Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
c Abstraction for Intervals Using Boolean Formulae J¨org Brauer1 and Andy King2 1 Embedded Software Laboratory, RWTH Aachen University, Germany 2 Portcullis Computer Security, Pin...
Abstract—This paper considers the problem of Gaussian symbols detection in MIMO systems in the presence of channel estimation errors. Under this framework we develop a computatio...
—Medical image registration is an important task in medical image processing. It refers to the process of aligning data sets, possibly from different modalities (e.g., magnetic r...
Stefan Klein, Marius Staring, Keelin Murphy, Max A...
—The concept of p-cycle (preconfigured protection cycle) allows fast and efficient span protection in wavelength division multiplexing (WDM) mesh networks. To design p-cycles f...