Safe Feature Screening for Generalized LASSO
Solving Generalized LASSO (GL) problems is challenging, particularly when analyzing many features with a complex interacting structure. Recent developments have found effective ways to identify inactive features so that they can be removed or aggregated to reduce the problem size before applying opt...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 40(2018), 12 vom: 14. Dez., Seite 2992-3006
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| Auteur principal: |
Ren, Shaogang
(Auteur) |
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| Autres auteurs: |
Huang, Shuai,
Ye, Jieping,
Qian, Xiaoning |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2018
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |
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