The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Real-time embedded systems are increasingly being networked. In distributed real-time embedded applications, e.g., electric grid management and command and control applications, i...
A large body of research literature has focused on improving the performance of longest prefix match IP-lookup. More recently, embedded memory based architectures have been propos...
Sailesh Kumar, Michela Becchi, Patrick Crowley, Jo...
— Active queue management (AQM) in routers has been proposed as a solution to some of the scalability issues associated with TCP’s pure end-to-end approach to congestion contro...