Marginal AMP chain graphs are a recently introduced family of models that is based on graphs that may have undirected, directed and bidirected edges. They unify and generalize the ...
This work proposes an extended version of the well-known tree-augmented naive Bayes (TAN) classifier where the structure learning step is performed without requiring features to ...
Cassio Polpo de Campos, Giorgio Corani, Mauro Scan...
The Logic of Approximate Entailment (LAE) is a graded counterpart of classical propositional calculus, where conclusions can be drawn that are only approximately correct. This is ...
Gated Bayesian networks (GBNs) are a recently introduced extension of Bayesian networks that aims to model dynamical systems consisting of several distinct phases. In this paper, w...
In this article we study the expressiveness of the different chain graph interpretations. Chain graphs is a class of probabilistic graphical models that can contain two types of ...