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An Adaptive Moment estimation method for online AUC maximization
Area Under the ROC Curve (AUC) is a widely used metric for measuring classification performance. It has important theoretical and academic values to develop AUC maximization algorithms. Traditional methods often apply batch learning algorithm to maximize AUC which is inefficient and unscalable for l...
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| I publikationen: | PLoS One |
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| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Public Library of Science
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6478373/ https://ncbi.nlm.nih.gov/pubmed/31013283 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0215426 |
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