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Algorithms for Sparsity-Constrained Optimization - Springer Theses 2014 edition
Sohail Bahmani
Algorithms for Sparsity-Constrained Optimization - Springer Theses 2014 edition
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
Mídia | Livros Hardcover Book (Livro com lombada e capa dura) |
Lançado | 18 de outubro de 2013 |
ISBN13 | 9783319018805 |
Editoras | Springer International Publishing AG |
Páginas | 107 |
Dimensões | 241 × 166 × 15 mm · 385 g |
Idioma | English |
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