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.
| Author: Sohail Bahmani |
| Publisher: Springer |
| Publication Date: Oct 18, 2013 |
| Number of Pages: 107 pages |
| Binding: Hardback or Cased Book |
| ISBN-10: 3319018809 |
| ISBN-13: 9783319018805 |
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