We propose a simple and energy efficient distributed Change Detection scheme for sensor networks based on Page’s parametric CUSUM algorithm. The sensor observations are IID ove...
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
DiffServ networks support three forwarding classes: EF, AF and BE. Scheduling algorithms based on priority queueing such as Cisco LLQ and MDRR seem to be a natural choice to provi...
We study state estimation via wireless sensors over fading channels. Packet loss probabilities depend upon time-varying channel gains, packet lengths and transmission power levels ...
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...