Overview

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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 [1] and [2].

For installation instructions and user manual please consult the wiki page at https://bitbucket.org/twilp/twilp/wiki/Home

[1] 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.

[2] Janne H. Korhonen and Pekka Parviainen. Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number. NIPS 2015.