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Cost-sensitive learning based on Bregman divergences
Raúl Santos-Rodríguez
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This paper analyzes the application of a particular class of Bregman divergences to design cost-sensitive classifiers for multiclass problems. We show that these divergence measures can be used to estimate posterior probabilities with maximal accuracy for the probability values that are close to the ...
Leto: 2009 Vir: videolectures.net
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