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» Remainder Subset Awareness for Feature Subset Selection
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ECAI
2010
Springer
14 years 9 months ago
Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
Qiang Lou, Zoran Obradovic
101
Voted
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 5 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
FSKD
2005
Springer
180views Fuzzy Logic» more  FSKD 2005»
15 years 5 months ago
An Effective Feature Selection Scheme via Genetic Algorithm Using Mutual Information
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
Chunkai K. Zhang, Hong Hu
JCP
2008
114views more  JCP 2008»
14 years 10 months ago
A Novel Feature Selection Algorithm Based on Hypothesis-Margin
Iterative search margin based algorithm(Simba) has been proven effective for feature selection. However, it still has the following disadvantages: (1) the previously proposed model...
Ming Yang, Fei Wang, Ping Yang
ICIP
2005
IEEE
16 years 1 months ago
Feature selection with nonparametric statistics
In this paper we discuss a general framework for feature selection based on nonparametric statistics. The three stage approach we propose is based on the assumption that the avail...
Emanuele Franceschi, Francesca Odone, Fabrizio Sme...