Learning with Submodular Functions: A Convex Optimization Perspective - Foundations and Trends (R) in Machine Learning - Francis Bach - Books - now publishers Inc - 9781601987563 - December 4, 2013
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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

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 Books     Paperback Book   (Book with soft cover and glued back)
Released December 4, 2013
ISBN13 9781601987563
Publishers now publishers Inc
Pages 258
Dimensions 156 × 234 × 14 mm   ·   367 g
Language English  
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