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Bayesian network, simulation and risk analysis software. Supports exact and approximate inference in hybrid and dynamic networks for decision support, diagnosis, statistical learning and prediction applications.

BNet.Builder is a belief network software application. BNet.EngineKit provides an embeddable engine.

Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods.

A tool for constructing and testing Bayesian networks.

Bayesian network laboratory producing a broad set of tools for structure learning, analysis, adaptive questionnaires, and dynamic Bayesian networks

CISpace tools for learning about belief networks: a set of Java applets and example networks.

Able to learn Bayesian Belief Networks from (possibly incomplete) databases. Algorithm based on the Bound and Collapse estimation method.

Kevin Murphy's MATLAB toolbox - supports dynamic BNs, decision networks, many exact and approximate inference algorithms, parameter estimation, and structure learning

Open-source suite of software tools for research and development using graphical models of probability, published by Kansas State University Laboratory for Knowledge Discovery in Databases (KDD)

Very generic and free (LGPL) Belief Network Framework in C++ - supports a broad range of knowledge and dependency types for network variables and clusters of variables

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

BNet™.Builder is a desktop application for rapidly creating Belief Networks, entering information, and getting results. BNet.EngineKit is a developer toolkit for researchers and engineers to use to embed belief networks in software applications.

Develops and exploits proprietary Relational Bayesian Modeling (RBM) technology and applications that provide real-time, actionable results from large amounts of dynamic, multi-faceted, ambiguous information.

Model selection on graphical models (including belief networks).

BAYDA software implements Bayesian predictive discriminant analysis, where the aim is to build a model for predicting the value of one discrete (class, group, category) variable using other variables.

Open source package for the technical computing language R, developed by Aalborg University and Novo Nordisk A/S - analysis and structure learning of Bayesian networks with discrete and/or continuous variables

A data mining software company that has a fully automated data modeling and predictive analytics package.

A Bayesian network editor and solver. [Windows/Macintosh]

GeNIe is a development environment for building graphical decision-theoretic models running under Windows operating systems. SMILE is its portable inference engine, consisting of a library of C++ classes, currently compiled for Windows, Solaris and Linux.

Developers of the Hugin tool

IKNOW, an interdisciplinary project from the University of Illinois at Urbana-Champaign, helps enhance individuals' ability to access and visualize an organization's knowledge and social capital

PNL is a full function, free, open source, graphical models library released under a BSD style license.

Bayesian networks in Java.

Builds and licenses diagnostic software based upon Bayesian Belief Networks for medical, industrial and management applications. Software includes editors/compilers, test/review tools and inference engines embeddable in stand-alone and web-based applications.

Makers of Analytica, visual software tool for creating, analyzing, and communicating quantitative business models.

Windows program for graphical modelling.

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

Netica is a complete program for working with belief networks and influence diagrams. Feature compiles belief (Bayesian) networks into a junction tree of cliques for fast probabilistic reasoning.

Data mining tool for extracting Bayesian networks from data.

Tool for propagating uncertainty through local computations based on the general framework of valuation systems proposed by Shenoy and Shafer.

Robert Dodier's open source package for distributed, heterogeneous belief networks in Java - allows different conditional distributions

SamIam is a comprehensive tool for modeling and reasoning with Bayesian networks, developed in Java by the Automated Reasoning Group of Professor Adnan Darwiche at UCLA.

WEBWEAVR-III is a Java application that supports the construction of Bayesian networks, inference in standard and dynamic Bayesian networks and decomposable Markov networks, construction and verification of multiply-sectioned Bayesian networks (MSBNs), inference in multi-agent MSBNs, and learning decomposable Markov networks.

Rob Cowell's windows-based system for bayesian network inference and learning.

Proposed XML standard for describing Bayesian belief networks.