Methods for Large-scale Convex Optimization Problems with L1 Regularization
Download or Read eBook Methods for Large-scale Convex Optimization Problems with L1 Regularization PDF written by Kwangmoo Koh and published by . This book was released on 2008 with total page 238 pages. Available in PDF, EPUB and Kindle.
| Author | : Kwangmoo Koh |
| Publisher | : |
| Total Pages | : 238 |
| Release | : 2008 |
| ISBN-10 | : 0549989706 |
| ISBN-13 | : 9780549989707 |
| Rating | : 4/5 (06 Downloads) |
Book Synopsis Methods for Large-scale Convex Optimization Problems with L1 Regularization by : Kwangmoo Koh
Book excerpt: Much of recent research in signal processing, statistics, and many other fields has focused on ℓ1 regularization based methods for feature selection, sparse signal reconstruction. In this thesis we study optimization problems with ℓ1 regularization, and efficient methods to solve them.
