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High-dimensional bolstered error estimation
Motivation: In small-sample settings, bolstered error estimation has been shown to perform better than cross-validation and competitively with bootstrap with regard to various criteria. The key issue for bolstering performance is the variance setting for the bolstering kernel. Heretofore, this varia...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2011
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3198579/ https://ncbi.nlm.nih.gov/pubmed/21914630 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btr518 |
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