Learning discrete Bayesian networks in polynomial time and sample complexity

12 Mar 2018 Adarsh Barik Jean Honorio

In this paper, we study the problem of structure learning for Bayesian networks in which nodes take discrete values. The problem is NP-hard in general but we show that under certain conditions we can recover the true structure of a Bayesian network with sufficient number of samples... (read more)

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