In two-class problems, the combination of the outputs (scores) of an ensemble of classifiers is widely used to attain high performance. Dynamic combination techniques that estimate the combination parameters on a pattern per pattern basis, usually provide better performance than those of static combination techniques. In this paper, we propose...
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2010 (v1)PublicationUploaded on: April 14, 2023
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2010 (v1)Publication
In two-class problems, the linear combination of the outputs (scores) of an ensemble of classifiers is widely used to attain high performance. In this paper we investigate some techniques aimed at dynamically estimate the coefficients of the linear combination on a pattern per pattern basis. We will show that such a technique allows providing...
Uploaded on: January 31, 2024