5138 search results - page 62 / 1028 » Low-Entropy Set Selection. |
107
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DATE
2006
IEEE
15 years 10 months ago
2006
IEEE
This paper presents an efficient method to find the optimal intra-task voltage/frequency scheduling for single tasks in practical real-time systems using statistical workload in...
163
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CSDA
2004
15 years 3 months ago
2004
Variable selection consists in identifying a k-subset of a set of original variables that is optimal for a given criterion of adequate approximation to the whole data set. Several...
146
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PPSN
1998
Springer
15 years 8 months ago
1998
Springer
The choice of the selection method used in an evolutionary algorithm may have considerable impacts on the behavior of the entire algorithm. Therefore, earlier work was devoted to t...
149
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GECCO
2005
Springer
15 years 9 months ago
2005
Springer
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
143
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BMCBI
2006
15 years 4 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. ...