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
On the Desirability of Acyclic Database Schemes
Journal of the ACM (JACM)
Uncertain Information Processing in Expert Systems
Uncertain Information Processing in Expert Systems
Nonserial Dynamic Programming
Valuation-based systems for discrete optimisation
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Theory of Relational Databases
Theory of Relational Databases
An Extended Relational Data Model For Probabilistic Reasoning
Journal of Intelligent Information Systems
The Relational Structure of Belief Networks
Journal of Intelligent Information Systems
Constructing the Dependency Structure of a Multiagent Probabilistic Network
IEEE Transactions on Knowledge and Data Engineering
A theoretical framework for possibilistic independence in a weakly ordered setting
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
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
Construction of a Non-redundant Cover for Conditional Independencies
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
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
Optimizing mpf queries: decision support and probabilistic inference
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Probabilistic processing of interval-valued sensor data
Proceedings of the 5th workshop on Data management for sensor networks
A formal comparison of variable elimination and arc reversal in Bayesian network inference
Intelligent Decision Technologies
Probabilistic reasoning in Bayesian networks: a relational database approach
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
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
Database-support for continuous prediction queries over streaming data
Proceedings of the VLDB Endowment
Loglinear models for first-order probabilistic reasoning
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Testing implication of probabilistic dependencies
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Incorporating evidence in bayesian networks with the select operator
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Compositional models in valuation-based systems
International Journal of Approximate Reasoning
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This paper discusses a method for implementing a probabilistic inference system based on an extended relational data model. This model provides a unified approach for a variety of applications such as dynamic programming, solving sparse linear equations, and constraint propagation. In this framework, the probability model is represented as a generalized relational database. Subsequent probabilistic requests can be processed as standard relational queries. Conventional database management systems can be easily adopted for implementing such an approximate reasoning system.