— We present results of a collaboration project, during which parts of General Motors’ north American vehicle supply chain have been modeled and evaluated. A variant of colored...
Armin Zimmermann, Michael Knoke, Shang-Tae Yee, Je...
Abstract— We analyze the performance of multiple-input multiple-output (MIMO) systems employing orthogonal space-time block codes (STBC) in general Nakagami-m fading channels wit...
We propose a general framework for improving the query processing performance on multi-level memory hierarchies. Our motivation is that (1) the memory hierarchy is an important pe...
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
Matthias Seeger, Sebastian Gerwinn, Matthias Bethg...
Abstract. When a robot learns to solve a goal-directed navigation task with reinforcement learning, the acquired strategy can usually exclusively be applied to the task that has be...