Learning with Submodular Functions: A Convex Optimization Perspective by Francis Bach

Learning with Submodular Functions: A Convex Optimization Perspective

Foundations and Trends(r) in Machine Learning

Francis Bach

258 pages • missing pub info (editions)

nonfiction computer science science informative medium-paced
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Submodular functions are relevant to machine learning for at least two reasons: (1) some problems may be expressed directly as the optimization of submodular functions, and (2) the Lov sz extension of submodular functions provides a useful set of ...

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