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94
Voted
RSCTC
2000
Springer
15 years 4 months ago
2000
Springer
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
105
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We study an interesting and challenging problem, online streaming feature selection, in which the size of the feature set is unknown, and not all features are available for learni...
72
Voted
TNN
2008
15 years 19 days ago
2008
An experimental study on two decision issues for wrapper feature selection (FS) with multilayer perceptrons and the sequential backward selection (SBS) procedure is presented. The ...
103
Voted
AAAI
1994
15 years 2 months ago
1994
Large amounts of low- to medium-quality English texts are now being produced by machine translation (MT) systems, optical character readers (OCR), and non-native speakers of Engli...
106
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ICDM
2009
IEEE
15 years 7 months ago
2009
IEEE
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....