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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...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2008
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| 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 |