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Generative Model for Heterogeneous Inference
However, the learning and inference of BN model are NP-hard thus the number of stochastic variables in BN is highly constrained.
Using Deep Neural Network Approximate Bayesian Network
We present a new method to approximate posterior probabilities of Bayesian Network using Deep Neural Network.
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