Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Abstract—Exponential bandwidth scaling has been a fundamental driver of the growth and popularity of the Internet. However, increases in bandwidth have been accompanied by increa...
Joseph Chabarek, Joel Sommers, Paul Barford, Crist...
—We argue that the traditional notion of trust as a relation among entities, while useful, becomes insufficient for emerging data-centric mobile ad hoc networks. In these system...
Maxim Raya, Panagiotis Papadimitratos, Virgil D. G...
Linking components with end-user requests for processing is problematic when there are fundamental language differences between component specifications and how individual users s...
Rose F. Gamble, Robert Baird, Leigh Flagg, Melody ...
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...