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Showing 1 to 2 of 2 for “"Gaussian Process surrogate model"”.
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Bayesian robust optimisation of buckling loads of trusses with random imperfections
… we apply the Bayesian optimisation with a Gaussian process surrogate model and the iterative domain shrinkage scheme for the described robust optimisation problem. Compared to traditional gradient-based optimisation approaches, Bayesian optimisation is exceptionally well suited for …
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Scalable Estimation and Testing for Complex, High-Dimensional Data
… mutation rates of a generalized birth-death process based on fluctuation experimental data and estimating the parameters of targets based on foliage echoes. The second part focuses on functional testing. We consider using multiple testing in basis-space via p-value guided compression. Our …