While usual approaches try to minimize the number of errors, medical scenarios often require classifiers that face up with different types of costs. This paper ...
Medical applications, such as medical diagnosis, can be understood as classification problems. While usual ap- proaches try to minimize the number of errors ...
It has been shown that these divergence measures can be used to estimate posterior probabilities with maximal accuracy for the probability values that are close ...
a cost-sensitive learning practitioner comes across when starting in cost-sensitive learning are related to classification tasks in medical diagnosis. It is ...
Bibliographic details on Cost-Sensitive Classification Based on Bregman Divergences for Medical Diagnosis.
This paper analyzes the application of a particular class of Bregman divergences to design cost-sensitive classifiers for multiclass problems.
Cost-sensitive classification based on Bregman divergences for medical diagnosis ; ISBN · 9780769539263 ; Year of publication · 2009 ; Pages · 551-556 ; Type ...
Cost-sensitive classification based on Bregman divergences ...
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2014, Annual Meeting of the Association for Computational Linguistics. Cost-Sensitive Classification Based on Bregman Divergences for Medical Diagnosis. Raúl ...
Cost-Sensitive Classification Based on Bregman Divergences for Medical Diagnosis. Santos-Rodríguez R., García-García D., Cid-Sueiro J.
Further analysis shows that the optimization of this Bregman divergence becomes equivalent to minimizing the overall cost regret in non-separable problems, and ...
Missing: Medical Diagnosis.