4584 search results - page 304 / 917 » Sequential parameter optimization |
137
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AAAI
2010
15 years 4 months ago
2010
Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (appro...
145
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AAAI
2006
15 years 4 months ago
2006
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
119
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JSAC
2008
15 years 3 months ago
2008
Abstract--Optimal tone allocation in downlink OFDMA networks is a non-convex NP-hard problem that requires extensive feedback for channel information. In this paper, two constantco...
187
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JMLR
2010
14 years 10 months ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
111
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AE
2007
Springer
15 years 9 months ago
2007
Springer
This paper focuses on the design of control strategies for Evolutionary Algorithms. We propose a method to encapsulate multiple parameters, reducing control to only one criterion. ...