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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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書目詳細資料
發表在:Pattern Recognit
Main Authors: Wang, Shijun, Li, Diana, Petrick, Nicholas, Sahiner, Berkman, Linguraru, Marius George, Summers, Ronald M.
格式: Artigo
語言:Inglês
出版: 2014
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在線閱讀: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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