
Variable ordering has a significant impact on the accuracy of Bayesian network structure learning algorithms, often eclipsing the effects of sample size, objective function, and hyper-parameter changes.


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The Significant Impact of Arbitrary Variable Ordering on Bayesian Network Structure Learning Algorithms
