Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
Reasoning with incomplete and unreliable information is a central characteristic of decision making, for example in industry… 
Highly Cited
2007
Highly Cited
2007
  • 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… 
Highly Cited
2006
Highly Cited
2006
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines… 
Highly Cited
2004
Highly Cited
2004
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of… 
Review
2004
Review
2004
We describe a Bayesian approach for learning Bayesian networks from a combination of prior knowledge and statistical data. First… 
Highly Cited
2004
Highly Cited
2004
In many multivariate domains, we are interested in analyzing the dependency structure of the underlying distribution, e.g… 
Highly Cited
2001
Highly Cited
2001
  • 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… 
Review
1998
Review
1998
  • 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… 
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… 
Highly Cited
1995
Highly Cited
1995
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions…