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Boosting for high-dimensional two-class prediction
BACKGROUND: In clinical research prediction models are used to accurately predict the outcome of the patients based on some of their characteristics. For high-dimensional prediction models (the number of variables greatly exceeds the number of samples) the choice of an appropriate classifier is cruc...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4578758/ https://www.ncbi.nlm.nih.gov/pubmed/26390865 http://dx.doi.org/10.1186/s12859-015-0723-9 |