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Learning with Submodular Functions: A Convex Optimization Perspective - Foundations and Trends (R) in Machine Learning Francis Bach
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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
| Media | Böcker Pocketbok (Bok med mjukt omslag och limmad rygg) |
| Releasedatum | 4 december 2013 |
| ISBN13 | 9781601987563 |
| Utgivare | now publishers Inc |
| Antal sidor | 258 |
| Mått | 156 × 234 × 14 mm · 367 g |
| Språk | Engelska |
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