It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...
In order to accurately cost the new product manufacture, and to assess a `what if' scenario in a rapid manner, requires an information system which can integrate the process ...
UML is posited as the "swiss army knife" for systems modelling and design activities. It embodies a number of modelling formalisms that have broad applicability in captu...
Nick Russell, Wil M. P. van der Aalst, Arthur H. M...