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...

Descrizione completa

Dettagli Bibliografici
Autori principali: Nielsen, Jens D., Rumí, Rafael, Salmerón Cerdán, Antonio
Natura: info:eu-repo/semantics/report
Lingua:English
Pubblicazione: 2012
Accesso online:http://hdl.handle.net/10835/1551