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Training data analysis for Gaussian process state space models
(Universitat Politècnica de Catalunya, 2017-08-31)
Treball Final de Grau
Accés obert
Realitzat a/amb: Technische Universität MünchenGaussian Process State Space Models aim at constructing models of nonlinear dynamical systems capable of quantifying the uncertainty in their predictions. By means of sampling in a noisy environment and covariance functions, ...