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Identification of Gaussian Process State-Space Models with Particle
  Stochastic Approximation EM

Identification of Gaussian Process State-Space Models with Particle Stochastic Approximation EM

17 December 2013
R. Frigola
Fredrik Lindsten
Thomas B. Schon
C. Rasmussen
ArXiv (abs)PDFHTML

Papers citing "Identification of Gaussian Process State-Space Models with Particle Stochastic Approximation EM"

4 / 4 papers shown
Title
The Use of Gaussian Processes in System Identification
The Use of Gaussian Processes in System Identification
Simo Särkkä
GPAI4TS
50
10
0
13 Jul 2019
Learning dynamical systems with particle stochastic approximation EM
Learning dynamical systems with particle stochastic approximation EM
Andreas Svensson
Fredrik Lindsten
105
9
0
25 Jun 2018
Computationally Efficient Bayesian Learning of Gaussian Process State
  Space Models
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models
Andreas Svensson
Arno Solin
Simo Särkkä
Thomas B. Schon
88
57
0
07 Jun 2015
Variational Inference for Uncertainty on the Inputs of Gaussian Process
  Models
Variational Inference for Uncertainty on the Inputs of Gaussian Process Models
Andreas C. Damianou
Michalis K. Titsias
Neil D. Lawrence
96
25
0
08 Sep 2014
1