Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm
Learning Bayesian networks is often cast as an optimization problem, where the computational task is to find a structure that maximizes a statistically motivated score. By and large, existing learning tools address this optimization problem using sta…
Authors: Nir Friedman, Iftach Nachman, Dana Peer
: L l I.
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