155 citations · 155 across the 1 of their papers we have counts for
3 papers
Entropy-based Pruning for Learning Bayesian Networks using BIC
Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani +1
For decomposable score-based structure learning of Bayesian networks, existing approaches first compute a collection of candidate parent sets for each variable and then optimize ov…
Learning Bounded Treewidth Bayesian Networks with Thousands of Variables
Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos +1
We present a method for learning treewidth-bounded Bayesian networks from data sets containing thousands of variables. Bounding the treewidth of a Bayesian greatly reduces the comp…
Should we really use post-hoc tests based on mean-ranks?
Alessio Benavoli, Giorgio Corani, Francesca Mangili
The statistical comparison of multiple algorithms over multiple data sets is fundamental in machine learning. This is typically carried out by the Friedman test. When the Friedman…