Supervised Classification Using Probabilistic Decision Graphs

Supervised Classification Using Probabilistic Decision Graphs

A new model for supervised classification based on probabilistic decision graphs is introduced. A probabilistic decision graph (PDG) is a graphical model that efficiently captures certain context specific independencies that are not easily represented by other graphical models traditionally used for...

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Dades bibliogràfiques
Autors principals: Nielsen, Jens D., Rumí, Rafael, Salmerón Cerdán, Antonio
Format: info:eu-repo/semantics/article
Idioma:English
Publicat: 2017
Matèries:
Supervised Classification
Graphical Models
Probabilistic decision graphs
Accés en línia:http://hdl.handle.net/10835/4888
https://doi.org/10.1016/j.csda.2008.11.003

Internet

http://hdl.handle.net/10835/4888
https://doi.org/10.1016/j.csda.2008.11.003

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