Authors | E. De Vito, Z. Kereta and V. Naumova |
Title | A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net |
Afilliation | Machine Learning |
Project(s) | FunDaHD: Function-driven Data Learning in High Dimension |
Status | Submitted |
Publication Type | Journal Article |
Year of Publication | 2018 |
Journal | arXiv |
Date Published | 09/2018 |
Publisher | arXiv |
Citation Key | 26315 |