1325 search results - page 126 / 265 » Algorithm Selection using Reinforcement Learning |
110
Voted
ICCAD
2006
IEEE
15 years 8 months ago
2006
IEEE
Dynamic power management (DPM) work proposed to date places inactive components into low power states using a single DPM policy. In contrast, we instead dynamically select among a...
123
Voted
PKDD
2010
Springer
15 years 1 months ago
2010
Springer
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
103
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EVOW
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. We deal with two important problems in pattern recognition that arise in the analysis of large datasets. While most feature subset selection methods use statistical techn...
124
Voted
IMECS
2007
15 years 4 months ago
2007
The benefit of incorporating background knowledge in the learning process has been successfully demonstrated in numerous applications of ILP methods. Nevertheless the effect of inc...
122
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BMCBI
2006
15 years 2 months ago
2006
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...