Učitavanje...
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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| Izdano u: | J Am Stat Assoc |
|---|---|
| Glavni autori: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2016
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| Teme: | |
| Online pristup: | 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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