de.mpg.escidoc.pubman.appbase.FacesBean
Deutsch
 
Hilfe Wegweiser Impressum Kontakt Einloggen
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Konferenzbeitrag

Stick-breaking Construction for the Indian Buffet Process

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons83939

Görür,  D
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

Externe Ressourcen
Es sind keine Externen Ressourcen verfügbar
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Teh, Y., Görür, D., & Ghahramani, Z. (2007). Stick-breaking Construction for the Indian Buffet Process. Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS 2007), 556-563.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-CE7D-C
Zusammenfassung
The Indian buffet process (IBP) is a Bayesian nonparametric distribution whereby objects are modelled using an unbounded number of latent features. In this paper we derive a stick-breaking representation for the IBP. Based on this new representation, we develop slice samplers for the IBP that are efficient, easy to implement and are more generally applicable than the currently available Gibbs sampler. This representation, along with the work of Thibaux and Jordan [17], also illuminates interesting theoretical connections between the IBP, Chinese restaurant processes, Beta processes and Dirichlet processes.