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IJAR
2016
39views more  IJAR 2016»
8 years 5 months ago
Learning marginal AMP chain graphs under faithfulness revisited
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 ...
Jose M. Peña, Manuel Gómez-Olmedo
IJAR
2016
68views more  IJAR 2016»
8 years 5 months ago
Learning extended tree augmented naive structures
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...
IJAR
2016
42views more  IJAR 2016»
8 years 5 months ago
Logics for Approximate Entailment in ordered universes of discourse
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 ...
Thomas Vetterlein, Francesc Esteva, Lluis Godo
IJAR
2016
36views more  IJAR 2016»
8 years 5 months ago
Gated Bayesian networks for algorithmic trading
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...
Marcus Bendtsen, Jose M. Peña
IJAR
2016
39views more  IJAR 2016»
8 years 5 months ago
On expressiveness of the chain graph interpretations
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 ...
Dag Sonntag, Jose M. Peña