A Fusion Algorithm for Solving Bayesian Decision Problems
Artificial Intelligence
2013-03-26 v1
Abstract
This paper proposes a new method for solving Bayesian decision problems. The method consists of representing a Bayesian decision problem as a valuation-based system and applying a fusion algorithm for solving it. The fusion algorithm is a hybrid of local computational methods for computation of marginals of joint probability distributions and the local computational methods for discrete optimization problems.
Cite
@article{arxiv.1303.5750,
title = {A Fusion Algorithm for Solving Bayesian Decision Problems},
author = {Prakash P. Shenoy},
journal= {arXiv preprint arXiv:1303.5750},
year = {2013}
}
Comments
Appears in Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (UAI1991)