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Surrogate Model–Assisted Learning of Conditional Probability Tables of Bayesian Networks Describing Structural Systems
Publisher: American Society of Civil Engineers
Abstract: AbstractBayesian network (BN) is an effective tool to describe and interpret the probability
distribution of a complex phenomenon. Essential building blocks in discrete BNs are
conditional probability tables (CPTs) quantifying ...
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