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199
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ISMVL
1997
IEEE
15 years 11 months ago
1997
IEEE
In this paper, the minimization of incompletely specified multi-valued functions using functional decomposition is discussed. From the aspect of machine learning, learning sample...
155
Voted
ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
176
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ALT
2004
Springer
16 years 3 months ago
2004
Springer
When applying aggregating strategies to Prediction with Expert Advice, the learning rate must be adaptively tuned. The natural choice of complexity/current loss renders the analys...
162
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IWCLS
2007
Springer
16 years 1 months ago
2007
Springer
Abstract. This paper provides a deep insight into the learning mechanisms of UCS, a learning classifier system (LCS) derived from XCS that works under a supervised learning scheme...
227
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SAC
2010
ACM
15 years 1 months ago
2010
ACM
This work proposes a new methodology for automatically validating the internal lighting system of an automotive, i.e., assessing the visual quality of an instrument cluster (IC) f...