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Optimization with Sparsity-Inducing Penalties - Foundations and Trends® in Machine Learning Francis Bach
Optimization with Sparsity-Inducing Penalties - Foundations and Trends® in Machine Learning
Francis Bach
Presents optimization tools and techniques dedicated to sparsity-inducing penalties from a general perspective. The book covers proximal methods, block-coordinate descent, working-set and homotopy methods, and non-convex formulations and extensions, and provides a set of experiments to compare algorithms from a computational point of view.
124 pages
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2012年1月4日 |
| ISBN13 | 9781601985101 |
| 出版社 | now publishers Inc |
| ページ数 | 124 |
| 寸法 | 156 × 234 × 7 mm · 185 g |
| 言語 | 英語 |
