BNet is an exact Bayesian inference library for C++.
This library implements the junction tree algorithm for discrete variable Bayesian networks.
Examples are provided to illustrate its capabilities.
Installation:
type 'make' to compile everything
type 'make doc' to compile the documentation (then you will have doc/BNET.pdf)
you will need a properly installed Linux system.
Requirements : gcc C++ compiler, latex (for the documentation)
It has been tested on Debian i(32 bits, P3) with gcc 3.3.5 and Fedora Core 4 (32 bits, Sempron) with gcc 4.0.1.
As usual, your mileage may vary. Please report bugs to david.bellot@gmail.com if it fails to compile.
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