Learning Bayesian Networks with Incomplete Data by Augmentation.
national conference on artificial intelligence, (2017): 1684-1690
We present new algorithms for learning Bayesian networks from data with missing values using a data augmentation approach. An exact Bayesian network learning algorithm is obtained by recasting the problem into a standard Bayesian network learning problem without missing data. To the best of our knowledge, this is the first exact algorithm...More
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