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Regularized Modal Regression with Applications in Cognitive Impairment Prediction

Linear regression models have been successfully used to function estimation and model selection in high-dimensional data analysis. However, most existing methods are built on least squares with the mean square error (MSE) criterion, which are sensitive to outliers and their performance may be degrad...

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Bibliographische Detailangaben
Veröffentlicht in:Adv Neural Inf Process Syst
Hauptverfasser: Wang, Xiaoqian, Chen, Hong, Cai, Weidong, Shen, Dinggang, Huang, Heng
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2017
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5895184/
https://ncbi.nlm.nih.gov/pubmed/29657513
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