PDF-StateSpace Inference and Learning with Gaussian Processes Ryan Turner Marc Peter Deisenroth Carl Edward Rasmussen Department of Engineering University of Cambridge Trumpington Street Cambridge CB PZ
We propose a new general metho dology for inference and learning in nonlinear statespace models that are described prob abilistically by nonparametric GP models
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