— Nanoscale technologies provide both challenges and opportunities. We show that the issues and potential solutions facing designers are technology independent and arise mainly f...
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
Abstract—The security mechanisms employed in current networked environments are increasingly complex, and their configuration management has an important role for the protection...
—In embedded computing we face a continuously growing algorithm complexity combined with a constantly rising number of applications running on a single system. Multi-core systems...
Bastian Ristau, Torsten Limberg, Oliver Arnold, Ge...