Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
Current hidden Markov acoustic modeling for large vocabulary continuous speech recognition (LVCSR) relies on the availability of abundant labeled transcriptions. Given that speech...
Abstract—This paper considers maximizing throughput utility in a multi-user network with partially observable Markov ON/OFF channels. Instantaneous channel states are never known...
The Service-Oriented Architecture (SOA) paradigm promises to enable software vendors to compose software systems using services purchased from various suppliers. In this paper, we...
Jan Christian Lang, Thomas Widjaja, Peter Buxmann,...
Research and products for the integration of heterogeneous legacy source databases in data warehousing have addressed numerous data quality problems in or between the sources. Suc...
Matthias Jarke, Christoph Quix, Guido Blees, Dirk ...