| Algorithms for Sparsity-Constrained Optimization 2014 Edition Contributor(s): Bahmani, Sohail (Author) |
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ISBN: 3319018809 ISBN-13: 9783319018805 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: October 2013 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Electronics - General - Mathematics | Applied - Computers | Computer Graphics |
| Dewey: 004.015 |
| Series: Springer Theses |
| Physical Information: 0.5" H x 6.2" W x 9.2" (0.85 lbs) 107 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |