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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...
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| Formato: | Texto |
| Lenguaje: | English |
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Hindawi Publishing Corporation
2009
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| 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 |