ACM SIGART Bulletin
On state-space abstraction for anytime evaluation of Bayesian networks
ACM SIGART Bulletin
Indexing density models for incremental learning and anytime classification on data streams
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Using performance profile trees to improve deliberation control
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Randomized algorithms for the loop cutset problem
Journal of Artificial Intelligence Research
Monitoring the progress of anytime problem-solving
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Models of continual computation
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Random algorithms for the loop cutset problem
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A bayesian approach to tackling hard computational problems
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
A graph-theoretic analysis of information value
UAI'96 Proceedings of the Twelfth international 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
Tradeoffs in constructing and evaluating temporal influence diagrams
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Reformulating inference problems through selective conditioning
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Time-dependent utility and action under uncertainty
UAI'91 Proceedings of the Seventh 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
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
A learning-based algorithm selection meta-reasoner for the real-time MPE problem
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
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