The ordered weighted averaging (OWA) operator is a widely used aggregation method, and its determination is usually a prerequisite step in many related applications. The regular i...
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
This paper applied “Sandglass” machine translation architecture to the task of translating Japanese functional expressions into English. We employ the semantic equivalence cla...
Multiprocessor scheduling problems are hard because of the numerous constraints on valid schedules to take into account. This paper presents new schedule representations in order ...
Matthieu Lemerre, Vincent David, Christophe Aussag...