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Cross-study validation for the assessment of prediction algorithms
Motivation: Numerous competing algorithms for prediction in high-dimensional settings have been developed in the statistical and machine-learning literature. Learning algorithms and the prediction models they generate are typically evaluated on the basis of cross-validation error estimates in a few...
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| Main Authors: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4058929/ https://ncbi.nlm.nih.gov/pubmed/24931973 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu279 |
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