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KAIS
2007
97views more  KAIS 2007»
15 years 1 months ago
Stability of feature selection algorithms: a study on high-dimensional spaces
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
IJCNN
2006
IEEE
15 years 8 months ago
Semi-supervised feature selection via multiobjective optimization
Abstract— In previous work, we have shown that both unsupervised feature selection and the semi-supervised clustering problem can be usefully formulated as multiobjective optimiz...
Julia Handl, Joshua D. Knowles
126
Voted
ICML
1997
IEEE
15 years 5 months ago
Efficient Feature Selection in Conceptual Clustering
Feature selection has proven to be a valuable technique in supervised learning for improving predictive accuracy while reducing the number of attributes considered in a task. We i...
Mark Devaney, Ashwin Ram
NIPS
2003
15 years 3 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
91
Voted
IJCAI
2007
15 years 3 months ago
Searching for Interacting Features
Feature interaction presents a challenge to feature selection for classification. A feature by itself may have little correlation with the target concept, but when it is combined...
Zheng Zhao, Huan Liu