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Bayesian network

Known as: Bayesian belief network, Belief networks, Bayes net 
A Bayesian network, Bayes network, belief network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical… Expand
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Related topics

Related topics

50 relations
Abductive reasoningArtificial IntelligenceBayesian programmingBioinformatics
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
Introduction to Bayesian Networks
Reasoning with incomplete and unreliable information is a central characteristic of decision making, for example in industry… Expand
Highly Cited
2007
Highly Cited
2007
Learning Bayesian networks
Preface. I. BASICS. 1. Introduction to Bayesian Networks. 2. More DAG/Probability Relationships. II. INFERENCE. 3. Inference… Expand
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Highly Cited
2004
Highly Cited
2004
Bayesian Network Classifiers
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of… Expand
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Review
2004
Review
2004
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
We describe a Bayesian approach for learning Bayesian networks from a combination of prior knowledge and statistical data. First… Expand
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Highly Cited
2004
Highly Cited
2004
Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks
In many multivariate domains, we are interested in analyzing the dependency structure of the underlying distribution, e.g… Expand
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Highly Cited
2001
Highly Cited
2001
Bayesian Networks and Decision Graphs
  • F. Jensen
  • Statistics for Engineering and Information…
  • 2001
    • Corpus ID: 42979791
Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under… Expand
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Highly Cited
2000
Highly Cited
2000
Using Bayesian Networks to Analyze Expression Data
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a… Expand
Highly Cited
1998
Highly Cited
1998
Bayesian Networks
  • J. Pearl
  • Encyclopedia of Social Network Analysis and…
  • 1998
    • Corpus ID: 987758
Probabilistic models based on directed acyclic graphs (DAGs) have a long and rich tradition, which began with the geneticist… Expand
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Highly Cited
1996
Highly Cited
1996
An introduction to Bayesian networks
Computational modelling of probability has become a major part of automated decision support systems. In this book, the principal… Expand
Highly Cited
1995
Highly Cited
1995
Bayesian learning for neural networks
From the Publisher: Artificial "neural networks" are now widely used as flexible models for regression classification… Expand
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