Directory of Software Resources

Home > Computers > Artificial Intelligence > Belief Networks > Software

Resources in This Category

• AgenaRisk

  http://www.agenarisk.com/
  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.

• BayesiaLab

  http://www.bayesia.com/
  Bayesian network laboratory producing a broad set of tools for structure learning, analysis, adaptive questionnaires, and dynamic Bayesian networks

• Bayesian Network Toolbox (BNT)

  https://github.com/bayesnet/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)

  http://bnj.sourceforge.net/
  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)

• Bayesline

  http://bayesline.sourceforge.net/
  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

• BNet Desktop Software and Developer Toolkits

  http://www.cra.com/bnet
  BNet.Builder is a belief network software application. BNet.EngineKit provides an embeddable engine.

• BUGS - Bayesian inference Using Gibbs Sampling

  http://www.mrc-bsu.cam.ac.uk/bugs/
  Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods.

• Complex Systems Computation Group (CoSCo)

  http://cosco.hiit.fi/
  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

  http://www.decisionq.com/
  A data mining software company that has a fully automated data modeling and predictive analytics package.

• HUGIN EXPERT - Hugin

  http://www.hugin.com/
  Developers of the Hugin tool

• IBAyes

  http://ailab.iba.edu.pk/ibayes.html
  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

  http://www.cs.cmu.edu/~javabayes/Home/
  Bayesian networks in Java.

• Kevin Murphy's list of Bayesian network software

  http://www.ai.mit.edu/~murphyk/Software/bnsoft.html
  Most up-to-date list available.

• Knowledge Industries, Inc.

  http://www.kic.com/
  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.

• Lumina Decision Systems

  http://www.lumina.com/
  Makers of Analytica, visual software tool for creating, analyzing, and communicating quantitative business models.

• MIM

  http://www.hypergraph.dk/
  Windows program for graphical modelling.

• Norsys Software Corp.

  http://www.norsys.com/netica.html
  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.

• RISO

  http://riso.sourceforge.net/
  Robert Dodier's open source package for distributed, heterogeneous belief networks in Java - allows different conditional distributions

• SamIam: Sensitivity Analysis, Modeling, Inference and More

  http://reasoning.cs.ucla.edu/samiam/
  A tool for modeling and reasoning with Bayesian networks, developed in Java by the Automated Reasoning Group of Professor Adnan Darwiche at UCLA.

• WebWEavr-III

  http://www.cis.uoguelph.ca/~yxiang/ww3/
  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.

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• Home > Computers > Artificial Intelligence > Machine Learning > Software
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