Abstract. For a number of problems, such as ontology learning or image labeling, we need to handle uncertainty and inconsistencies in an appropriate way. Fuzzy and Probabilistic De...
Stefan Scheglmann, Carsten Saathoff, Steffen Staab
As systems become more and more complex the use of automation tools becomes more important. Although automation is introduced to reduce human workload, improve situational awarene...
For complex systems that are reusing intellectual property components, functional and compositional design correctness are an important part of the design process. Common system l...
Hamoudi Kalla, Jean-Pierre Talpin, David Berner, L...
The typical approach to finding minimum levels of resources that still allow support and operational performance goals to be met for military aircraft is based on a manual trial-a...
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...