A Bayesian network (or a belief network) is a probabilistic graphical model that represents a set of variables and their probabilistic independencies. ...

Belief networks are used to model uncertainty in a domain. The term "belief networks" encompasses a whole range of different but related techniques which ...

Free Windows software for creation, assessment and evaluation of belief networks.

Proposed XML standard for describing Bayesian belief networks.

Software Packages for Graphical Models / Bayesian Networks .... Older belief net programs (c 1996), a list created (but no longer maintained) by Russ Almond ...

The belief network3.1 (BN) is a `causal reasoning' tool that has found .... The `static' belief networks presented in Section 3.2 work with evidence and ...

J Cheng's Bayesian Belief Network Software. BN PowerConstructor: An efficient system that learns Bayesian belief network structures & parameters from data. ...

System based on Jie Cheng's three-phase belief network construction algorithm. Includes a wizard-like user interface and a belief network construction ...

Welcome: Probability Theory and Bayesian Belief Bayesian Networks. A Bayesian Network (also called Bayesian belief network, belief network, Bayesian net, ...

Association for Uncertainty in Artificial Intelligence - Main association for belief network researchers. Runs the annual Uncertainty in Artificial ...

Synopsis: Belief networks[ are an increasingly popular tool for representing uncertainty in artificial intelligence, statistics, and engineering. ...

GeNIe: Nice graphical interface for defining belief networks with discrete variables. Built on top of SMILE, a library of representation and inference ...

requires probabilistic inference with Bayesian belief networks. Simulation .... The stratified simulation method for Bayesian belief networks was initially ...

Expert system software house in construction and execution of Bayesian Belief Networks (also known as Bayesian Networks, Belief Networks, ...

This code is a basic implementation of Judea Pearl's belief propagation algorithm for tree-structured Bayesian belief networks. ...

This library consists of belief networks and decision networks (influence ... A very small belief network for a fictitious medical example about whether a ...

Belief Networks and Variational Methods : Amos Storkey ... Dynamic Trees are mixtures of tree structured belief networks, and are used as models for image ...

Paper about combining probabilistic models and human-intuitive approaches to modeling uncertainty by generating qualitative verbal explanations of ...

Several people have inquired about the availability of examples for use with belief network software. Norsys maintains a Library of Networks to Download in ...

IFR has developed Bayesian Belief Networks to model complex food safety situations along with web-based tools to deliver the models via the Internet.