Billow is a Prolog program facilitating dry-run parameter estimation experiments over Stochastic Logic Programs.
This software runs on Unix like systems under SICStus 3.9.1 or Yap 4.3.23 and it is distributed in Prolog-source form

Billow depends on the Pepl implementation of the FAM ([1]) algorithn, version 0:0:4 or later.
This can be obtained from here. (Install Pepl and Billow in the same directory.)

Current version is available from this location: billow-0_0_3-2003ab28.tgz Gunzip, untar, cd to the newly created directory.
Look around and then read doc/user_guide.ps. An example of using the software is described in [2] and [3].

Acknowledgments
This work was supported partly by the ESPRIT IST project ``Application of Probabilistic Inductive Logic Programming (APRIL)'', (Grant reference IST-2001-33053) and the BBSRC/EPSRC Bio-informatics and E-Science Programme, ``Studying Biochemical networks using probabilistic knowledge discovery'' (Grant reference 28/BEP17011).


References:
Failure Adjusted Maximasation explained :
[1] James Cussens. Parameter estimation in stochastic logic programs. Machine Learning, 44(3):245-271, 2001
Example application for the software :
[2] Nicos Angelopoulos and Stephen Muggleton. Machine learning metabolic pathway descriptions using a probabilistic relational representation.
In Machine Intelligence 19, September 18-20 2002.
[3] Nicos Angelopouloos and Stephen Muggleton. SLPs for probabilistic pathways: Modelling and parameter estimation.
Technical report, Department of Computing, Imperial College, London, 2002.


Last update 2003-07-11, Nicos Angelopoulos