Verbal and non-verbal interaction capabilities for robots are often studied isolated from each other in current research trend because they largely contribute to different aspects...
We initiate the study of incentives in a general machine learning framework. We focus on a game-theoretic regression learning setting where private information is elicited from mu...
This article studies disruption tolerant networks (DTNs) where each node knows the probabilistic distribution of contacts with other nodes. It proposes a framework that allows one ...
Abstract The volume and complexity of knowledge produced by medical research calls for the development of technology for automated management and analysis of such knowledge. In thi...
Nikos Gorogiannis, Anthony Hunter, Vivek Patkar, M...
This paper addresses the problem of scheduling concurrent jobs on clusters where application data is stored on the computing nodes. This setting, in which scheduling computations ...
Michael Isard, Vijayan Prabhakaran, Jon Currey, Ud...