AuthorsE. De Vito, Z. Kereta and V. Naumova
TitleA Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net
AfilliationMachine Learning
Project(s)FunDaHD: Function-driven Data Learning in High Dimension
StatusSubmitted
Publication TypeJournal Article
Year of Publication2018
JournalarXiv
Date Published09/2018
PublisherarXiv
Citation Key26315

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