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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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Papers overview

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Highly Cited
2008
Highly Cited
2008
Reasoning with incomplete and unreliable information is a central characteristic of decision making, for example in industry… Expand
Highly Cited
2007
Highly Cited
2007
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
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
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
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
  • 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
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a… Expand
Highly Cited
1998
Highly Cited
1998
  • 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
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
From the Publisher: Artificial "neural networks" are now widely used as flexible models for regression classification… Expand