In this paper we study the problem of bounding the value of the probability distribution function of a random variable X at E[X] + a where a is a small quantity in comparison with...
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
Local genetic algorithms have been designed with the aim of providing effective intensiļ¬cation. One of their most outstanding features is that they may help classical local searc...
Abstract--Phase-Change Random Access Memory (PRAM) has become one of the most promising emerging memory technologies, due to its attractive features such as high density, fast acce...
In this work we study optimal coding strategies for bidirectional relaying under the condition of arbitrarily varying channels. We consider a three-node network where a relay node ...
Rafael F. Wyrembelski, Igor Bjelakovic, Holger Boc...