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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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Main Authors: Liu, Jie, Peissig, Peggy, Zhang, Chunming, Burnside, Elizabeth, McCarty, Catherine, Page, David
格式: Artigo
語言:Inglês
出版: 2012
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC3630518/
https://ncbi.nlm.nih.gov/pubmed/23606924
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