300 search results - page 13 / 60 » A genetic algorithm-based method for feature subset selectio... |
PR
2006
14 years 11 months ago
2006
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
ECIR
2011
Springer
14 years 3 months ago
2011
Springer
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 ...
CORR
2007
Springer
14 years 11 months ago
2007
Springer
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...
110
click to vote
AUSDM
2007
Springer
15 years 5 months ago
2007
Springer
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...
93
Voted
CSDA
2008
14 years 11 months ago
2008
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...