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175
Voted
PKDD
2009
Springer
16 years 1 months ago
2009
Springer
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
184
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PKDD
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
205
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TABLEAUX
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. The management of qualitative spatial information is an important research area in computer science and AI. Modal logic provides a natural framework for the formalization...
185
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ASPDAC
2009
ACM
16 years 1 months ago
2009
ACM
— As technology scales, the delay uncertainty caused by process variations has become increasingly pronounced in deep submicron designs. In the presence of process variations, wo...
182
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ASPDAC
2009
ACM
16 years 1 months ago
2009
ACM
—Considering process variability at the behavior synthesis level is necessary, because it makes some instances of function units slower and others faster, resulting in unbalanced...