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the entire directory
only in Belief_Networks/Software
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Artificial Intelligence
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Belief Networks
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Software
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Computers: Artificial Intelligence: Machine Learning: Software
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Science: Math: Statistics: Bayesian Analysis: Software
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Kevin Murphy's list of Bayesian network software
 Most uptodate list available.
AgenaRisk
 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.
BayesBuilder
 A tool for constructing and testing Bayesian networks.
BayesiaLab
 Bayesian network laboratory producing a broad set of tools for structure learning, analysis, adaptive questionnaires, and dynamic Bayesian networks
Bayesian Network Toolbox (BNT)
 Kevin Murphy's MATLAB toolbox  supports dynamic BNs, decision networks, many exact and approximate inference algorithms, parameter estimation, and structure learning
Bayesian Network tools in Java (BNJ)
 Opensource 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)
Bayesline
 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
Belief Net Power Constructor
 System based on Jie Cheng's threephase belief network construction algorithm. Includes a wizardlike user interface and a belief network construction engine.
BNet Desktop Software and Developer Toolkits
 BNet.Builder is a belief network software application. BNet.EngineKit provides an embeddable engine.
BUGS  Bayesian inference Using Gibbs Sampling
 Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods.
Complex Systems Computation Group (CoSCo)
 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.
DecsionQ Bayesian Predictive Analysis Software
 A data mining software company that has a fully automated data modeling and predictive analytics package.
HUGIN EXPERT  Hugin
 Developers of the Hugin tool
IBAyes
 A probabilistic reasoning tool that allows its user to model uncertain situations and to perform inference using Bayesian networks and its variants such as Influence Nets. The tool is developed by the Artificial Intelligence Lab @ IBA and currently works in Windows environment.
JavaBayes
 Bayesian networks in Java.
Knowledge Industries, Inc.
 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 standalone and webbased applications.
Lumina Decision Systems
 Makers of Analytica, visual software tool for creating, analyzing, and communicating quantitative business models.
MIM
 Windows program for graphical modelling.
Norsys Software Corp.
 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.
Pulcinella
 Tool for propagating uncertainty through local computations based on the general framework of valuation systems proposed by Shenoy and Shafer.
RISO
 Robert Dodier's open source package for distributed, heterogeneous belief networks in Java  allows different conditional distributions
SamIam: Sensitivity Analysis, Modeling, Inference and More
 A tool for modeling and reasoning with Bayesian networks, developed in Java by the Automated Reasoning Group of Professor Adnan Darwiche at UCLA.
WebWEavrIII
 WEBWEAVRIII 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 multiplysectioned Bayesian networks (MSBNs), inference in multiagent MSBNs, and learning decomposable Markov networks.
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Last update: March 14, 2014 at 11:15:08 UTC 
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