question archive Suppose we generate a training data set from a given Bayesian network and then we learn a Bayesian network from the generated training set
Suppose we generate a training data set from a given Bayesian network and then we learn a Bayesian network from the generated training set
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Suppose we generate a training data set from a given Bayesian network and then we learn a Bayesian network from the generated training set. Will the learning algorithm eventually return the same Bayesian network that we used to generate the training data as the size of the training set goes to infinity? Explain your answer.
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