We apply a constrained Hidden Markov Model architecture to the problem of simultaneous localization and surveying from sensor logs of mobile agents navigating in unknown environmen...
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
Abstract. In this paper we present a real automatic meteorological information system that, not only provides friendly voice access to realtime data coming from automatic sensors, ...
We introduce the Symphony framework, a software ion layer that can sit on top of grid systems. Symphony provides a unified API for grid application developers and offers a graphic...
Adoptable, high performing, large scale ontologies that can be extended to support multi-media play a crucial role in building effective content and knowledge management systems a...