Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
The motivation for this project was to find a way to give engineers, and the community affected by Civil Engineering work, information that is often difficult to visualise via com...
Mauricio Capra, Marcio Aquino, Alan Dodson, Borian...
This paper introduces a real rational module framework in the context of Prediction Error Identification using Box-Jenkins model structures. This module framework, which can easily...
Tzvetan Ivanov, Pierre-Antoine Absil, Brian D. O. ...
One of the major challenges in computer vision is to create automated systems that perform tasks with at least the same competences as human experts. In particular for automated i...
Nicole J. J. P. Koenderink, Jan L. Top, Lucas J. v...
Model-Driven Engineering (MDE) has been advocated as an effective way to deal with today's software complexity. MDE can be seen as an integrative approach combining existing ...