Algorithms for Sparsity-Constrained Optimization
Download or Read eBook Algorithms for Sparsity-Constrained Optimization PDF written by Sohail Bahmani and published by Springer Science & Business Media. This book was released on 2013-10-07 with total page 124 pages. Available in PDF, EPUB and Kindle.
| Author | : Sohail Bahmani |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 124 |
| Release | : 2013-10-07 |
| ISBN-10 | : 9783319018812 |
| ISBN-13 | : 3319018817 |
| Rating | : 4/5 (12 Downloads) |
Book Synopsis Algorithms for Sparsity-Constrained Optimization by : Sohail Bahmani
Book excerpt: 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. The use of this algorithm removes many of the inaccuracies that occurred with the use of previous models.
