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PR
2006
229views more  PR 2006»
14 years 9 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
ECIR
2011
Springer
14 years 1 months ago
Combination of Feature Selection Methods for Text Categorisation
Feature selection plays a vital role in text categorisation. A range of different methods have been developed, each having unique properties and selecting different features. We ...
Robert Neumayer, Rudolf Mayer, Kjetil Nørv&...
CORR
2007
Springer
95views Education» more  CORR 2007»
14 years 9 months ago
Resampling methods for parameter-free and robust feature selection with mutual information
Combining the mutual information criterion with a forward feature selection strategy offers a good trade-off between optimality of the selected feature subset and computation time...
Damien François, Fabrice Rossi, Vincent Wer...
AUSDM
2007
Springer
173views Data Mining» more  AUSDM 2007»
15 years 3 months ago
The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
Ellen Pitt, Richi Nayak
80
Voted
CSDA
2008
126views more  CSDA 2008»
14 years 9 months ago
A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
Christelle Reynès, Robert Sabatier, Nicolas...