On the application of the bootstrap for computing confidence measures on features of induced Bayesian networks

Abstract

In the context of learning Bayesian networks from data, very little work has been published on methods for assessing the quality of an induced model. This issue, however, has received a great deal of attention in the statistics literature. In this paper, we take a well-known method from statistics, Efron’s Bootstrap, and examine its applicability for… (More)

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