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Penalized Bregman divergence for large-dimensional regression and classification

Regularization methods are characterized by loss functions measuring data fits and penalty terms constraining model parameters. The commonly used quadratic loss is not suitable for classification with binary responses, whereas the loglikelihood function is not readily applicable to models where the...

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Detalhes bibliográficos
Main Authors: Zhang, Chunming, Jiang, Yuan, Chai, Yi
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2010
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3372245/
https://ncbi.nlm.nih.gov/pubmed/22822248
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asq033
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