A Fusion Algorithm for Solving Bayesian Decision Problems
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.
PDF Link: /papers/91/p361-shenoy.pdf
AUTHOR = "Prakash Shenoy
TITLE = "A Fusion Algorithm for Solving Bayesian Decision Problems",
BOOKTITLE = "Proceedings of the Seventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-91)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1991",
PAGES = "361--369"