A Bayesian Method for the Induction of Probabilistic Networks from Data

Gregory F. Cooper; Edward H. Herskovits

doi:https://doi.org/10.1023/a:1022649401552

A Bayesian Method for the Induction of Probabilistic Networks from Data

1992 · Machine Learning · 3,530 citations · 10 from inside this corpus

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20 of 20 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

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Citation edge evidence

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Multitask Learning→A Bayesian Method for the Induction of Probabilistic Networks from DataLegacy edge — source detail unavailable
Bayesian Network Classifiers→A Bayesian Method for the Induction of Probabilistic Networks from DataLegacy edge — source detail unavailable
Causation, Prediction, and Search→A Bayesian Method for the Induction of Probabilistic Networks from DataLegacy edge — source detail unavailable
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data→A Bayesian Method for the Induction of Probabilistic Networks from DataLegacy edge — source detail unavailable
Estimating Continuous Distributions in Bayesian Classifiers→A Bayesian Method for the Induction of Probabilistic Networks from DataLegacy edge — source detail unavailable
Dynamic bayesian networks: representation, inference and learning→A Bayesian Method for the Induction of Probabilistic Networks from DataLegacy edge — source detail unavailable
Learning Bayesian networks: The combination of knowledge and statistical data→A Bayesian Method for the Induction of Probabilistic Networks from DataLegacy edge — source detail unavailable
The max-min hill-climbing Bayesian network structure learning algorithm→A Bayesian Method for the Induction of Probabilistic Networks from DataLegacy edge — source detail unavailable
Learning Bayesian Networks with the bnlearn R Package→A Bayesian Method for the Induction of Probabilistic Networks from DataLegacy edge — source detail unavailable
A Tutorial on Learning with Bayesian Networks→A Bayesian Method for the Induction of Probabilistic Networks from DataLegacy edge — source detail unavailable
A Bayesian Method for the Induction of Probabilistic Networks from Data→Classification and Regression Trees.Legacy edge — source detail unavailable
A Bayesian Method for the Induction of Probabilistic Networks from Data→Induction of Decision TreesLegacy edge — source detail unavailable
A Bayesian Method for the Induction of Probabilistic Networks from Data→Induction of decision treesLegacy edge — source detail unavailable
A Bayesian Method for the Induction of Probabilistic Networks from Data→Local Computations with Probabilities on Graphical Structures and Their Application to Ex…Legacy edge — source detail unavailable
A Bayesian Method for the Induction of Probabilistic Networks from Data→Probabilistic Reasoning in Intelligent SystemsLegacy edge — source detail unavailable
A Bayesian Method for the Induction of Probabilistic Networks from Data→A Bayesian method for the induction of probabilistic networks from dataLegacy edge — source detail unavailable
A Bayesian Method for the Induction of Probabilistic Networks from Data→Fusion, propagation, and structuring in belief networksLegacy edge — source detail unavailable
A Bayesian Method for the Induction of Probabilistic Networks from Data→Optimal Statistical Decisions.Legacy edge — source detail unavailable
A Bayesian Method for the Induction of Probabilistic Networks from Data→Connectionist learning proceduresLegacy edge — source detail unavailable
A Bayesian Method for the Induction of Probabilistic Networks from Data→Uncertainty in Artificial IntelligenceLegacy edge — source detail unavailable
Learning Bayesian networks: The combination of knowledge and statistical data→Causation, Prediction, and SearchLegacy edge — source detail unavailable
Learning Bayesian networks: The combination of knowledge and statistical data→A Bayesian method for the induction of probabilistic networks from dataLegacy edge — source detail unavailable
Local Computations with Probabilities on Graphical Structures and Their Application to Ex…→Uncertainty in Artificial IntelligenceLegacy edge — source detail unavailable
Local Computations with Probabilities on Graphical Structures and Their Application to Ex…→Fusion, propagation, and structuring in belief networksLegacy edge — source detail unavailable
Local Computations with Probabilities on Graphical Structures and Their Application to Ex…→Optimal Statistical Decisions.Legacy edge — source detail unavailable
A Tutorial on Learning with Bayesian Networks→Causation, Prediction, and SearchLegacy edge — source detail unavailable
A Tutorial on Learning with Bayesian Networks→Local Computations with Probabilities on Graphical Structures and Their Application to Ex…Legacy edge — source detail unavailable
A Tutorial on Learning with Bayesian Networks→Fusion, propagation, and structuring in belief networksLegacy edge — source detail unavailable
A Tutorial on Learning with Bayesian Networks→Learning Bayesian Networks: The Combination of Knowledge and Statistical DataLegacy edge — source detail unavailable
Bayesian Network Classifiers→Learning Bayesian networks: The combination of knowledge and statistical dataLegacy edge — source detail unavailable
Bayesian Network Classifiers→Estimating Continuous Distributions in Bayesian ClassifiersLegacy edge — source detail unavailable
