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Algorithms for Sparsity-Constrained Optimization - Springer Theses Sohail Bahmani Softcover reprint of the original 1st ed. 2014 edition
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Algorithms for Sparsity-Constrained Optimization - Springer Theses
Sohail Bahmani
This thesis demonstrates techniques that provide faster and more accurate solutions to a variety of problems in machine learning and signal processing. The author proposes a "greedy" algorithm, deriving sparse solutions with guarantees of optimality.
128 pages, 1 black & white illustrations, 12 colour illustrations, 2 colour tables, biography
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 23 août 2016 |
| ISBN13 | 9783319377193 |
| Éditeurs | Springer International Publishing AG |
| Pages | 107 |
| Dimensions | 155 × 235 × 7 mm · 195 g |
| Langue et grammaire | Allemand |
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