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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
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 23 de agosto de 2016 |
| ISBN13 | 9783319377193 |
| Editores | Springer International Publishing AG |
| Páginas | 107 |
| Dimensiones | 155 × 235 × 7 mm · 195 g |
| Lengua | Alemán |
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