Theoretical and Experimental Study of a Meta-Typicalness Approach for Reliable Classification

Authors:
E. N. Smirnov;A. Kaptein
Affiliations:
MICC-IKAT, Maastricht University, Netherlands;Accenture, Netherlands
Venue:
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Year:
2006

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Abstract

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.