Ocean model simulations commonly assume the ocean is hydrostatic, resulting in near zero vertical motion. The vertical motion found is typically associated with the variations of ...
Relational Markov Decision Processes (MDP) are a useraction for stochastic planning problems since one can develop abstract solutions for them that are independent of domain size ...
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
In this paper, we address the problem of real-time video streaming over a bandwidth and energy constrained wireless sensor network (WSN) from a small number of dispersed video-sen...
Min Chen, Victor C. M. Leung, Shiwen Mao, Yong Yua...
We present a logical framework that is able to deal with variability in product family descriptions. The temporal logic MHML is based on the classical Hennessy–Milner logic with ...
Patrizia Asirelli, Maurice H. ter Beek, Alessandro...