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Optimizing area under the ROC curve using semi-supervised learning
Receiver operating characteristic (ROC) analysis is a standard methodology to evaluate the performance of a binary classification system. The area under the ROC curve (AUC) is a performance metric that summarizes how well a classifier separates two classes. Traditional AUC optimization techniques ar...
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| Publicado no: | Pattern Recognit |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4226543/ https://ncbi.nlm.nih.gov/pubmed/25395692 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patcog.2014.07.025 |
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