We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
satisfactory network connectivity have dominated this line of research and abstracted away from the mathematical description of the physical processes underlying the observed pheno...
Abstract-- the paper presents a possibility formulation of oneparameter estimation that unifies some usual probability formulations. Point and confidence interval estimation are un...
In this paper, we propose an approximation of the relative phase probability function (RP pdf) and use it to find a non-iterative estimator for the concentration parameter of the...
We consider the problem of distributed channel estimation in a sensor network which employs a random sleep strategy to conserve energy. If the N network nodes are randomly placed a...