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UAI
2000
13 years 10 months ago
Feature Selection and Dualities in Maximum Entropy Discrimination
Incorporating feature selection into a classi cation or regression method often carries a number of advantages. In this paper we formalize feature selection speci cally from a dis...
Tony Jebara, Tommi Jaakkola
ESANN
2007
13 years 10 months ago
Feature clustering and mutual information for the selection of variables in spectral data
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
Catherine Krier, Damien François, Fabrice R...
ICANN
2010
Springer
13 years 10 months ago
On Estimating Mutual Information for Feature Selection
Abstract. Mutual Information (MI) is a powerful concept from information theory used in many application fields. For practical tasks it is often necessary to estimate the Mutual In...
Erik Schaffernicht, Robert Kaltenhaeuser, Saurabh ...
IPMI
2003
Springer
14 years 9 months ago
Feature Selection for Shape-Based Classification of Biological Objects
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...
Paul A. Yushkevich, Sarang C. Joshi, Stephen M. Pi...
BIBM
2009
IEEE
192views Bioinformatics» more  BIBM 2009»
14 years 3 months ago
A Multi-task Feature Selection Filter for Microarray Classification
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...
Liang Lan, Slobodan Vucetic