Bayesian Structure Learning by Recursive Bootstrap

We address the problem of Bayesian structure learning for domains with hundreds of variables by employing non-parametric bootstrap, recursively. We propose a method that covers both model averaging and model selection in the same framework. The proposed method deals with the main weakness of constra...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Rohekar, Raanan Y, Gurwicz, Yaniv, Nisimov, Shami, Koren, Guy, Novik, Gal
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!