Gaussian Process Neural Net

A Gaussian Process Neural Net is a deep belief network that is based on Gaussian process mappings.

• See: Gaussian Embedding, Gaussian Mixture Model.

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References

2013

• (Damianou & Lawrence, 2013) ⇒ Andreas C Damianou, and Neil D Lawrence. (2013). “Deep Gaussian Processes..” In: AISTATS.
  • QUOTE: In this paper we introduce deep Gaussian process (GP) models. Deep GPs are a deep belief network based on Gaussian process mappings. The data is modeled as the output of a multivariate GP.

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