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The Bregman method is an iterative algorithm to solve certain convex optimization problems involving regularization. The original version is due to Lev M. Bregman, who published it in 1967.
Applications, Generalizations and drawbacks & Algorithm
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Bregman method | is a | iterative algorithm to solve certain convex optimization problems involving regularization | 0.90 | text |
| the ℓ 1 | instance of | The algorithm works particularly well for regularizers | 0.80 | text |
| ℓ 1 | instance of | is a regularizing function | 0.80 | text |
| proximal gradient methods have been developed | instance of | additional methods | 0.80 | text |
| Bregman method | has application | The Bregman | 0.60 | section |
| Bregman method | has application | Image | 0.60 | section |
| Bregman method | has application | MR | 0.60 | section |
| Bregman method | has application | Matrix | 0.60 | section |
| Bregman method | related to Algorithm | In | 0.60 | section |
| Bregman method | related to Algorithm | Bregman | 0.60 | section |
| Bregman method | related to Algorithm | The Bregman | 0.60 | section |
| Bregman method | related to Algorithm | One | 0.60 | section |
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