Bayesian Network Classifiers→Learning Bayesian Networks: The Combination of Knowledge and Statistical DataLegacy edge — source detail unavailable
Bayesian Network Classifiers→A Bayesian method for the induction of probabilistic networks from dataLegacy edge — source detail unavailable
Bayesian Network Classifiers→Probabilistic Reasoning in Intelligent SystemsLegacy edge — source detail unavailable
Estimating Continuous Distributions in Bayesian Classifiers→Learning Bayesian networks: The combination of knowledge and statistical dataLegacy edge — source detail unavailable
Dynamic bayesian networks: representation, inference and learning→Causation, Prediction, and SearchLegacy edge — source detail unavailable
Dynamic bayesian networks: representation, inference and learning→A Tutorial on Learning with Bayesian NetworksLegacy edge — source detail unavailable
Dynamic bayesian networks: representation, inference and learning→Learning Bayesian Networks: The Combination of Knowledge and Statistical DataLegacy edge — source detail unavailable
Learning Bayesian Networks with the bnlearn R Package→Causation, Prediction, and SearchLegacy edge — source detail unavailable
Learning Bayesian Networks with the bnlearn R Package→The max-min hill-climbing Bayesian network structure learning algorithmLegacy edge — source detail unavailable
Learning Bayesian Networks with the bnlearn R Package→Learning Bayesian Networks: The Combination of Knowledge and Statistical DataLegacy edge — source detail unavailable
The max-min hill-climbing Bayesian network structure learning algorithm→Learning Bayesian networks: The combination of knowledge and statistical dataLegacy edge — source detail unavailable
The max-min hill-climbing Bayesian network structure learning algorithm→Causation, Prediction, and SearchLegacy edge — source detail unavailable
The max-min hill-climbing Bayesian network structure learning algorithm→Learning Bayesian Networks: The Combination of Knowledge and Statistical DataLegacy edge — source detail unavailable
The max-min hill-climbing Bayesian network structure learning algorithm→A Bayesian method for the induction of probabilistic networks from dataLegacy edge — source detail unavailable
The max-min hill-climbing Bayesian network structure learning algorithm→Probabilistic Reasoning in Intelligent SystemsLegacy edge — source detail unavailable
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data→Causation, Prediction, and SearchLegacy edge — source detail unavailable
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data→A Bayesian method for the induction of probabilistic networks from dataLegacy edge — source detail unavailable
Multitask Learning→Causation, Prediction, and SearchLegacy edge — source detail unavailable
Multitask Learning→Induction of Decision TreesLegacy edge — source detail unavailable
Multitask Learning→Induction of decision treesLegacy edge — source detail unavailable
Multitask Learning→A Bayesian method for the induction of probabilistic networks from dataLegacy edge — source detail unavailable
Connectionist learning procedures→Fusion, propagation, and structuring in belief networksLegacy edge — source detail unavailable
A Bayesian method for the induction of probabilistic networks from data→Local Computations with Probabilities on Graphical Structures and Their Application to Ex…Legacy edge — source detail unavailable
A Bayesian method for the induction of probabilistic networks from data→Fusion, propagation, and structuring in belief networksLegacy edge — source detail unavailable
A Bayesian method for the induction of probabilistic networks from data→Optimal Statistical Decisions.Legacy edge — source detail unavailable
A Bayesian method for the induction of probabilistic networks from data→Connectionist learning proceduresLegacy edge — source detail unavailable
A Bayesian method for the induction of probabilistic networks from data→Probabilistic Reasoning in Intelligent SystemsLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Classification and Regression Trees.	1986	21,044
Induction of Decision Trees	1986	15,020
Induction of decision trees	1986	12,427
Local Computations with Probabilities on Graphical Structures and Their Application to Ex…	1988	3,977
Probabilistic Reasoning in Intelligent Systems	1988	3,339
A Bayesian method for the induction of probabilistic networks from data	1992	2,348
Fusion, propagation, and structuring in belief networks	1986	2,154
Optimal Statistical Decisions.	1971	1,836
Connectionist learning procedures	1989	1,466
Uncertainty in Artificial Intelligence	1992	1,436

What cites it, inside the corpus

Paper	Year	Cited
Multitask Learning	1997	6,478
Bayesian Network Classifiers	1997	4,754
Causation, Prediction, and Search	1993	4,748
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data	1995	3,262
Estimating Continuous Distributions in Bayesian Classifiers	2013	2,925
Dynamic bayesian networks: representation, inference and learning	2002	2,604
Learning Bayesian networks: The combination of knowledge and statistical data	1995	2,045
The max-min hill-climbing Bayesian network structure learning algorithm	2006	1,862
Learning Bayesian Networks with the bnlearn R Package	2010	1,769
A Tutorial on Learning with Bayesian Networks	2008	1,715

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Topics

Bayesian Modeling and Causal Inference	Computer Science
Data Management and Algorithms	Computer Science
Data Mining Algorithms and Applications	Computer Science

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