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Algorithms for Sparsity-Constrained Optimization - Springer Theses Sohail Bahmani 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
| Medij | Knjige Hardcover Book (Knjiga s trdim hrbtom in platnicami) |
| Izdano | 18. oktobra 2013 |
| ISBN13 | 9783319018805 |
| Založniki | Springer International Publishing AG |
| Strani | 107 |
| Dimenzije | 241 × 166 × 15 mm · 385 g |
| Jezik | Angleščina |
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