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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Detalles Bibliográficos
Autores principales: Ramos, Daniel, Franco-Pedroso, Javier, Lozano-Diez, Alicia, Gonzalez-Rodriguez, Joaquin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512723/
https://www.ncbi.nlm.nih.gov/pubmed/33265299
http://dx.doi.org/10.3390/e20030208

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512723/
https://www.ncbi.nlm.nih.gov/pubmed/33265299
http://dx.doi.org/10.3390/e20030208

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