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
In case cover and title do not match, the title is correct

Francis Bach
Learning with Submodular Functions: A Convex Optimization Perspective - Foundations and Trends (R) in Machine Learning

Get an email once the item is available
Do you have a profile? Log in
Christmas presents can be returned until 31 January

Our customers say:

14-day return policy in accordance with European consumer protection law
Top ranking on Trustpilot
Add to your iMusic wish list

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  

More by Francis Bach

Show all

See all of Francis Bach ( e.g. Paperback Book and Hardcover Book )