Axioms for probability and belief-function propagation (1990)

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by Prakash P. Shenoy , Glenn Shafer
Venue:Uncertainty in Artificial Intelligence
Citations:135 - 17 self

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11 Local computation in hypertrees – Glenn Shafer, Prakash P. Shenoy - 1991
86 Perspectives on the Theory and Practice of Belief Functions – Glenn Shafer - 1990
15 Theory of evidence -- a survey of its mathematical foundations, applications and computational aspects – Jürg Kohlas, Paul-Andre Monney - 1994
2 Belief function propagation based on Shenoy’s fusion algorithm, in – Norbert Lehmann, Rolf Haenni - 2000
6 Using Dempster-Shafer's Belief-Function Theory in Expert Systems – Prakash P. Shenoy - 1994
2 Axioms for dynamic programming – Prakash P. Shenoy - 1996
29 Propositional information system – Jürg Kohlas, Serafín Moral, Rolf Haenni - 1996
5 Using possibility theory in expert systems – Prakash P. Shenoy - 1992
53 Probabilistic argumentation systems – R. Haenni, J. Kohlas, N. Lehmann - 2000
8 An Alternative to Outward Propagation for Dempster-Shafer Belief Functions – Norbert Lehmann, Rolf Haenni - 1998
39 A Comparison of Bayesian and Belief Function Reasoning – Barry Cobb, Prakash Shenoy, Shenoy Ii - 2002
16 Optimality issues in constructing a Markov tree from graphical models – Russell Almond, Augustine Kong, Russell Almond, Augustine Kong - 1991
BBA Basic Belief Assignment Notation – Mohamed Sallak Walter Schön, Criticality Importance, Mx Fi
10 Belief functions – Glenn Shafer - 1990
8 Efficient hypertree construction – Rolf Haenni, Norbert Lehmann - 1999
1 On a Tool for Reasoning with Mass Distributions – Rudolf Kruse, Erhard Schwecke, Frank Klawonn
5 Approximation of Bayesian networks through edge removals – Uffe Kjærulff - 1993
18 Implementing Dempster’s Rule for Hierarchical Evidence – Glenn Shafer, Roger Logan
The Belief Calculus and Uncertain Reasoning Yen-Teh Hsia* – Universitk Libre De Bruxelles, I. Pntroduction