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High-Dimensional Structured Feature Screening Using Binary Markov Random Fields

Feature screening is a useful feature selection approach for high-dimensional data when the goal is to identify all the features relevant to the response variable. However, common feature screening methods do not take into account the correlation structure of the covariate space. We propose the conc...

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Hlavní autoři: Liu, Jie, Peissig, Peggy, Zhang, Chunming, Burnside, Elizabeth, McCarty, Catherine, Page, David
Médium: Artigo
Jazyk:Inglês
Vydáno: 2012
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3630518/
https://ncbi.nlm.nih.gov/pubmed/23606924
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