Welcome to
Data On Stage.com
This site is dedicated to providing
resources for Bayesian Networks and related techniques.
What are Bayesian Networks?
Bayesian Networks (BNs) are a tool for modeling systems containing
uncertainty that has gained much popularity in recent years. BNs
use
tools from probability theory (primarily Bayes' theorem, which gave
them their name) to solve various tasks in the areas of data mining and
artificial intelligence.
For more information, see
LinkStrength
/ LinkConnectionStrength Package
So far the primary contribution of this site is a visualization tool for link strength and
connection strength in discrete Bayesian Networks.
Description:
The LinkStrength /
LinkConnectionStrength package calculates and visualizes link
strengths and connection strengths in discrete Bayesian Networks.
Measures include Entropy, Mutual Information, True Average Link
Strength and
Blind Average Link Strength.
Implementations of this package are available for
- PNL
-
Intel's
Open-Source Probabilistic Networks
Library:
- BNT
- Matlab's Bayes Net Toolbox
MarkovEquivalent
Package
Description:
The MarkovEquivalent package contains a
few functions to generate
- all DAGs represented by a pattern (partially oriented DAG) or
- all DAGs that are Markov equivalent to a DAG.
Implementation of this package is available only for
BNT
(Matlab's
Bayes Net Toolbox) at MarkovEquivalent
Package.
This site and its content are
maintained by
Imme Ebert-Uphoff (ebert at
me . gatech
. edu).
Page
last updated: November 2007