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» Optimal feature selection for support vector machines
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PR
2006
229views more  PR 2006»
13 years 6 months ago
FS_SFS: A novel feature selection method for support vector machines
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
Yi Liu, Yuan F. Zheng
IWANN
2009
Springer
14 years 25 days ago
Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
ICPR
2006
IEEE
14 years 7 months ago
Feature selection for linear support vector machines
Feature selection is attracted much interest from researchers in many fields such as pattern recognition and data mining. In this paper, a novel algorithm for feature selection is...
Zhizheng Liang, Tuo Zhao
ICASSP
2008
IEEE
14 years 22 days ago
Hybrid feature selection for gesture recognition using support vector machines
This paper presents an approach for a multi-cue based two-dimensional gesture recognition that combines two different forms of cues, namely shape cues and motion cues, in a suppor...
Yu Yuan, Kenneth Barner
ICTAI
2003
IEEE
13 years 11 months ago
Feature Selection for Support Vector Machines by Means of Genetic Algorithms
Holger Fröhlich, Olivier Chapelle, Bernhard S...