Multiview Variational Sparse Gaussian Processes

IEEE transactions on neural networks and learning systems, pp. 1-11, 2020.

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Abstract:

Gaussian process (GP) models are flexible nonparametric models widely used in a variety of tasks. Variational sparse GP (VSGP) scales GP models to large data sets by summarizing the posterior process with a set of inducing points. In this article, we extend VSGP to handle multiview data. We model each view with a VSGP and augment it with ...More

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