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» A Principled Foundation for LCS
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IWCLS
2007
Springer
14 years 3 months ago
A Principled Foundation for LCS
In this paper we explicitly identify the probabilistic model underlying LCS by linking it to a generalisation of the common Mixture-of-Experts model. Having an explicit representa...
Jan Drugowitsch, Alwyn Barry
GECCO
2007
Springer
173views Optimization» more  GECCO 2007»
14 years 3 months ago
UCSpv: principled voting in UCS rule populations
Credit assignment is a fundamental issue for the Learning Classifier Systems literature. We engage in a detailed investigation of credit assignment in one recent system called UC...
Gavin Brown, Tim Kovacs, James A. R. Marshall
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 3 months ago
Bayesian estimation of rule accuracy in UCS
Learning Classifier Systems differ from many other classification techniques, in that new rules are constantly discovered and evaluated. This feature of LCS gives rise to an im...
James A. R. Marshall, Gavin Brown, Tim Kovacs
IWCLS
2007
Springer
14 years 3 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull
CHI
2006
ACM
14 years 10 months ago
Foundations of a pattern language based on Gestalt principles
Traditionally, Human-Computer Interaction (HCI) is a highly interdisciplinary field bridging the research between psychological research and computer science. This paper places gr...
Karl Flieder, Felix Mödritscher