Ideally computer pattern recognition systems should be insensitive to scaling, translation, distortion and rotation. Many neural network models have been proposed to address this ...
We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...
In this paper we show how game theory and Gibbs sampling techniques can be used to design a self-optimizing algorithm for minimizing end-to-end delays for all flows in a multi-clas...
We consider network congestion problems between TCP flows and define a new game, the Window-game, which models the problems of network congestion caused by the competing flows. An...
Pavlos S. Efraimidis, Lazaros Tsavlidis, George B....
Abstract— This paper considers hybrid-ARQ under the constraints of noncoherent orthogonal modulation and hard-decision decoding. Information theoretic bounds on the throughput fo...