Multi-valued logics support the explicit modeling of uncertainty and disagreement by allowing additional truth values in the logic. Such logics can be used for verification of dyn...
Marsha Chechik, Benet Devereux, Steve M. Easterbro...
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...
Abstract. This work introduces a new analytical method for performance evaluation of wireless packet-oriented networks. Unlike traditional call admission control procedures commonl...
—The use of passive optical networks (PONs) enables access rates of multi-Gbit/sec bandwidth and provision of quality of service for high definition multimedia services. In this...
Yan Wang, Moshe Zukerman, Ron Addie, Sammy Chan, R...
— EMG-to-force estimation for voluntary muscle contraction has many applications in human-machine interaction, motion analysis, and rehabilitation robotics for prosthetic limbs o...
Mitsuhiro Hayashibe, David Guiraud, Philippe Poign...