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Unbiased bootstrap error estimation for linear discriminant analysis

Convex bootstrap error estimation is a popular tool for classifier error estimation in gene expression studies. A basic question is how to determine the weight for the convex combination between the basic bootstrap estimator and the resubstitution estimator such that the resulting estimator is unbia...

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Publicat a:EURASIP J Bioinform Syst Biol
Autors principals: Vu, Thang, Sima, Chao, Braga-Neto, Ulisses M, Dougherty, Edward R
Format: Artigo
Idioma:Inglês
Publicat: Springer International Publishing 2014
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5270504/
https://ncbi.nlm.nih.gov/pubmed/28194165
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13637-014-0015-0
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