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What is A Myopic Approach To Ordering Nodes For Parameter Elicitation in Bayesian Belief Networks about?

This paper presents a method for optimizing the order of eliciting conditional probabilities from experts in Bayesian belief networks, aiming to maximize information gain while minimizing elicitation time. The authors introduce an analytical approach that utilizes prior distributions and expected proximity criteria, demonstrating that the optimal order significantly depends on the variables of interest. The findings are intended to assist researchers and practitioners in effectively building belief networks

Author

liuh77379

Language

EN