While quantitative probabilistic networks (QPNs) allow the expert to state influences between nodes in the network as influence signs, rather than conditional probabilities, infer...
Many conceptual studies of local cortical networks assume completely random wiring. For spatially extended networks, however, such random graph models are inadequate. The geometry...
In this case study, we describe a method that has potential to provide systematic support for public health information management. Public health agencies depend on specialized in...
Users who join a peer-to-peer network have, in general, suboptimal incentives to contribute to the network, because of the externalities that exist between them. The result is an ...
Panayotis Antoniadis, Costas Courcoubetis, Robin M...
Clusters of workstations and networked parallel computing systems are emerging as promising computational platforms for HPC applications. The processors in such systems are typica...
Prashanth B. Bhat, Viktor K. Prasanna, Cauligi S. ...