Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
Probabilistic correctness is another important aspect of reliable systems. A soft real-time system, for instance, exhibits probabilistic behaviors from tolerating some degrees of ...
Usa Sammapun, Insup Lee, Oleg Sokolsky, John Regeh...
One vision of an opportunistic sensor network (OSN) uses sensor access points (SAPs) to assign mobile sensors with sensing tasks submitted by applications that could be running any...