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Learning with submodular functions: a convex optimization perspective
Learning with Submodular Functions 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.
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Lenguaje: | eng |
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Now Publishers
2013
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Acceso en línea: | http://cds.cern.ch/record/2762143 |