Fusion, propagation, and structuring in belief networks
Artificial Intelligence
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Approximating probabilistic inference in Bayesian belief networks is NP-hard
Artificial Intelligence
Computers and Biomedical Research - Papers presented at the 16th symposium on computer applications in medical care (SCAMC)
Structure and chance: melding logic and probability for software debugging
Communications of the ACM
Applying Bayesian networks to information retrieval
Communications of the ACM
Decision-theoretic troubleshooting
Communications of the ACM
Probabilistic independence networks for hidden Markov probability models
Neural Computation
Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Active Fusion Using Bayesian Networks Applied to Multi-Temporal Remote Sensing Imagery
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Optimal Monte Carlo estimation of belief network inference
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
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Graphical models are not just efficient computational structures--they also incorporate knowledge in an intuitive way. The authors give an overview of the most important graphical models and some interesting applications of each.