This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
Carla Scalarin, Jacques Masse, Jean-Marc Boucher, ...
Information system models commonly describe organizations in terms of the structure of the data they use, the organization of the processes they perform and the operations that wil...
The aim of this project was the development of a user-friendly software package for physicians that can be used as an advisor in vessel surgery and as a training tool for medical ...
Christian Almeder, Felix Breitenecker, Siegfried W...
The feedback from architectural decisions to the elaboration of requirements is an established concept in the software engineering community. However, pinpointing the nature of thi...
Thomas Heyman, Koen Yskout, Riccardo Scandariato, ...
Partially Observable Markov Decision Processes (POMDPs) provide an appropriately rich model for agents operating under partial knowledge of the environment. Since finding an opti...
Yan Virin, Guy Shani, Solomon Eyal Shimony, Ronen ...