3038 search results - page 232 / 608 » High-Speed Function Approximation |
192
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INFOCOM
2010
IEEE
15 years 5 months ago
2010
IEEE
Abstract—We study network optimization that considers energy minimization as an objective. Studies have shown that mechanisms such as speed scaling can significantly reduce the ...
222
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ML
2008
ACM
15 years 6 months ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
198
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ICML
1999
IEEE
16 years 7 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
190
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FUZZIEEE
2007
IEEE
16 years 26 days ago
2007
IEEE
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
156
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GECCO
2007
Springer
16 years 21 days ago
2007
Springer
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...