5046 search results - page 55 / 1010 » Feature Selection from Huge Feature Sets |
132
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CORR
2007
Springer
15 years 6 months ago
2007
Springer
Combining the mutual information criterion with a forward feature selection strategy offers a good trade-off between optimality of the selected feature subset and computation time...
177
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ICASSP
2008
IEEE
16 years 23 days ago
2008
IEEE
Missing data techniques have been recently applied to speaker recognition to increase performance in noisy environments. The drawback of these techniques is the vulnerability of t...
158
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IEAAIE
2003
Springer
15 years 11 months ago
2003
Springer
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simple...
154
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KAIS
2007
15 years 6 months ago
2007
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
165
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ICML
1998
IEEE
16 years 7 months ago
1998
IEEE
Computational comparison is made between two feature selection approaches for nding a separating plane that discriminates between two point sets in an n-dimensional feature space ...