When joining information provider peers to a peer-to-peer network, an arbitrary distribution is sub-optimal. In fact, clustering peers by their characteristics, enhances search and...
Systemic pathways-oriented approaches to analysis of metabolic networks are effective for small networks but are computationally infeasible for genome scale networks. Current comp...
Nagiza F. Samatova, Al Geist, George Ostrouchov, A...
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Abstract: We present PERT, a power-efficient scheme to deliver real-time data packets in sensor networks. Time-sensitive sensor data is common in applications such as hazard monito...
Increasing traffic density enforces development of Advanced Driver Assistance Systems to cope with safety aspects. Such systems require serious amount of sensor data to deduce spat...