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Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)
Theoretical and Experimental Study of a Meta-Typicalness Approach for Reliable Classification
Hong Kong, China
December 18-December 22
ISBN: 0-7695-2702-7
E.N. Smirnov, MICC-IKAT, Maastricht University, Netherlands
A. Kaptein, Accenture, Netherlands
We propose a meta-typicalness approach to apply the typicalness framework for any type of classifiers1. The approach can be used to construct classifiers with specified classification performance. Experiments show that the approach results in classifiers that can outperform an existing typicalness-based classifier.
Citation:
E.N. Smirnov, A. Kaptein, "Theoretical and Experimental Study of a Meta-Typicalness Approach for Reliable Classification," icdmw, pp.739-743, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006
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