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 |
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| 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",
}
|
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