Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Management of large-scale parallel and distributed applications is an extremely complex task due to factors such as centralized management architectures, lack of coordination and ...
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Routers are expected to play an important role in the IPbased wireless data network. Although a substantial number of techniques have been proposed to improve wireless network per...
Petros Zerfos, Gary Zhong, Jerry Cheng, Haiyun Luo...
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...