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Deconstructing Cross-Entropy for Probabilistic Binary Classifiers

In this work, we analyze the cross-entropy function, widely used in classifiers both as a performance measure and as an optimization objective. We contextualize cross-entropy in the light of Bayesian decision theory, the formal probabilistic framework for making decisions, and we thoroughly analyze...

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Detalhes bibliográficos
Publicado no:Entropy (Basel)
Main Authors: Ramos, Daniel, Franco-Pedroso, Javier, Lozano-Diez, Alicia, Gonzalez-Rodriguez, Joaquin
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7512723/
https://ncbi.nlm.nih.gov/pubmed/33265299
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20030208
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