5046 search results - page 36 / 1010 » Feature Selection from Huge Feature Sets |
170
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BMCBI
2006
15 years 6 months ago
2006
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
145
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ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
Feature and structure selection is an important part of many classification problems. In previous papers, an approach called basis pursuit classification has been proposed which p...
193
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JCB
2002
15 years 5 months ago
2002
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
187
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ICPR
2008
IEEE
16 years 7 months ago
2008
IEEE
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
166
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ESANN
2003
15 years 7 months ago
2003
A novel feature selection methodology is proposed with the concept of mutual information. The proposed methodology effectively circumvents two major problems in feature selection ...