Bayesian network constraint-based structure learning algorithms: parallel and optimized implementations in the bnlearn R Package
It is well known in the literature that the problem of learning the structure of Bayesian networks is very hard to tackle: Its computational complexity is super-exponential in the number of nodes in the worst case and polynomial in most real-world scenarios.Efficient implementations of score-based s...
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| Format: | Journal article |
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Foundation for Open Access Statistics
2017
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