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Directory Home  |  Artificial Intelligence  |  Belief Networks

Definition
Artificial Intelligence Belief Network:
A methodological tool for intelligent data analysis, knowledge discovery, and machine learning.

Google

Go to ADVOCATE ADVOCATE: Piloting software for unmanned underwater vehicles.
Main Website: http://advocate.e-motive.com/
Go to Association for Uncertainty in Artificial Intelligence Association for Uncertainty in Artificial Intelligence: Main association for belief network researchers. Runs the annual Uncertainty in Artificial Intelligence (UAI) conferences, and the UAI mailing list.
Main Website: http://www.auai.org/
Go to B-Course - Dependence and classification modeling B-Course - Dependence and classification modeling: A free, interactive tutorial on Bayesian modeling, in particular dependence and classification modeling.
Main Website: http://b-course.cs.helsinki.fi
Go to BayesBuilder BayesBuilder: A tool for constructing and testing Bayesian networks.
Main Website: http://www.mbfys.kun.nl/snn/Research/bayesbuilder/
Go to Belief Networks and Variational Methods : Amos Storkey Belief Networks and Variational Methods : Amos Storkey: Dynamic Trees are mixtures of tree structured belief networks, and are used as models for image segmentation and tracking.
Main Website: http://www.anc.ed.ac.uk/~amos/belief.html
Go to BUGS - Bayesian inference Using Gibbs Sampling BUGS - Bayesian inference Using Gibbs Sampling: Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods.
Main Website: http://www.mrc-bsu.cam.ac.uk/bugs/
Go to CoCo CoCo: Model selection on graphical models (including belief networks).
Main Website: http://www.math.auc.dk/~jhb/CoCo/cocoinfo.html
Go to Complex Systems Computation Group (CoSCo) 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.
Main Website: http://www.cs.Helsinki.FI/research/cosco/Projects/NONE/SW/
Go to Genie/Smile Genie/Smile: 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 Li
Main Website: http://www2.sis.pitt.edu/~genie/
Go to Heart Disease Program Heart Disease Program: Designed to act as an intellectual sounding board, assisting diagnosis and anticipating the effects of therapy for cardiovascular disorders.
Main Website: http://medg.lcs.mit.edu/projects/hf.html
Go to Knowledge Industries, Inc. 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 stand-alone and web-based applica
Main Website: http://www.kic.com
Go to Machine Vision Based Traffic Surveillance Machine Vision Based Traffic Surveillance: Machine Vision Based Traffic Surveillance
Main Website: http://HTTP.CS.Berkeley.EDU/~pm/RoadWatch/index.html
Go to MIM MIM: Windows program for graphical modelling.
Main Website: http://www.hypergraph.dk/
Go to NIPS Workshop on Learning in bayesian networks and other Graphical Models NIPS Workshop on Learning in bayesian networks and other Graphical Models: 1995.
Main Website: http://www.research.microsoft.com/research/nips95bn/
Go to Norsys Software Corp. 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.
Main Website: http://www.norsys.com/netica.html
Go to Pulcinella Pulcinella: Tool for propagating uncertainty through local computations based on the general framework of valuation systems proposed by Shenoy and Shafer.
Main Website: http://iridia.ulb.ac.be/pulcinella/Welcome.html
Go to Qualitative Verbal Explanations in Bayesian Belief Networks Qualitative Verbal Explanations in Bayesian Belief Networks: Paper about combining probabilistic models and human-intuitive approaches to modeling uncertainty by generating qualitative verbal explanations of reasoning.
Main Website: http://www.pitt.edu/~druzdzel/abstracts/aisb.html
Go to Query DAGs: A Practical Paradigm for Implementing Belief-Network Inference Query DAGs: A Practical Paradigm for Implementing Belief-Network Inference: Article published in JAIR (Journal of AI Research) about a way to implement belief networks by compiling networks into arithmetic expressions and then answering queries using an evaluation algorithm.
Main Website: http://www.cs.cmu.edu/afs/cs/project/jair/pub/volume6/darwiche97a-html/jair-f.html
Go to READY: Resource-adaptive Dialog READY: Resource-adaptive Dialog: Monitoring the current cognitive load and time limitations of a user.
Main Website: http://w5.cs.uni-sb.de/~ready/
Go to SERENE: Safety and Risk Evaluation using Bayesian Nets SERENE: Safety and Risk Evaluation using Bayesian Nets: Decision support method and tool for quantifying the safety of complex systems.
Main Website: http://www.hugin.dk/serene/
Go to Software for Manipulating Belief Networks Software for Manipulating Belief Networks: Reviews free and commercial belief network software. No longer updated, but the reviews are comprehensive.
Main Website: http://bayes.stat.washington.edu/almond/belief.html
Go to Special Track on Uncertainty, FLAIRS 2001 Special Track on Uncertainty, FLAIRS 2001: May 21-23 2001. Key West, Florida. FLAIRS seeks to bring together researchers working on issues related to reasoning under uncertainty.
Main Website: http://www.flairs.com
Go to UConn list of Bayesian Network Resources UConn list of Bayesian Network Resources: Eugene Santos' lists of belief network research, papers, systems etc.
Main Website: http://excalibur.brc.uconn.edu/~baynet/
Go to XBAIES XBAIES: Rob Cowell's windows-based system for bayesian network inference and learning.
Main Website: http://www.staff.city.ac.uk/~rgc/webpages/xbpage.html
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