Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute an expressive framework for multiagent planning under uncertainty, but solving them is provabl...
Frans A. Oliehoek, Matthijs T. J. Spaan, Shimon Wh...
Cost pressure is driving vendors of safety-critical systems to integrate previously distributed systems. One natural approach we have previous introduced is On-Demand Redundancy (...
Brett H. Meyer, Benton H. Calhoun, John Lach, Kevi...
Networks on chip (NoCs) draw on concepts inherited from distributed systems and computer networks subject areas to interconnect IP cores in a structured and scalable way. Congesti...
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...