Stability of feature selection algorithms: a study on high-dimensional spaces

Abstract

With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive work on the stability of learning algorithms, the stability of feature selection algorithms has been relatively neglected. This study is an attempt to fill that gap by quantifying… (More)
DOI: 10.1007/s10115-006-0040-8

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@article{Kalousis2006StabilityOF, title={Stability of feature selection algorithms: a study on high-dimensional spaces}, author={Alexandros Kalousis and Julien Prados and Melanie Hilario}, journal={Knowledge and Information Systems}, year={2006}, volume={12}, pages={95-116} }