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AAAI
2011
12 years 9 months ago
A Feasible Nonconvex Relaxation Approach to Feature Selection
Variable selection problems are typically addressed under a penalized optimization framework. Nonconvex penalties such as the minimax concave plus (MCP) and smoothly clipped absol...
Cuixia Gao, Naiyan Wang, Qi Yu, Zhihua Zhang
IPMU
2010
Springer
13 years 8 months ago
Attribute Value Selection Considering the Minimum Description Length Approach and Feature Granularity
Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
Kemal Ince, Frank Klawonn
BIOINFORMATICS
1998
64views more  BIOINFORMATICS 1998»
13 years 9 months ago
Feature selection for genetic sequence classification
Nadia A. Chuzhanova, Antonia J. Jones, Steve Marge...
EXPERT
1998
92views more  EXPERT 1998»
13 years 9 months ago
Feature Subset Selection Using a Genetic Algorithm
Jihoon Yang, Vasant Honavar
JIFS
2002
52views more  JIFS 2002»
13 years 9 months ago
Projection-based measure for efficient feature selection
Roberto Ruiz, José Cristóbal Riquelm...