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References in periodicals archive ?
(1) Parts of inference algorithms assume that links traversed by E2E paths do not change during the process of congested link inference, such as the most classical algorithm CLINK [2], which infers the set of congested links by static Bayesian Network Model (BNM).
A static Bayesian Network can be extended to a Dynamic Belief Network by introducing relevant temporal dependencies between the representations of the static network at different times.
We processed the dataset for other wells in the same way to build a static Bayesian network (BN) representing each well.