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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: 2002
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/7968
Description: This paper is concerned with the implementation and testing of an algorithm for solving constrained least-squares problems. The algorithm is an adaptation to the least-squares case of sequential quadr ... More
Reviewed: Reviewed
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