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Feature Augmentation via Nonparametrics and Selection (FANS) in High-Dimensional Classification

We propose a high dimensional classification method that involves nonparametric feature augmentation. Knowing that marginal density ratios are the most powerful univariate classifiers, we use the ratio estimates to transform the original feature measurements. Subsequently, penalized logistic regress...

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Detaylı Bibliyografya
Yayımlandı:J Am Stat Assoc
Asıl Yazarlar: Fan, Jianqing, Feng, Yang, Jiang, Jiancheng, Tong, Xin
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2016
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC4866821/
https://ncbi.nlm.nih.gov/pubmed/27185970
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2015.1005212
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