We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
We investigate flow rate optimization on a wireless link with randomly varying channel gain using techniques from adaptive modulation and network utility maximization. We consider ...
Since December 2008, the official BitTorrent client is using a new congestion-control protocol for data transfer, implemented at the application layer and built over UDP at the tr...
Since entities participating in P2P networks are usually autonomous and therefore free to decide on their level of participation, mechanisms to resolve conflicts between individu...
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...