Fusion, propagation, and structuring in belief networks
Artificial Intelligence
IEEE Transactions on Software Engineering
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in expert systems: theory and algorithms
Probabilistic reasoning in expert systems: theory and algorithms
Decomposing a relation into a tree of binary relations
Journal of Computer and System Sciences
Uncertainty and vagueness in knowledge based systems
Uncertainty and vagueness in knowledge based systems
A simplied universal relation assumption and its properties
ACM Transactions on Database Systems (TODS)
Normalization and hierarchical dependencies in the relational data model
ACM Transactions on Database Systems (TODS)
Multivalued dependencies and a new normal form for relational databases
ACM Transactions on Database Systems (TODS)
On the Desirability of Acyclic Database Schemes
Journal of the ACM (JACM)
Uncertain Information Processing in Expert Systems
Uncertain Information Processing in Expert Systems
The Management of Probabilistic Data
IEEE Transactions on Knowledge and Data Engineering
Graphs and Hypergraphs
Theory of Relational Databases
Theory of Relational Databases
A method for implementing a probabilistic model as a relational database
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Testing implication of probabilistic dependencies
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Separoids: A Mathematical Framework for Conditional Independence and Irrelevance
Annals of Mathematics and Artificial Intelligence
Constructing the Dependency Structure of a Multiagent Probabilistic Network
IEEE Transactions on Knowledge and Data Engineering
Equivalent Characterization of a Class of Conditional Probabilistic Independencies
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Triangulation of Bayesian Networks: A Relational Database Perspective
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Properties of Weak Conditional Independence
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
The membership problem for probabilistic and data dependencies
Technologies for constructing intelligent systems
Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems
IDEAS '99 Proceedings of the 1999 International Symposium on Database Engineering & Applications
Fuzzy functional dependencies and Bayesian networks
Journal of Computer Science and Technology
Maximal prime subgraph decomposition of Bayesian networks: A relational database perspective
International Journal of Approximate Reasoning
A common framework for rough sets, databases, and Bayesian networks
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Constructing the Bayesian network structure from dependencies implied in multiple relational schemas
Expert Systems with Applications: An International Journal
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Probabilistic methods provide a formalism for reasoning aboutpartial beliefs under conditions of uncertainty. This paper suggests a newrepresentation of probabilistic knowledge. This representation encompassesthe traditional relational database model. In particular, it is shown thatprobabilistic conditional independence is equivalent to the notion of generalized multivalued dependency. More importantly,a Markov network can be viewed as a generalized acyclic joindependency. This linkage between these two apparently different butclosely related knowledge representations provides a foundation fordeveloping a unified model for probabilistic reasoning and relationaldatabase systems.