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Fractional ridge regression: a fast, interpretable reparameterization of ridge regression

BACKGROUND: Ridge regression is a regularization technique that penalizes the L2-norm of the coefficients in linear regression. One of the challenges of using ridge regression is the need to set a hyperparameter (α) that controls the amount of regularization. Cross-validation is typically used to se...

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Detalles Bibliográficos
Autores principales: Rokem, Ariel, Kay, Kendrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7702219/
https://www.ncbi.nlm.nih.gov/pubmed/33252656
http://dx.doi.org/10.1093/gigascience/giaa133