A Fusion Algorithm for Solving Bayesian Decision Problems
arXiv:1303.5750
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.
Appears in Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (UAI1991)