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...
Main Authors: | , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Neural Information Processing Systems Foundation,
2017-12-21T14:36:19Z.
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Subjects: | |
Online Access: | Get fulltext |