2016
Enumerating Equivalence Classes of Bayesian Networks using EC Graphs
AISTATS 2016poster
We consider the problem of learning Bayesian network structures from complete data. In particular, we consider the enumeration of their k-best equivalence classes. We propose a new search space for A* search, called the EC graph, that facilitates the enumeration of equivalence classes, by represen…