On state-space abstraction for anytime evaluation of Bayesian networks
ACM SIGART Bulletin
Dynamic Network Construction and Updating Techniques for the Diagnosis of Acute Abdominal Pain
IEEE Transactions on Pattern Analysis and Machine Intelligence
Decision-model construction with multilevel influence diagrams
The Knowledge Engineering Review
Learning Hidden Variable Networks: The Information Bottleneck Approach
The Journal of Machine Learning Research
A local approach for Bayesian fusion: Mathematical analysis and agent based conception
Robotics and Autonomous Systems
Learning the dimensionality of hidden variables
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
State-space abstraction for anytime evaluation of probabilistic networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Reasoning about the value of decision-model refinement: methods and application
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Dynamic network updating techniques for diagnostic reasoning
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Exploiting model equivalences for solving interactive dynamic influence diagrams
Journal of Artificial Intelligence Research
| Hi-index | 0.00 |