SLL - Score-based Local Learning

SLL is a program for local structure learning in Bayesian networks. This includes finding neighbors and Markov blankets for given target nodes. In addition, the program implements two different local-to-global structure learning algorithms for global learning. The algorithms are described in the following article:

Local structure discovery in Bayesian networks T. Niinimäki and P. Parviainen. 28th Conference on Uncertainty in Artificial Intelligence (UAI 2012)

Download the software here: SLL-1.0.tar.gz

See README for more information.

In case of questions, suggestions or general feedback, please contact Teppo Niinimäki.