State-Space Inference and Learning with Gaussian Processes

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Turner, R.; Deisenroth, M.; Rasmussen, C.;
(2010)
  • Publisher: JMLR

State-space inference and learning with Gaussian processes (GPs) is an unsolved problem. We propose a new, general methodology for inference and learning in nonlinear state-space models that are described probabilistically by non-parametric GP models. We apply the expec... View more
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