Image Interpretation Using Bayesian Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Stochastic Conditional Independence: the Problems of Characterization and Description
Annals of Mathematics and Artificial Intelligence
Learning Structure from Data and Its Application to Ozone Prediction
Applied Intelligence
Learning from imprecise data: possibilistic graphical models
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Operations and evaluation measures for learning possibilistic graphical models
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Inference of structures of models of probabilistic dependences from statistical data
Cybernetics and Systems Analysis
The Journal of Machine Learning Research
Management of probabilistic data: foundations and challenges
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Racing algorithms for conditional independence inference
International Journal of Approximate Reasoning
Minimal separators in dependency structures: Properties and identification
Cybernetics and Systems Analysis
Probabilistic databases: diamonds in the dirt
Communications of the ACM - Barbara Liskov: ACM's A.M. Turing Award Winner
Randomized algorithms for the loop cutset problem
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Characterizations of decomposable dependency models
Journal of Artificial Intelligence Research
Construction of minimal d-separators in a dependency system
Cybernetics and Systems Analysis
Computational Statistics & Data Analysis
Learning causal trees from dependence information
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Random algorithms for the loop cutset problem
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
On characterizing inclusion of Bayesian networks
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
An algorithm for finding minimum d-separating sets in belief networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Identifying independencies in causal graphs with feedback
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
On separation criterion and recovery algorithm for chain graphs
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Approximation algorithms for the loop cutset problem
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
On testing whether an embedded Bayesian network represents a probability model
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Some complexity considerations in the combination of belief networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Deriving a minimal I-map of a belief network relative to a target ordering of its nodes
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Valuation networks and conditional independence
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
Deciding morality of graphs is NP-complete
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
An algorithm for deciding if a set of observed independencies has a causal explanation
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
A mobile computing approach for navigation purposes
W2GIS'06 Proceedings of the 6th international conference on Web and Wireless Geographical Information Systems
Advances in probabilistic reasoning
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
A graph-based inference method for conditional independence
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Racing for conditional independence inference
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Causal bounds and observable constraints for non-deterministic models
The Journal of Machine Learning Research
Paper: Towards a statistically oriented decision support system for the management of septicaemia
Artificial Intelligence in Medicine
Learning linear cyclic causal models with latent variables
The Journal of Machine Learning Research
On semantics of inference in bayesian networks
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Profit optimizing customer churn prediction with Bayesian network classifiers
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
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