The recent transition from meshing the whole model towards the independent meshing of the assembly parts introduced new challenges also in the task of visualizing and pre-processi...
Norbert Frisch, Dirc Rose, Ove Sommer, Thomas Ertl
Quantitative performance modeling of complex information systems is of immense importance for designing enterprise e-business infrastructures and applications. In this paper, we p...
To realise variability at the code level, product line methods classically advocate usage of inheritance, components, frameworks, aspects or generative techniques. However, these ...
Quentin Boucher, Andreas Classen, Patrick Heymans,...
We present a new parametric model for the angular measure of a multivariate extreme value distribution. Unlike many parametric models that are limited to the bivariate case, the ï...
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...