We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
The plenoptic function (Adelson and Bergen, 91) describes the visual information available to an observer at any point in space and time. Samples of the plenoptic function (POF) a...
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
With increasing deployment of systems involving multiple coordinating agents, there is a growing need for diagnosing coordination failures in such systems. Previous work presented...
Meir Kalech, Gal A. Kaminka, Amnon Meisels, Yehuda...
An open challenge is to integrate XML and conceptual modeling in order to satisfy large-scale enterprise needs. Because enterprises typically have many data sources using differe...
David W. Embley, Stephen W. Liddle, Reema Al-Kamha