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High-Dimensional Statistical Learning: Roots, Justifications, and Potential Machineries
High-dimensional data generally refer to data in which the number of variables is larger than the sample size. Analyzing such datasets poses great challenges for classical statistical learning because the finite-sample performance of methods developed within classical statistical learning does not l...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Libertas Academica
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4830639/ https://www.ncbi.nlm.nih.gov/pubmed/27081307 http://dx.doi.org/10.4137/CIN.S30804 |