Difference between revisions of "GP SSM"

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* A. Svensson, A. Solin, S. Sarkka, T.B. Schon, [[Media:EfficientBayesianLearmingGPSSMs.pdf | Computationall Efficient Bayesian Learning of Gaussian Process State Space Models]]
 
* A. Svensson, A. Solin, S. Sarkka, T.B. Schon, [[Media:EfficientBayesianLearmingGPSSMs.pdf | Computationall Efficient Bayesian Learning of Gaussian Process State Space Models]]
 
* A.C. Damianou, M.K. Titsias, N.D. Lawrence, [[Media:VariationalGPDynSystems.pdf | Variational Gaussian Process Dynamical Systems]]
 
* A.C. Damianou, M.K. Titsias, N.D. Lawrence, [[Media:VariationalGPDynSystems.pdf | Variational Gaussian Process Dynamical Systems]]
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* M.P. Deisenroth, D. Fox, C.E. Rasmussen, [[Media:GPsDataEfficientLearning.pdf | Gaussian Processes for Data-Efficient Learning in Robotics and Control]];
 
* K. Jocikan, [[Media:DynamicGPModelsOverview.pdf | Dynamic GP Models: An Overview and Recent Developments]];
 
* K. Jocikan, [[Media:DynamicGPModelsOverview.pdf | Dynamic GP Models: An Overview and Recent Developments]];

Revision as of 23:33, 27 July 2017

This page gathers references and materials related to the study of "Gaussian Process (GP) State Space Models (SSM)."

Basic Gaussian Process Info

  • Rasmussen and Williams

Papers on GP-SSMs