936 search results - page 54 / 188 » Experimental Comparison of Feature Subset Selection Methods |
178
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ICDM
2005
IEEE
15 years 11 months ago
2005
IEEE
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...
142
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ICDM
2008
IEEE
16 years 13 days ago
2008
IEEE
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
166
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IBPRIA
2009
Springer
15 years 9 months ago
2009
Springer
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For...
196
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KDD
2010
ACM
15 years 10 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
162
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FUIN
2006
15 years 6 months ago
2006
Abstract. In this paper, we propose an adaptive algorithm for merging n (n2) prioritized knowledge bases which takes into account the degrees of conflict and agreement among these ...