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Probabilistic network construction using the minimum description length principle

https://doi.org/10.1007/bfb0028180
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Diagnostic systems by model selection: a case study
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Causation, Prediction, and Search
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The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks
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A Bayesian Method for the Induction of Probabilistic Networks from Data
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Counting unlabeled acyclic digraphs
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Journal of the Royal Statistical Society (B)
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Propagating Uncertainty in Bayesian Networks by Probabilistic Logic Sampling
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Causal Networks: Semantics and Expressiveness
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An Introduction to Algorithms for Inference in Belief Nets
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Probabilistic Diagnosis Using a Reformulation of the INTERNIST-1/QMR Knowledge Base
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Toward Normative Expert Systems: Part I The Pathfinder Project
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Approximating discrete probability distributions with dependence trees
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Stochastic Complexity
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Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems
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Stochastic Complexity and Modeling
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Bayesian Analysis in Expert Systems
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Bayesian Graphical Models for Discrete Data
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Causal Networks: Semantics and Expressiveness
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The Recovery of Causal Poly-Trees from Statistical Data

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