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18 papers · 1 filter
Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (1997)
Dan Geiger, Prakash Shenoy
This is the Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, which was held in Providence, RI, August 1-3, 1997
Propagation of Belief Functions: A Distributed Approach
Prakash P. Shenoy, Glenn Shafer, Khaled Mellouli
In this paper, we describe a scheme for propagating belief functions in certain kinds of trees using only local computations. This scheme generalizes the computational scheme propo…
A Fusion Algorithm for Solving Bayesian Decision Problems
Prakash P. Shenoy
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…
Conditional Independence in Uncertainty Theories
Prakash P. Shenoy
This paper introduces the notions of independence and conditional independence in valuation-based systems (VBS). VBS is an axiomatic framework capable of representing many differen…
A Belief-Function Based Decision Support System
Hong Xu, Yen-Teh Hsia, Philippe Smets
In this paper, we present a decision support system based on belief functions and the pignistic transformation. The system is an integration of an evidential system for belief func…
Valuation Networks and Conditional Independence
Prakash P. Shenoy
Valuation networks have been proposed as graphical representations of valuation-based systems (VBSs). The VBS framework is able to capture many uncertainty calculi including probab…