Optimization algorithms for large margin multiclass recognizers are often too costly to handle ambitious problems with structured outputs and exponential numbers of classes. Optim...
In this work, the focus is put on the behavior of a system in case a fault occurs that disables the system from executing its applications. Instead of executing a random subset of...
Proposed and developed is a service composition framework for decision-making under uncertainty, which is applicable to stochastic optimization of supply chains. Also developed is ...
Evolutionary functional testing is an approach to automatically generating test cases that violate a certain functional system requirement. This paper proposes an approach suitabl...
Andreas Windisch, Felix Lindlar, Sebastian Topuz, ...
The main result of this paper is a near-optimal derandomization of the affine homomorphism test of Blum, Luby and Rubinfeld (Journal of Computer and System Sciences, 1993). We sho...