Adaptive Probabilistic Networks with Hidden Variables
Machine Learning - Special issue on learning with probabilistic representations
Simulation-based inference for plan monitoring
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
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Decomposing Bayesian networks: triangulation of the moral graph with genetic algorithms
Statistics and Computing
Constructing Efficient Belief Network Structures With Expert Provided Information
IEEE Transactions on Knowledge and Data Engineering
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A Language for Construction of Belief Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Machines that learn to play games
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
DT Tutor: A Decision-Theoretic, Dynamic Approach for Optimal Selection of Tutorial Actions
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
NetCube: A Scalable Tool for Fast Data Mining and Compression
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Tree approximation for belief updating
Eighteenth national conference on Artificial intelligence
U-director: a decision-theoretic narrative planning architecture for storytelling environments
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Inference in hybrid Bayesian networks using dynamic discretization
Statistics and Computing
Theoretical analysis and practical insights on importance sampling in Bayesian networks
International Journal of Approximate Reasoning
Using artificial intelligent techniques to build adaptative tutoring systems
EATIS '07 Proceedings of the 2007 Euro American conference on Telematics and information systems
Putting Artificial Intelligence Techniques into a Concept Map to Build Educational Tools
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Looking Ahead to Select Tutorial Actions: A Decision-Theoretic Approach
International Journal of Artificial Intelligence in Education
Probabilistic Methods for Financial and Marketing Informatics
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Embedded Probabilistic Programming
DSL '09 Proceedings of the IFIP TC 2 Working Conference on Domain-Specific Languages
Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks
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MCMC Based Bayesian Inference for Modeling Gene Networks
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
Generalized evidence pre-propagated importance sampling for hybrid Bayesian networks
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Reducing particle filtering complexity for 3D motion capture using dynamic Bayesian networks
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Journal of Artificial Intelligence Research
Cutset sampling for Bayesian networks
Journal of Artificial Intelligence Research
Policy recognition in the abstract hidden Markov model
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Variational probabilistic inference and the QMR-DT network
Journal of Artificial Intelligence Research
Local learning in probabilistic networks with hidden variables
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
The BATmobile: towards a Bayesian automated taxi
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Criteria to evaluate approximate belief network representations in expert systems
Decision Support Systems
Dynamic importance sampling in Bayesian networks based on probability trees
International Journal of Approximate Reasoning
Assessment of distribution system reliability based on Bayesian network and time sequence simulation
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
Empirical analysis of an on-line adaptive system using a mixture of Bayesian networks
Information Sciences: an International Journal
International Journal of Approximate Reasoning
Importance Sampling for Continuous Time Bayesian Networks
The Journal of Machine Learning Research
Goal oriented symbolic propagation in Bayesian networks
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
A logic and time nets for probabilistic inference
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
Dynamic MAP calculations for abduction
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
SampleSearch: Importance sampling in presence of determinism
Artificial Intelligence
Importance sampling on Bayesian networks with deterministic causalities
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
A general algorithm for approximate inference and its application to hybrid bayes nets
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A variational approximation for Bayesian networks with discrete and continuous latent variables
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Loopy belief propagation for approximate inference: an empirical study
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Adaptive importance sampling for estimation in structured domains
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
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
Exact inference in networks with discrete children of continuous parents
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Stochastic simulation algorithms for dynamic probabilistic networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Structured arc reversal and simulation of dynamic probabilistic networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Tail sensitivity analysis in Bayesian networks
UAI'96 Proceedings of the Twelfth international 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
Real time estimation of Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
A stratified simulation scheme for inference in Bayesian belief networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Value of evidence on influence diagrams
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Backward simulation in Bayesian networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Incremental dynamic construction of layered polytree 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
Mixtures of Gaussians and minimum relative entropy techniques for modeling continuous uncertainties
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Using causal information and local measures to learn Bayesian networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Dynamic network models for forecasting
UAI'92 Proceedings of the Eighth 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
OntoBayes approach to corporate knowledge
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
An importance sampling algorithm based on evidence pre-propagation
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Bayesian networks applied to therapy monitoring
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
Computational Statistics & Data Analysis
Availability modelling of repairable systems using Bayesian networks
Engineering Applications of Artificial Intelligence
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Bayesian networks for patient monitoring
Artificial Intelligence in Medicine
Paper: A tutorial introduction to stochastic simulation algorithms for belief networks
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Importance sampling algorithms for Bayesian networks: Principles and performance
Mathematical and Computer Modelling: An International Journal
A review on evolutionary algorithms in Bayesian network learning and inference tasks
Information Sciences: an International Journal
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