Améliorer un groupe de sources crédibilistes avec des corrections contextuelles
In this paper, we study the interest of learning a group of evidential sources using contextual corrections, which amounts to optimizing a conjunctive combination rather than optimizing each source individually. Several experiments on synthetic and real UCI data show the interest of the approach.
