1325 search results - page 81 / 265 » Algorithm Selection using Reinforcement Learning |
117
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RSCTC
2000
Springer
15 years 6 months ago
2000
Springer
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
113
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
In this paper we introduce the first algorithms for efficiently learning a simulation policy for Monte-Carlo search. Our main idea is to optimise the balance of a simulation polic...
134
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GECCO
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
116
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ECML
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
142
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ICDM
2007
IEEE
15 years 9 months ago
2007
IEEE
In the field of machine learning and pattern recognition, feature subset selection is an important area, where many approaches have been proposed. In this paper, we choose some fe...