Learning Markov networks: maximum bounded tree-width graphs
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
ACM Computing Surveys (CSUR)
Importance Sampling in Bayesian Networks Using Antithetic Variables
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Logic, Knowledge Representation, and Bayesian Decision Theory
CL '00 Proceedings of the First International Conference on Computational Logic
Approximate inference in probabilistic graphical models with determinism
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Journal of Artificial Intelligence Research
Complexity results and approximation strategies for MAP explanations
Journal of Artificial Intelligence Research
Dynamic importance sampling in Bayesian networks based on probability trees
International Journal of Approximate Reasoning
Bridging the gap between intensional and extensional query evaluation in probabilistic databases
Proceedings of the 13th International Conference on Extending Database Technology
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Modified algorithm for efficient reasoning in qualitative belief networks
ISPDC'03 Proceedings of the Second international conference on Parallel and distributed computing
Monte Carlo inference via greedy importance sampling
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Confidence inference in bayesian networks
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Context-specific approximation in probabilistic inference
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Optimal Monte Carlo estimation of belief network inference
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
An alternative proof that exact inference problem in bayesian belief networks is NP-hard
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
Optimal Monte Carlo integration with fixed relative precision
Journal of Complexity
Hi-index | 0.00 |