Bayesian Inference for Nonnegative Matrix Factorisation Models
نویسندگان
چکیده
منابع مشابه
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 maximum likelihood parameter estimation is carried out via the Expectation-Maximisation (EM) algorithm....
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ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2009
ISSN: 1687-5265,1687-5273
DOI: 10.1155/2009/785152