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Date: 2011
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/168696
Description: The lasso algorithm for variable selection in linear models, introduced by Tibshirani, works by imposing an $l_1$~norm bound constraint on the variables in a least squares model and then tuning the mo ... More
Reviewed: Reviewed
Date: 2004
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/1096392
Reviewed: Reviewed
Date: 2004
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/1101701
Description: 11 page(s)
Reviewed: Reviewed
Date: 2003
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/1175346
Description: 24 page(s)
Reviewed: Reviewed
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