Probabilistic Latent-Factor Database Models

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
In this paper, the authors describe a general framework for modelling probabilistic databases using factorization approaches. The framework includes tensor-based approaches which have been very successful in modelling triple-oriented databases and also includes recently developed neural network models. They consider the case that the target variable models the existence of a tuple, a continuous quantity associated with a tuple, multi-class variables or count variables. They discuss appropriate cost functions with different parameterizations and optimization approaches.
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