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.

Features

  • Bayesian inference
  • Unified prediction and diagnosis
  • Engineering applications
  • Distributed belief networks
  • Heterogeneous belief networks
  • Java

Project Activity

See All Activity >

License

GNU General Public License version 2.0 (GPLv2)

Follow RISO: distributed belief networks

RISO: distributed belief networks Web Site

Other Useful Business Software
Build Securely on AWS with Proven Frameworks Icon
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
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of RISO: distributed belief networks!

Additional Project Details

Languages

English

Intended Audience

Science/Research

Programming Language

Java, Python

Related Categories

Python Artificial Intelligence Software, Python Mathematics Software, Python Information Analysis Software, Java Artificial Intelligence Software, Java Mathematics Software, Java Information Analysis Software

Registered

2002-03-31