Who Cited It

Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems

1988 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 3,977 citations · 12 from inside this corpus

Steffen L. Lauritzen, David J. Spiegelhalter

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Local Computations with Probabilities on Graphical Structures and Their Application to Ex… (1988)Local Computations with Proba…Learning representations by back-propagating errors (1986)Learning representations by b…A Mathematical Theory of Evidence (1976)A Mathematical Theory of Evid…A logic for default reasoning (1980)A logic for default reasoningThe Statistical Analysis of Compositional Data (1988)The Statistical Analysis of C…Fusion, propagation, and structuring in belief networks (1986)Fusion, propagation, and stru…Optimal Statistical Decisions. (1971)Optimal Statistical Decisions.Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Pr… (1986)Rule-Based Expert Systems: Th…The Handbook of Artificial Intelligence (1982)The Handbook of Artificial In…Uncertainty in Artificial Intelligence (1992)Uncertainty in Artificial Int…Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (1988)Probabilistic Reasoning in In…Bayesian Networks and Decision Graphs (2007)Bayesian Networks and Decisio…Variational Inference: A Review for Statisticians (2017)Variational Inference: A Revi…A Bayesian Method for the Induction of Probabilistic Networks from Data (1992)A Bayesian Method for the Ind…Graphical Models, Exponential Families, and Variational Inference (2007)Graphical Models, Exponential…Causal diagrams for empirical research (1995)Causal diagrams for empirical…A Bayesian method for the induction of probabilistic networks from data (1992)A Bayesian method for the ind…Variational Inference: A Review for Statisticians (2023)Variational Inference: A Revi…The computational complexity of probabilistic inference using bayesian belief networks (1990)The computational complexity …Variational Algorithms for Approximate Bayesian Inference (2003)Variational Algorithms for Ap…A Tutorial on Learning with Bayesian Networks (2008)A Tutorial on Learning with B…Adaptive Computation and Machine Learning (2012)Adaptive Computation and Mach…
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What this paper cites, inside the corpus

PaperYearCited
Learning representations by back-propagating errors198631,688
A Mathematical Theory of Evidence19768,967
A logic for default reasoning19803,943
The Statistical Analysis of Compositional Data19883,413
Fusion, propagation, and structuring in belief networks19862,154
Optimal Statistical Decisions.19711,836
Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Pr…19861,714
The Handbook of Artificial Intelligence19821,709
Uncertainty in Artificial Intelligence19921,436

What cites it, inside the corpus

PaperYearCited
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference198816,981
Bayesian Networks and Decision Graphs20074,152
Variational Inference: A Review for Statisticians20173,843
A Bayesian Method for the Induction of Probabilistic Networks from Data19923,530
Graphical Models, Exponential Families, and Variational Inference20073,171
Causal diagrams for empirical research19952,353
A Bayesian method for the induction of probabilistic networks from data19922,348
Variational Inference: A Review for Statisticians20232,169
The computational complexity of probabilistic inference using bayesian belief networks19901,955
Variational Algorithms for Approximate Bayesian Inference20031,736
A Tutorial on Learning with Bayesian Networks20081,715
Adaptive Computation and Machine Learning20121,437

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Topics

Bayesian Modeling and Causal InferenceComputer Science
AI-based Problem Solving and PlanningComputer Science
Logic, Reasoning, and KnowledgeComputer Science

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