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Deep Gaussian Processes

Deep Gaussian Processes

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Andreas C. Damianou Neil D. Lawrence Dept. of Computer Science & Sheffield Institute for Translational Neuroscience, University of Sheffield, UK Abstract In this paper we introduce deep Gaussian process (GP) models. Deep GPs are a deep belief net-work based on Gaussian process mappings. The data is modeled as the output of a multivariate GP.

  Process, Line, Gaussian, Gaussian process

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