Multiview Variational Sparse Gaussian Processes.

IEEE Transactions on Neural Networks and Learning Systems(2021)

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摘要
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 an additional set of inducing points. These VSGPs are couple...
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关键词
Computational modeling,Task analysis,Kernel,Bayes methods,Gaussian processes,Supervised learning,Data models
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