UnBBayes Files

Framework & GUI for Bayes Nets and other probabilistic models.

Brought to you by: cardialfly, laecio_lima, mladeira, rommelnc

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
Parent folder
unbbayes-3.8.3-BETA.zip	2008-07-31	23.9 MB	0
Totals: 1 Item		23.9 MB	0

Go to "/UnBBayes Plugin Framework/Core" for the core distribution of UnBBayes.
Go to "/UnBBayes Plugin Framework/Plugins" for a list of its plug-ins.

Source: README.txt, updated 2014-09-18

Other Useful Business Software

Build Securely on AWS with Proven Frameworks

Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.

Download Now

Picsart Enterprise Background Removal API for Stunning eCommerce Visuals

Instantly remove the background from your images in just one click.

With our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.

Learn More

Recommended Projects

Bayesian Network Tools in Java (BNJ)
Java/XML toolkit for research using Bayesian networks and other graphical models of probability (exact and approximate inference, structure learning, etc.)
Bayesian Network tools in Java (BNJ)
Bayesian Network tools in Java (BNJ) is an open-source suite of software tools for research and development using graphical models of probability. It is published by the Kansas State University Laboratory for Knowledge Discovery in Databases (KDD).
RISO: distributed belief networks
RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.
annyang!
Speech recognition for your site

UnBBayes Files

Framework & GUI for Bayes Nets and other probabilistic models.

Get an email when there's a new version of UnBBayes