Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
In studies of virtual teams, it is difficult to determine pure effects of geographic isolation and uneven communication technology. We developed a multi-agent computer model in Ne...
Ning Nan, Erik W. Johnston, Judith S. Olson, Natha...
Point-to-point transmissions represent a fundamental primitive in any communication network. Despite many proave appeared in the literature, providing an efficient implementation ...
Interprocessor communication times can be a significant fraction of the overall execution time required for data parallel applications. Large communication to computation ratios o...
Speckled Computing [1] is an emerging technology in which data will be sensed and processed in small (around 5X5 sq. millimeter) semiconductor grains called Specks. A dense and no...