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Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
Machine Learning · 1995 · Vol. 20(3) · pp. 197–243
David Heckerman✉(Microsoft Research (United Kingdom))Dan Geiger(Technion – Israel Institute of Technology)David M. Chickering(Microsoft (United States))
Bayesian Modeling and Causal InferenceData Quality and ManagementMulti-Criteria Decision MakingPrior probabilityComputer scienceBayesian networkEquivalence (formal languages)Artificial intelligenceMachine learningBayesian probabilityPosterior probabilityConditional independenceHeuristic
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References
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Machine Learning · 1992 · 3,490 citations
Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm
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Equation of State Calculations by Fast Computing Machines
The Journal of Chemical Physics · 1953 · 36,613 citations
Approximating discrete probability distributions with dependence trees
IEEE Transactions on Information Theory · 1968 · 2,618 citations
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American Mathematical Monthly · 1968 · 2,621 citations
A Bayesian method for the induction of probabilistic networks from data
Machine Learning · 1992 · 2,337 citations
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