Algorithms for Sparsity-Constrained Optimization |
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| Author:
| Bahmani, Sohail |
| Series title: | Springer Theses Ser. |
| ISBN: | 978-3-319-37719-3 |
| Publication Date: | Aug 2016 |
| Publisher: | Springer International Publishing AG
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| Imprint: | Springer |
| Book Format: | Paperback |
| List Price: | USD $139.99USD $169.99 |
Book Description:
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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.
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.