Publication - A constructive Bayesian approach for vehicle

Authors: Xiang, Yang and Lesser, Victor
Title: A constructive Bayesian approach for vehicle
Abstract: A key component of a vehicle monitoring system is uncertainty management Bayesian networks (BN) emerged as a normative and effective formalism for uncertain reasoning in many AI tasks. Since a priori modeling of the domain into a BN is impractical due to the vast interpretation space, the BN formalism has been considered inapplicable to this type of task. We propose a framework in which the BN formalism can be applied to vehicle monitoring The framework explores domain decomposition, model separation, model approximation, model compilation and re-analysis. Experimental implementation demonstrated good performance at near, realtime
Keywords: Distributed Bayesian Network, DVMT
Publication: Proc. 3rd Inter. Conf. on Information Fusion, ThC2, pp. 14 - 21
Location: Paris
Date: January 2000
Sources: PS: /Documents/vehi.ps
PDF: /Documents/vehi.pdf
Reference: Xiang, Yang and Lesser, Victor. A constructive Bayesian approach for vehicle. Proc. 3rd Inter. Conf. on Information Fusion, ThC2, pp. 14-21. January 2000.
bibtex:
@article{Xiang-195,
  author    = "Yang Xiang and Victor Lesser",
  title     = "{A constructive Bayesian approach for vehicle}",
  journal   = "Proc. 3rd Inter. Conf. on Information Fusion, ThC2",
  pages     = "14-21",
  month     = "January",
  year      = "2000",
  address   = "Paris",
  url       = "http://mas.cs.umass.edu/paper/195",
}