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» A Monotonic Measure for Optimal Feature Selection
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ICML
2009
IEEE
14 years 5 months ago
Non-monotonic feature selection
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...
Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, ...
ICPR
2010
IEEE
14 years 1 months ago
Feature Selection Using Multiobjective Optimization for Named Entity Recognition
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
Asif Ekbal, Sriparna Saha
ICMCS
2006
IEEE
105views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Entropy and Memory Constrained Vector Quantization with Separability Based Feature Selection
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
Sangho Yoon, Robert M. Gray
ICDM
2002
IEEE
448views Data Mining» more  ICDM 2002»
14 years 3 months ago
Feature Selection Algorithms: A Survey and Experimental Evaluation
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
Luis Carlos Molina, Lluís Belanche, À...
MICAI
2007
Springer
14 years 4 months ago
Building Fine Bayesian Networks Aided by PSO-Based Feature Selection
A successful interpretation of data goes through discovering crucial relationships between variables. Such a task can be accomplished by a Bayesian network. The dark side is that, ...
María del Carmen Chávez, Gladys Casa...