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» Wrapper for Ranking Feature Selection
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PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
14 years 27 days ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
VLDB
2001
ACM
143views Database» more  VLDB 2001»
13 years 12 months ago
Supervised Wrapper Generation with Lixto
We illustrate basic features of the Lixto wrapper generator such as the user and system interaction, the capacious visual interface, the marking and selecting procedures, and the ...
Robert Baumgartner, Sergio Flesca, Georg Gottlob
ACIVS
2009
Springer
14 years 2 months ago
Image Categorization Using ESFS: A New Embedded Feature Selection Method Based on SFS
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-...
Huanzhang Fu, Zhongzhe Xiao, Emmanuel Dellandr&eac...
NIPS
2003
13 years 9 months ago
Feature Selection in Clustering Problems
A novel approach to combining clustering and feature selection is presented. It implements a wrapper strategy for feature selection, in the sense that the features are directly se...
Volker Roth, Tilman Lange
ICANN
2007
Springer
13 years 11 months ago
An Efficient Search Strategy for Feature Selection Using Chow-Liu Trees
Within the taxonomy of feature extraction methods, recently the Wrapper approaches lost some popularity due to the associated computational burden, compared to Embedded or Filter m...
Erik Schaffernicht, Volker Stephan, Horst-Michael ...