Modelling relational data using Bayesian clustered tensor factorization

We consider the problem of learning probabilistic models for complex relational structures between various types of objects. A model can help us "understand" a dataset of relational facts in at least two ways, by finding interpretable structure in the data, and by supporting predictions, o...

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Bibliographic Details
Main Authors: Sutskever, Ilya (Author), Tenenbaum, Joshua B. (Author), Salakhutdinov, Ruslan (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor)
Format: Article
Language:English
Published: Neural Information Processing Systems Foundation, 2017-12-21T14:36:19Z.
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