Fusion, propagation, and structuring in belief networks
Artificial Intelligence
Valuation-based systems: a framework for managing uncertainty in expert systems
Fuzzy logic for the management of uncertainty
Some improvements to the Shenoy-Shafer and Hugin architectures for computing marginals
Artificial Intelligence
Probabilistic Expert Systems
Graphical Belief Modeling
Axioms for probability and belief-function proagation
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
ACM Computing Surveys (CSUR)
An Alternative to Outward Propagation for Dempster-Shafer Belief Functions
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Computing probabilities of events in Bayesian networks
Technologies for constructing intelligent systems
Complexity of probabilistic reasoning in directed-path singly-connected Bayes networks
Artificial Intelligence
Iterative Multiagent Probabilistic Inference
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Method of probabilistic inference from learning data in Bayesian networks
Cybernetics and Systems Analysis
An approach to hybrid probabilistic models
International Journal of Approximate Reasoning
Inference in directed evidential networks based on the transferable belief model
International Journal of Approximate Reasoning
RC_Link: Genetic linkage analysis using Bayesian networks
International Journal of Approximate Reasoning
Path Propagation for Inference in Bayesian Networks
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Performance Evaluation of Algorithms for Soft Evidential Update in Bayesian Networks: First Results
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Towards a faster inference algorithm in multiply sectioned Bayesian networks
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Assessment of distribution system reliability based on Bayesian network and time sequence simulation
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
Comparing evidential graphical models for imprecise reliability
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Solving influence diagrams using HUGIN, shafer-shenoy and lazy propagation
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Bayesian error-bars for belief net inference
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
New advances in inference by recursive conditioning
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
On the complexity of probabilistic inference in singly connected bayesian networks
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Cybernetics and Systems Analysis
Hi-index | 0.00 |
In the last decade, several architectures have been proposed for exact computation of marginals using local computation. In this paper, we compare three architectures--Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer--from the perspective of graphical structure for message propagation, message-passing scheme, computational efficiency, and storage efficiency.