Feature Selection and Classification - A Probabilistic Wrapper Approach

Abstract

Feature selection is de ned as a problem to nd a minimum set of M features for an inductive al gorithm to achieve the highest predictive accuracy from the data described by the original N features where M N A probabilistic wrapper model is proposed as another method besides the exhaus tive search and the heuristic approach The aim of this model is to avoid… (More)

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Cite this paper

@inproceedings{Liu1996FeatureSA, title={Feature Selection and Classification - A Probabilistic Wrapper Approach}, author={Huan Liu and Rudy Setiono}, booktitle={IEA/AIE}, year={1996} }