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Optimization with Sparsity-Inducing Penalties - Foundations and Trends® in Machine Learning Francis Bach
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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2012. gada 4. janvāris |
| ISBN13 | 9781601985101 |
| Izdevēji | now publishers Inc |
| Lapas | 124 |
| Izmēri | 156 × 234 × 7 mm · 185 g |
| Valoda | Angļu |
