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» Feature Subset Selection Using a Genetic Algorithm
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BMCBI
2007
147views more  BMCBI 2007»
13 years 9 months ago
Bias in random forest variable importance measures: Illustrations, sources and a solution
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeile...
ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
14 years 2 months ago
On Feature Selection through Clustering
We study an algorithm for feature selection that clusters attributes using a special metric and then makes use of the dendrogram of the resulting cluster hierarchy to choose the m...
Richard Butterworth, Gregory Piatetsky-Shapiro, Da...
TWC
2008
117views more  TWC 2008»
13 years 9 months ago
On the design, selection algorithm and performance analysis of limited feedback transmit beamforming
Multiple-input multiple-output (MIMO) systems achieve significant diversity and array gains by using transmit beamforming. When complete channel state information (CSI) is not avai...
Alireza Ghaderipoor, Chintha Tellambura
ICML
2007
IEEE
14 years 9 months ago
Feature selection in a kernel space
We address the problem of feature selection in a kernel space to select the most discriminative and informative features for classification and data analysis. This is a difficult ...
Bin Cao, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng...
IWANN
2009
Springer
14 years 3 months ago
A Genetic Algorithm for ANN Design, Training and Simplification
This paper proposes a new evolutionary method for generating ANNs. In this method, a simple real-number string is used to codify both architecture and weights of the networks. Ther...
Daniel Rivero, Julian Dorado, Enrique Ferná...