We implemented and studied a variety of Bayes'-network inference
algorithms. Our experiments allowed the comparison of their relative
performance, and assessment of the relative accuracy of inexact
algorithms when run with various parameters. Additionally, analysis of
our experimental results led to a deeper understanding of the issues
affecting query performance when performing inference in Bayes' nets,
and a better understanding of the appropriate choice of sampling
algorithm and parameters for performing approximate inference in
different Bayes' nets.

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