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Regularization Paths for Generalized Linear Models via Coordinate Descent

We develop fast algorithms for estimation of generalized linear models with convex penalties. The models include linear regression, two-class logistic regression, and multinomial regression problems while the penalties include ℓ(1) (the lasso), ℓ(2) (ridge regression) and mixtures of the two (the el...

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Bibliografische gegevens
Hoofdauteurs: Friedman, Jerome, Hastie, Trevor, Tibshirani, Rob
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2010
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2929880/
https://ncbi.nlm.nih.gov/pubmed/20808728
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