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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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Bibliografiske detaljer
Main Authors: Liu, Jie, Peissig, Peggy, Zhang, Chunming, Burnside, Elizabeth, McCarty, Catherine, Page, David
Format: Artigo
Sprog:Inglês
Udgivet: 2012
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3630518/
https://ncbi.nlm.nih.gov/pubmed/23606924
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