
A Convex Surrogate Operator for General Non-Modular Loss Functions
Author(s) -
Jiaqian Yu,
Matthew B. Blaschko
Publication year - 2016
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - modular design , operator (biology) , regular polygon , computer science , mathematics , mathematical optimization , geometry , programming language , repressor , transcription factor , gene , biochemistry , chemistry