Strangeness minimisation feature selection with confidence machines

Authors:
Tony Bellotti;Zhiyuan Luo;Alex Gammerman
Affiliations:
Computer Learning Research Centre, Royal Holloway, University of London, Egham, Surrey, UK;Computer Learning Research Centre, Royal Holloway, University of London, Egham, Surrey, UK;Computer Learning Research Centre, Royal Holloway, University of London, Egham, Surrey, UK
Venue:
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Year:
2006

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Abstract

In this paper, we focus on the problem of feature selection with confidence machines (CM). CM allows us to make predictions within predefined confidence levels, thus providing a controlled and calibrated classification environment. We present a new feature selection method, namely Strangeness Minimisation Feature Selection, designed for CM. We apply this feature selection method to the problem of microarray classification and demonstrate its effectiveness.