Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
We propose and evaluate an admission control paradigm for RTDBS, in which a transaction is submitted to the system as a pair of processes: a primary task, and a recovery block. Th...
Since computationally intensive applications may often require more resources than a single computing machine can provide in one administrative domain, bolstering resource co-allo...
Background: A protein structural class (PSC) belongs to the most basic but important classification in protein structures. The prediction technique of protein structural class has...
Abstract-- In this paper, we investigate communication strategies for the multiple access channel with feedback and correlated sources (MACFCS). The MACFCS models a wireless sensor...