Bayesian Inference for Nonnegative Matrix Factorisation Models

We describe nonnegative matrix factorisation (NMF) with a Kullback-Leibler (KL) error measure in a statistical framework, with a hierarchical generative model consisting of an observation and a prior component. Omitting the prior leads to the standard KL-NMF algorithms as special cases, where maximu...

Descripción completa

Detalles Bibliográficos
Autor principal: Cemgil, Ali Taylan
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2688815/
https://www.ncbi.nlm.nih.gov/pubmed/19536273
http://dx.doi.org/10.1155/2009/785152

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2688815/
https://www.ncbi.nlm.nih.gov/pubmed/19536273
http://dx.doi.org/10.1155/2009/785152

Ejemplares similares