Machine Learning with Gaussian Processes

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at OxWaSP Symposium, University of Warwick on Jan 29, 2016 [pdf]
Neil D. Lawrence, University of Sheffield

Abstract

Gaussian processes (GPs) provide a principled probabilistic approach to prior probability distributions for functions. In this talk we will give an overview of some uses of GPs and their extensions. In particular we will introduce mechanistic models alongside GPs and also use GPs within the framework of latent variable models.

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