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Hu et al., 2015 - Google Patents

Scalable bayesian non-negative tensor factorization for massive count data

Hu et al., 2015

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Document ID
11435115571278168340
Author
Hu C
Rai P
Chen C
Harding M
Carin L
Publication year
Publication venue
Joint European Conference on Machine Learning and Knowledge Discovery in Databases

External Links

Snippet

We present a Bayesian non-negative tensor factorization model for count-valued tensor data, and develop scalable inference algorithms (both batch and online) for dealing with massive tensors. Our generative model can handle overdispersed counts as well as infer the …
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