| Algorithms for Sparsity-Constrained Optimization Softcover Repri Edition Contributor(s): Bahmani, Sohail (Author) |
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ISBN: 3319377191 ISBN-13: 9783319377193 Publisher: Springer OUR PRICE: $161.49 Product Type: Paperback - Other Formats Published: August 2016 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Electronics - General - Mathematics | Applied - Computers | Computer Graphics |
| Dewey: 004.015 |
| Series: Springer Theses |
| Physical Information: 0.28" H x 6.14" W x 9.21" (0.43 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. |