Algorithms for Sparsity-Constrained Optimization
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This thesis presents a wholly new technique in the structural analysis of data that uses a `greedy' algorithm to derive optimal sparse solutions, enabling faster and more accurate results in formerly problematic areas of machine learning and signal processing.
| Autor: | Bahmani, Sohail |
| Nakladatel: | Springer International Publishing AG |
| ISBN: | 9783319018805 |
| Rok vydání: | 2013 |
| Jazyk : | Angličtina |
| Vazba: | Hardback |
| Počet stran: | 107 |
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