Linearly Constrained Gaussian Processes with Boundary Conditions

3 Feb 2020 Markus Lange-Hegermann

One goal in Bayesian machine learning is to encode prior knowledge into prior distributions, to model data efficiently. We consider prior knowledge from systems of linear (partial and ordinary) differential equations together with their boundary conditions... (read more)

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