article Open AccessTop 1% cited
A Bayesian method for the induction of probabilistic networks from data
Machine Learning · 1992 · Vol. 9(4) · pp. 309–347
Gregory F. Cooper✉(University of Pittsburgh Medical Center)Edward H. Herskovits(Maryland Medical Research Institute)
Bayesian Modeling and Causal InferenceData Quality and ManagementAI-based Problem Solving and PlanningBayesian networkProbabilistic logicComputer scienceInferenceMachine learningArtificial intelligenceFocus (optics)Missing dataLatent variableVariable-order Bayesian network
Citations
2,337
FWCI
22.76
field-weighted impact
References
75
Percentile
100%
vs. same field & year
Citations per year
Cited by
Bayesian Network Classifiers
Machine Learning · 1997 · 4,702 citations
Learning Bayesian networks: The combination of knowledge and statistical data
Machine Learning · 1995 · 2,034 citations
Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks
Machine Learning · 2003 · 806 citations
A Bayesian Method for the Induction of Probabilistic Networks from Data
Machine Learning · 1992 · 3,490 citations
Multitask Learning
Machine Learning · 1997 · 6,162 citations
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
Machine Learning · 1995 · 3,203 citations
The max-min hill-climbing Bayesian network structure learning algorithm
Machine Learning · 2006 · 1,797 citations
References
Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1988 · 3,933 citations
Approximating discrete probability distributions with dependence trees
IEEE Transactions on Information Theory · 1968 · 2,618 citations
Classification and regression trees
European Journal of Operational Research · 1985 · 10,158 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.