Comparison theorems on large-margin learning

Amina Benabid, Jun Fan, Dao-Hong Xiang

Abstract: This paper studies the binary classification problem associated with a family of Lipschitz convex loss functions called large-margin unified machines (LUMs), which offers a natural bridge between d...