Distance Dependent Infinite Latent Feature Models

Latent feature models are widely used to decompose data into a small number of components. Bayesian nonparametric variants of these models, which use the Indian buffet process (IBP) as a prior over latent features, allow the number of features to be determined from the data. We present a generalizat...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 37(2015), 2 vom: 01. Feb., Seite 334-45
Auteur principal:	Gershman, Samuel J (Auteur)
Autres auteurs:	Frazier, Peter I, Blei, David M
Format:	Article en ligne
Langue:	English
Publié:	2015
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.