Structural-EM for Learning PDG Models from Incomplete Data

Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by other popular models, such as Bayesian Networks. Furthermore, inference can be carried out efficiently over a PDG, in time...

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Príomhchruthaitheoirí: Nielsen, Jens D., Rumí, Rafael, Salmerón Cerdán, Antonio
Formáid: info:eu-repo/semantics/report
Teanga:English
Foilsithe / Cruthaithe: 2012
Rochtain ar líne:http://hdl.handle.net/10835/1551