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Robust penalized logistic regression with truncated loss functions
The penalized logistic regression (PLR) is a powerful statistical tool for classification. It has been commonly used in many practical problems. Despite its success, since the loss function of the PLR is unbounded, resulting classifiers can be sensitive to outliers. To build more robust classifiers,...
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| Main Authors: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2011
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3233197/ https://ncbi.nlm.nih.gov/pubmed/22162902 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cjs.10105 |
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