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A Bayesian method for comparing and combining binary classifiers in the absence of a gold standard
BACKGROUND: Many problems in bioinformatics involve classification based on features such as sequence, structure or morphology. Given multiple classifiers, two crucial questions arise: how does their performance compare, and how can they best be combined to produce a better classifier? A classifier...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2012
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3473310/ https://ncbi.nlm.nih.gov/pubmed/22838505 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-13-179 |
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