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Strangeness Minimisation Feature Selection with Confidence Machines.
- Source :
- Intelligent Data Engineering & Automated Learning - IDEAL 2006; 2006, p978-985, 8p
- Publication Year :
- 2006
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540454854
- Database :
- Complementary Index
- Journal :
- Intelligent Data Engineering & Automated Learning - IDEAL 2006
- Publication Type :
- Book
- Accession number :
- 32914246
- Full Text :
- https://doi.org/10.1007/11875581_117