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Bias correction for selecting the minimal-error classifier from many machine learning models
Motivation: Supervised machine learning is commonly applied in genomic research to construct a classifier from the training data that is generalizable to predict independent testing data. When test datasets are not available, cross-validation is commonly used to estimate the error rate. Many machine...
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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2014
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4221122/ https://ncbi.nlm.nih.gov/pubmed/25086004 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu520 |
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