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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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2018-03-01
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| coleção: | Entropy |
| Assuntos: | |
| Acesso em linha: | http://www.mdpi.com/1099-4300/20/3/208 |
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