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172
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
This paper addresses the problem of finding a small and coherent subset of points in a given data. This problem, sometimes referred to as one-class or set covering, requires to fi...
187
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
250
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ATAL
2011
Springer
14 years 6 months ago
2011
Springer
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
189
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GECCO
2005
Springer
16 years 1 days ago
2005
Springer
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
168
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CVPR
2010
IEEE
15 years 12 months ago
2010
IEEE
This paper proposes a new learning method, which integrates feature selection with classifier construction for human detection via solving three optimization models. Firstly, the ...