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Ranking and combining multiple predictors without labeled data
In a broad range of classification and decision-making problems, one is given the advice or predictions of several classifiers, of unknown reliability, over multiple questions or queries. This scenario is different from the standard supervised setting, where each classifier’s accuracy can be assesse...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3910607/ https://ncbi.nlm.nih.gov/pubmed/24474744 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1219097111 |
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