1382 search results - page 11 / 277 » An Experimental Study on Feature Subset Selection Methods |
131
Voted
IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
— We propose the Multiresponse Sparse Regression algorithm, an input selection method for the purpose of estimating several response variables. It is a forward selection procedur...
130
Voted
JMLR
2010
14 years 10 months ago
2010
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
117
Voted
WSC
2007
15 years 5 months ago
2007
Two-stage selection procedures have been widely studied and applied in determining the required sample size (i.e., the number of replications or batches) for selecting the best of...
163
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ICDM
2002
IEEE
15 years 8 months ago
2002
IEEE
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
144
Voted
IBPRIA
2003
Springer
15 years 8 months ago
2003
Springer
Abstract. In this paper we propose a supervised method for the segmentation of masses in mammographic images. The algorithm starts with a selected pixel inside the mass, which has ...