Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
A new class of interconnection networks, the hypernetworks, has been proposed recently. Hypernetworks are characterized by hypergraphs. Compared with point-to-point networks, they...
The widespread dissemination of small-scale sensor nodes has sparked interest in a powerful new database abstraction for sensor networks: Clients “program” the sensors through ...
Niki Trigoni, Yong Yao, Alan J. Demers, Johannes G...
This paper considers the on-line traffic grooming problem in WDM-TDM switched optical mesh networks without wavelength conversion capability. The objective is to efficiently rou...
Abstract. We present a framework for heterogeneous video multicasting, considering an active network in which active nodes can filter the video stream to satisfy different quality ...