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Learning with Submodular Functions: A Convex Optimization Perspective - Foundations and Trends (R) in Machine Learning Francis Bach
Learning with Submodular Functions: A Convex Optimization Perspective - Foundations and Trends (R) in Machine Learning
Francis Bach
Presents the theory of submodular functions in a self-contained way from a convex analysis perspective, presenting tight links between certain polyhedra, combinatorial optimization and convex optimization problems. In particular, it describes how submodular function minimization is equivalent to solving a variety of convex optimization problems.
258 pages
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2013. gada 4. decembris |
| ISBN13 | 9781601987563 |
| Izdevēji | now publishers Inc |
| Lapas | 258 |
| Izmēri | 156 × 234 × 14 mm · 367 g |
| Valoda | Angļu |
