Bayesian Network Sensitivity to Arc-Removal
نویسنده
چکیده
Arc-removal is usually employed as part of an approximate inference scheme for Bayesian networks, whenever exact inference is intractable. We consider the removal of arcs in a different setting, as a means of simplifying a network under construction. We show how sensitivity functions, capturing the effects of parameter variation on an output of interest, can be employed to describe detailed effects of removing an arc. In addition, we provide new insights related to the choice of parameter settings upon arc removal, and the effect of this choice on the quality of the simplified model as an approximation of the original one.
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تاریخ انتشار 2010