234 search results - page 3 / 47 » Is Feature Selection Still Necessary |
AVBPA
2005
Springer
14 years 7 days ago
2005
Springer
Most of the prior work in biometric literature has only emphasized on the issue of feature extraction and classification. However, the critical issue of examining the usefulness of...
AAAI
2010
13 years 8 months ago
2010
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
ACIVS
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
PKDD
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
AAAI
2008
13 years 9 months ago
2008
Traditional information retrieval systems use query words to identify relevant documents. In difficult retrieval tasks, however, one needs access to a wealth of background knowled...