TWILP 1.1: TWILP is a software for learning bounded tree-width and bounded vertex cover number Bayesian networks by reducing the problem to integer linear programming (ILP). TWILP is written based on algorithms in  and .
For installation instructions and user manual please consult the wiki page at https://bitbucket.org/twilp/twilp/wiki/Home
 Pekka Parviainen, Hossein Shahrabi Farahani, and Jens Lagergren. Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming. In Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS), 2014.
 Janne H. Korhonen and Pekka Parviainen. Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number. NIPS 2015.