Propagation of Gaussian Belief Functions
Abstract
Gaussian belief functions are represented in both variable space and configuration space. Their combinations are defined in terms of the Dempster’s rule, sweep operators, and restrictions in configuration space. The equivalence of the alternative definitions is proved. The computation of Gaussian belief functions is shown to follow the Shafer-Shenoy axioms.
Cite
Text
Liu. "Propagation of Gaussian Belief Functions." Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, 1995.Markdown
[Liu. "Propagation of Gaussian Belief Functions." Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, 1995.](https://mlanthology.org/aistats/1995/liu1995aistats-propagation/)BibTeX
@inproceedings{liu1995aistats-propagation,
title = {{Propagation of Gaussian Belief Functions}},
author = {Liu, Liping},
booktitle = {Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics},
year = {1995},
pages = {324-330},
volume = {R0},
url = {https://mlanthology.org/aistats/1995/liu1995aistats-propagation/}
}