Scalable Sprase Bayesian Nonparametric and Matrix Tri-factorization Models for Text Mining Applications
Hierarchical Bayesian Models and Matrix factorization methods provide an unsupervised way to learn latent components of data from the grouped or sequence data. For example, in document data, latent component corn-responds to topic with each topic as a distribution over a note vocabulary of words. Fo...
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Language: | en_US |
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2018
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Online Access: | http://etd.iisc.ernet.in/2005/3593 http://etd.iisc.ernet.in/abstracts/4462/G28208-Abs.pdf |