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On optimal Bayesian classification and risk estimation under multiple classes
A recently proposed optimal Bayesian classification paradigm addresses optimal error rate analysis for small-sample discrimination, including optimal classifiers, optimal error estimators, and error estimation analysis tools with respect to the probability of misclassification under binary classes....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619473/ https://www.ncbi.nlm.nih.gov/pubmed/26523135 http://dx.doi.org/10.1186/s13637-015-0028-3 |