Bayesian Decision Making Toolbox

This project aims to provide a C++ implementation of basic and advanced algorithms for Bayesian identification, filtering and decision-making.

It is being developed at department of Adaptive Systems of Institute of Information Theory and Automation.

It is licensed under the GPL license and its development is as open as possible.

Starting Points

• Doxygen generated documentation for:
  • BDM Library basic C++ classes
  • BDMToolbox Matlab Toolbox using BDM library

• Tutorial -- See examples how to use the toolbox
• Download code using any subversion client from: http://mys.utia.cas.cz:1800/svn/bdm using guest/guest as login/password .
• Library structure -- Basic information about the structure of the main library directory.

• Scientific Publications which had experiments done in BDM

Licensing

• GPL in most cases
• If you are interested in other license contact smidl at utia dot cas dot cz