Nonnegative Matrix Factorization with Gaussian Process Priors

We present a general method for including prior knowledge in a nonnegative matrix factorization (NMF), based on Gaussian process priors. We assume that the nonnegative factors in the NMF are linked by a strictly increasing function to an underlying Gaussian process specified by its covariance functi...

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Detalles Bibliográficos
Autores principales: Schmidt, Mikkel N., Laurberg, Hans
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2008
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367383/
https://www.ncbi.nlm.nih.gov/pubmed/18464923
http://dx.doi.org/10.1155/2008/361705

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367383/
https://www.ncbi.nlm.nih.gov/pubmed/18464923
http://dx.doi.org/10.1155/2008/361705

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