2010 search results - page 106 / 402 » Feature Subset Selection Using a Genetic Algorithm |
105
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GECCO
2008
Springer
15 years 3 months ago
2008
Springer
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
100
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ISDA
2009
IEEE
15 years 8 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
124
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FUIN
2010
14 years 9 months ago
2010
Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
126
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
The accurate quantification of proteins is important in several areas of cell biology, biotechnology and medicine. Both relative and absolute quantification of proteins is often d...
116
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TEC
2002
15 years 1 months ago
2002
Multiobjective evolutionary algorithms (EAs) that use nondominated sorting and sharing have been criticized mainly for their: 1) ( 3) computational complexity (where is the number ...