Communications of the ACM
Applying Bayesian networks to information retrieval
Communications of the ACM
Bayesian Networks for Data Mining
Data Mining and Knowledge Discovery
IEEE Transactions on Knowledge and Data Engineering
Anytime Possibilistic Propagation Algorithm
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
Proactive Network Fault Detection
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
On probabilistic inference by weighted model counting
Artificial Intelligence
Inference in the Promedas Medical Expert System
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Mixed deterministic and probabilistic networks
Annals of Mathematics and Artificial Intelligence
Computer Methods and Programs in Biomedicine
Exploiting causal independence using weighted model counting
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Convexity arguments for efficient minimization of the Bethe and Kikuchi free energies
Journal of Artificial Intelligence Research
Variational probabilistic inference and the QMR-DT network
Journal of Artificial Intelligence Research
Exploiting structure in weighted model counting approaches to probabilistic inference
Journal of Artificial Intelligence Research
Loopy belief propagation for approximate inference: an empirical study
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Multiplicative factorization of noisy-max
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Exploiting functional dependence in bayesian network inference
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Hybrid processing of beliefs and constraints
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Recognition networks for approximate inference in BN20 networks
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
A tractable POMDP for a class of sequencing problems
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Efficient search-based inference for noisy-OR belief networks: topepsilon
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Computing upper and lower bounds on likelihoods in intractable networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Computational complexity reduction for BN2O networks using similarity of states
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Symbolic probabilistic inference in large BN20 networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Diagnosis of multiple faults: a sensitivity analysis
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Additive belief-network models
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Incremental probabilistic inference
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Exploring localization in Bayesian networks for large expert systems
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Local expression languages for probabilistic dependence: a preliminary report
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Search-based methods to bound diagnostic probabilities in very large belief nets
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Probabilistic inference with noisy-threshold models based on a CP tensor decomposition
International Journal of Approximate Reasoning
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