Learning with Submodular Functions: A Convex Optimization Perspective

by Francis Bach

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 regularization functions for supervised and unsupervised learning. In Learning with Submodular Functions: A Convex Optimization Perspective, the theory of submodular functions is presented in a self-contained...

• Format: Paperback
• Language: English
• ISBN: 1601987560
• ISBN13: 9781601987563
• Release Date: November 2013
• Publisher: Now Publishers
• Length: 258 Pages
• Weight: 0.81 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"