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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3473310/ https://www.ncbi.nlm.nih.gov/pubmed/22838505 http://dx.doi.org/10.1186/1471-2105-13-179 |