GECCO 2006»
13 years 8 months ago
An anticipatory approach to improve XCSF
XCSF is a novel version of learning classifier systems (LCS) which extends the typical concept of LCS by introducing computable classifier prediction. In XCSF Classifier predictio...
Amin Nikanjam, Adel Torkaman Rahmani