Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
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
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
A review of explanation methods for Bayesian networks
The Knowledge Engineering Review
Dynamic Data Feed to Bayesian Network Model and SMILE Web Application
SNPD '08 Proceedings of the 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
The Bayesian structural EM algorithm
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Explanation of Bayesian Networks and Influence Diagrams in Elvira
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Bayesian networks (BNs) are probabilistic graphical models that are widely used for building diagnosis- and decision-support expert systems. The construction of BNs with the help of human experts is a difficult and time consuming task, which is prone to errors and omissions especially when the problems are very complicated. Learning the structure of a Bayesian network model and causal relations from a dataset or database is important for large BNs analysis. This paper focuses on using a SMILE web-based interface for building the structure of BN models from a dataset by using different structural learning algorithms. In addition to building the structure of BN models, a SMILE web-based interface also provides the feature set of Bayesian diagnosis for the user. The web application uses a novel user-friendly interface which intertwines the steps in the data analysis with brief support instructions to the Bayesian approach adopted. A SMILE web-based interface has been developed based on SMILE (Structural Modeling, Interface, and Learning Engine), SMILEarn, and SMILE.NET wrapper.