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149
Voted
CORR
2010
Springer
15 years 3 months ago
2010
Springer
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
134
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SASO
2009
IEEE
15 years 11 months ago
2009
IEEE
—Controlling particle swarm optimization is typically an unintuitive task, involving a process of adjusting low-level parameters of the system that often do not have obvious corr...
182
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ICIP
2001
IEEE
16 years 6 months ago
2001
IEEE
Various relevance feedback algorithms have been proposed in recent years in the area of content-based image retrieval. This paper gives a brief review and analysis on existing tec...
140
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ICANN
2009
Springer
15 years 11 months ago
2009
Springer
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
130
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...