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Bayesian network
Known as:
Bayesian belief network
, Belief networks
, Bayes net
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A Bayesian network, Bayes network, belief network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical…
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Related topics
Related topics
50 relations
Abductive reasoning
Artificial Intelligence
Bayesian programming
Bioinformatics
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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
D. Holmes
,
L. Jain
Innovations in Bayesian Networks
2008
Corpus ID: 8367901
Reasoning with incomplete and unreliable information is a central characteristic of decision making, for example in industry…
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Highly Cited
2007
Highly Cited
2007
Learning Bayesian networks
R. Neapolitan
Knowledge Discovery and Data Mining
2007
Corpus ID: 2316614
Preface. I. BASICS. 1. Introduction to Bayesian Networks. 2. More DAG/Probability Relationships. II. INFERENCE. 3. Inference…
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Highly Cited
2006
Highly Cited
2006
The max-min hill-climbing Bayesian network structure learning algorithm
I. Tsamardinos
,
Laura E. Brown
,
C. Aliferis
Machine-mediated learning
2006
Corpus ID: 6887420
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines…
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Highly Cited
2004
Highly Cited
2004
Bayesian Network Classifiers
N. Friedman
,
D. Geiger
,
M. Goldszmidt
Machine-mediated learning
2004
Corpus ID: 930676
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of…
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Review
2004
Review
2004
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
D. Heckerman
,
D. Geiger
,
D. M. Chickering
Machine-mediated learning
2004
Corpus ID: 12224032
We describe a Bayesian approach for learning Bayesian networks from a combination of prior knowledge and statistical data. First…
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Highly Cited
2004
Highly Cited
2004
Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks
N. Friedman
,
D. Koller
Machine-mediated learning
2004
Corpus ID: 2817192
In many multivariate domains, we are interested in analyzing the dependency structure of the underlying distribution, e.g…
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Highly Cited
2001
Highly Cited
2001
Bayesian Networks and Decision Graphs
F. V. 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…
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Review
1998
Review
1998
A Tutorial on Learning with Bayesian Networks
D. Heckerman
Innovations in Bayesian Networks
1998
Corpus ID: 1080631
A Bayesian network is a graphical model that encodes probabilistic relationships among variables of interest. When used in…
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Highly Cited
1996
Highly Cited
1996
An introduction to Bayesian networks
F. V. Jensen
1996
Corpus ID: 61412478
Computational modelling of probability has become a major part of automated decision support systems. In this book, the principal…
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Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Radford M. Neal
1995
Corpus ID: 60809283
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions…
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