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A selective overview of feature screening for ultrahigh-dimensional data
High-dimensional data have frequently been collected in many scientific areas including genomewide association study, biomedical imaging, tomography, tumor classifications, and finance. Analysis of high-dimensional data poses many challenges for statisticians. Feature selection and variable selectio...
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| Publicado no: | Sci China Math |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4711389/ https://ncbi.nlm.nih.gov/pubmed/26779257 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11425-015-5062-9 |
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