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Cross-validation under separate sampling: strong bias and how to correct it

Motivation: It is commonly assumed in pattern recognition that cross-validation error estimation is ‘almost unbiased’ as long as the number of folds is not too small. While this is true for random sampling, it is not true with separate sampling, where the populations are independently sampled, which...

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Bibliografski detalji
Izdano u:Bioinformatics
Glavni autori: Braga-Neto, Ulisses M., Zollanvari, Amin, Dougherty, Edward R.
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2014
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4296143/
https://ncbi.nlm.nih.gov/pubmed/25123902
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu527
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