Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
tion problem in two steps. First, we formulate an abstract optimization problem for video streaming in wireless networks in general. This formulation exposes the important interact...
Abstract. Traditional parallel programming methodologies for improving performance assume cache-based parallel systems. However, new architectures, like the IBM Cyclops-64 (C64), b...
Elkin Garcia, Ioannis E. Venetis, Rishi Khan, Guan...
In this paper, we design, implement and evaluate AdaptGuard, a software service for guarding adaptive systems, such as QoS-adaptive servers, from instability caused by software an...