While active networks provide new solutions for the deployment of dynamic services in the network, exposing network processing resources, logistical networking focuses on exposing...
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 ...
Publish/subscribe systems are used increasingly often as a communication mechanism in loosely-coupled distributed applications. With their gradual adoption in mission critical are...
This paper proposes a strategy for parallel composite event detection in Active database systems (DBS). Up to now, the detection is sequential and totally synchronized, and thus p...
Imitation learning, also called learning by watching or programming by demonstration, has emerged as a means of accelerating many reinforcement learning tasks. Previous work has s...