Paper Info
Title
On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency
Abstract
Bayesian networks serve as the basis for developing proba- bilistic expert systems and have been applied widely in artificial intel- ligence. Previous research has argued that Bayesian networks and re- lational databases are different by showing that the logical implication of conditional independence (CI) and embedded multivalued dependency (EMVD) do not always coincide. In this paper, we show that this theo- retical difference has no practical impact when designing probabilistic ex- pert systems. Therefore, this work adds to the mounting evidence clearly indicating that the implementation of probabilistic expert systems can take advantage of conventional relational database management systems.
Year
Venue
Keywords
2005
IICAI
bayesian network,relational database management system,conditional independence,expert system
Field
DocType
Citations 
Logical consequence,Multivalued dependency,Relational database,Pattern recognition,Conditional independence,Computer science,Expert system,Bayesian network,Artificial intelligence,Relational database management system,Probabilistic logic,Machine learning
Conference
0
PageRank 
References 
Authors
0.34
8
2
Name
Order
Citations
PageRank
Cory J. Butz138340.80
Pawan Lingras21408143.21