Multi-task sparse structure learning with gaussian copula models
Published in JMLR, 2016
Authors: AR Goncalves, FJ Von Zuben
This paper presents a novel family of models for MTL, applicable to regression and classification problems, capable of learning the structure of tasks relationship via Copula distributions.