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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Detalles Bibliográficos
Autores principales: Keith, Jonathan M, Davey, Christian M, Boyd, Sarah E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Methodology Article
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

Internet

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

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