936 search results - page 104 / 188 » Experimental Comparison of Feature Subset Selection Methods |
164
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ILP
2004
Springer
15 years 11 months ago
2004
Springer
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
145
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
In this work we aim to capitalize on the availability of Internet image search engines to automatically create image training sets from user provided queries. This problem is part...
190
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TEC
2008
15 years 6 months ago
2008
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
144
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ESANN
2007
15 years 7 months ago
2007
Independent Variable Group Analysis (IVGA) is a method for grouping dependent variables together while keeping mutually independent or weakly dependent variables in separate group...
177
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ICPR
2008
IEEE
16 years 18 days ago
2008
IEEE
Recently, gender classification from face images has attracted a great deal of attention. It can be useful in many places. In this paper, a novel hybrid face coding method by fusi...