Abstract. Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more recently active learning are two standard ...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
We have pioneered the deployment of EverLab, a production level private PlanetLab system using high-end clusters spread over Europe. EverLab supports both experimentation and comp...
We propose a concept that combines the cognitive with the computational approaches to experience-based trust reasoning. We emphasize that a cognitive component is vital for computa...
The industry requires innovative technologies to support the numeric design and simulation of manufactured products in order to reduce time to market delays and improve the perfor...