Supervised estimation methods are widely seen as being superior to semi and fully unsupervised methods. However, supervised methods crucially rely upon training sets that need to ...
We propose a novel a framework for deriving approximations for intractable probabilistic models. This framework is based on a free energy (negative log marginal likelihood) and ca...
Traffic congestion is one of the worst problems in many countries. Traffic congestion wastes a huge portion of the national income for fuel and traffic-related environmental and s...
Stream Option Manager (SOM) is a set of mathematical tools developed at The MITRE Corporation's Center for Advanced Aviation System Development (CAASD). While still under dev...
William P. Niedringhaus, Michael J. White, Patrick...
We present an extended framework for modelling agent-object interactions in virtual environments. Our framework is based on the concept of Smart Objects and provides agents with p...
Christopher Peters, Simon Dobbyn, Brian MacNamee, ...