Upper Bound of Bayesian Generalization Error in Non-negative Matrix Factorization

13 Dec 2016 Naoki Hayashi Sumio Watanabe

Non-negative matrix factorization (NMF) is a new knowledge discovery method that is used for text mining, signal processing, bioinformatics, and consumer analysis. However, its basic property as a learning machine is not yet clarified, as it is not a regular statistical model, resulting that theoretical optimization method of NMF has not yet established... (read more)

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