Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior.

Thomas Beckers Jacob H. Seidman Paris Perdikaris George J. Pappas

Published in: CoRR (2023)

Keyphrases

similarity measure
bayesian learning
gaussian process
model selection
hyperparameters
gaussian processes
posterior distribution
regression model
pairwise
semi supervised
approximate inference
machine learning
prior knowledge
parameter estimation