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Reconstructing the Magnetic Field in an Arbitrary Domain via Data-driven Bayesian Methods and Numerical Simulations.
Georgios E. Pavlou
Vasiliki Pavlidou
Vagelis Harmandaris
Published in:
CoRR (2024)
Keyphrases
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numerical simulations
magnetic field
bayesian methods
data driven
theoretical analysis
eddy current
model selection
gaussian processes
bayesian framework
hyperparameters
machine learning
upper bound
resonant frequency