102 citations · 102 across the 3 of their papers we have counts for
3 papers
cs.AI2013
Belief Maintenance in Bayesian Networks
Marco Ramoni, Alberto Riva
Bayesian Belief Networks (BBNs) are a powerful formalism for reasoning under uncertainty but bear some severe limitations: they require a large amount of information before any rea…
cs.AI2013★ 102 cited
Learning Bayesian Networks from Incomplete Databases
Marco Ramoni, Paola Sebastiani
Bayesian approaches to learn the graphical structure of Bayesian Belief Networks (BBNs) from databases share the assumption that the database is complete, that is, no entry is repo…
cs.AI2013
Decision Theoretic Foundations of Graphical Model Selection
Paola Sebastiani, Marco Ramoni
This paper describes a decision theoretic formulation of learning the graphical structure of a Bayesian Belief Network from data. This framework subsumes the standard Bayesian appr…