Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Complex information systems have numerous design variables that are systematically decided upon during the design process. In high-variability systems, some of these decisions are...
With tracking setups becoming increasingly complex, it gets more difficult to find suitable algorithms for tracking, calibration and sensor fusion. A large number of solutions e...
Daniel Pustka, Martin Huber, Manuel Bauer, Gudrun ...
Collaborative object-based graphical editors offer good support for design teams to work concurrently on their design. However, not much research has been done on maintaining cons...
Complex system specifications are often hierarchically composed of several subsystems. Each subsystem contains one or more processes. In order to provide optimization across diffe...
Oliver Bringmann, Wolfgang Rosenstiel, Dirk Reicha...