Measuring the Stability of Feature Selection with Applications to Ensemble Methods

Abstract

Ensemble methods are often used to decide on a good selection of features for later processing by a classifier. Examples of this are in the determination of Random Forest variable importance proposed by Breiman, and in the concept of feature selection ensembles, where the outputs of multiple feature selectors are combined to yield more robust results. All… (More)
DOI: 10.1007/978-3-319-20248-8_12

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Cite this paper

@inproceedings{Nogueira2015MeasuringTS, title={Measuring the Stability of Feature Selection with Applications to Ensemble Methods}, author={Sarah Nogueira and Gavin Brown}, booktitle={MCS}, year={2015} }