The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data. Selecting features h...
Michel Verleysen, Fabrice Rossi, Damien Fran&ccedi...
In this case study, we describe a method that has potential to provide systematic support for public health information management. Public health agencies depend on specialized in...
The success of information supply strongly depends on successful user adoption. This especially is the case for the integration of non-human information sources deriving from ubiqu...
We consider a networked control system, where each subsystem evolves as a Markov decision process (MDP). Each subsystem is coupled to its neighbors via communication links over wh...
We provide a robust and detailed annotation scheme for information status, which is easy to use, follows a semantic rather than cognitive motivation, and achieves reasonable inter...