Software Belief Networks Artificial Intelligence

Software

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• - System based on Jie Cheng's three-phase belief network construction algorithm. Includes a wizard-like user interface and a belief network construction engine.
  
• - Bayesian networks in Java.
  
• - 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)
  
• - Tool for propagating uncertainty through local computations based on the general framework of valuation systems proposed by Shenoy and Shafer.
  
• - 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.
  
• - Windows program for graphical modelling.
  
• - 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
  
• - Robert Dodier's open source package for distributed, heterogeneous belief networks in Java - allows different conditional distributions
  
• - A tool for constructing and testing Bayesian networks.
  
• - 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
  
• - Able to learn Bayesian Belief Networks from (possibly incomplete) databases. Algorithm based on the Bound and Collapse estimation method.
  
• - A Bayesian network editor and solver. [Windows/Macintosh]
  
• - 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
  
• - 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.
  
• - Bayesian network laboratory producing a broad set of tools for structure learning, analysis, adaptive questionnaires, and dynamic Bayesian networks
  
• - Rob Cowell's windows-based system for bayesian network inference and learning.
  
• - Makers of Analytica, visual software tool for creating, analyzing, and communicating quantitative business models.
  
• - 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.
  
• - Data mining tool for extracting Bayesian networks from data.
  
• - Reviews free and commercial belief network software. No longer updated, but the reviews are comprehensive.
  
• - CISpace tools for learning about belief networks: a set of Java applets and example networks.
  
• - Model selection on graphical models (including belief networks).
  
• - 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), in
  
• - Kevin Murphy's MATLAB toolbox - supports dynamic BNs, decision networks, many exact and approximate inference algorithms, parameter estimation, and structure learning
  
• - Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods.
  
• - 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 applica
  
• - Free Windows software for creation, assessment and evaluation of belief networks.
  
• - Proposed XML standard for describing Bayesian 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.
  
• - A data mining software company that has a fully automated data modeling and predictive analytics package.
  
  

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