Proceedings of the 2003 International Conference on Machine Learning and Cybernetics
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Abstract

In this paper, we reformulate the use of a data domain description method, inspired by the fuzzy support vector machine (SVM) by Lin, called the fuzzy data domain description. This data description is suitable for applications in which each input point may not be fully assigned to one class. In this method, different input data can make different contributions to the domain description.
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