100 citations · 207 across the 28 of their papers we have counts for
4 papers · 1 filter
Hard and Soft EM in Bayesian Network Learning from Incomplete Data
Andrea Ruggieri, Francesco Stranieri, Fabio Stella +1
Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their grap…
A Bayesian Hierarchical Score for Structure Learning from Related Data Sets
Laura Azzimonti, Giorgio Corani, Marco Scutari
Score functions for learning the structure of Bayesian networks in the literature assume that data are a homogeneous set of observations; whereas it is often the case that they com…
A Constraint-Based Algorithm for the Structural Learning of Continuous-Time Bayesian Networks
Alessandro Bregoli, Marco Scutari, Fabio Stella
Dynamic Bayesian networks have been well explored in the literature as discrete-time models: however, their continuous-time extensions have seen comparatively little attention. In…
Learning Bayesian Networks from Incomplete Data with the Node-Average Likelihood
Tjebbe Bodewes, Marco Scutari
Bayesian network (BN) structure learning from complete data has been extensively studied in the literature. However, fewer theoretical results are available for incomplete data, an…