A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...
TD-FALCON (Temporal Difference - Fusion Architecture for Learning, COgnition, and Navigation) is a class of self-organizing neural networks that incorporates Temporal Difference (...
We consider a fluid queue in discrete time with random service rate. Such a queue has been used in several recent studies on wireless networks where the packets can be arbitrarily...
Using an authoritative data set from a fully instrumented router at the edge of a core network, packet delays through an access link are studied in detail. Three different root ca...
Konstantina Papagiannaki, Darryl Veitch, Nicolas H...
In this paper, we investigate the performance of an IEEE802.3 shared-bandwidth hub under a mixed data/real-time traffic load. For the regular data nodes we assume an exponentially...