arXiv (OAI Expanded)
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Bayesian optimization with kernel ensembles and disagreement-based acquisition for source localization and acoustic inversion
Joint source localization and geoacoustic inversion requires optimizing an objective built from an expensive normal mode propagation model. Bayesian optimization (BO) with a Gaussian process (GP) surrogate can obtain accurate parameter estimates within a limited number of forward model evaluations,
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