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machine learning

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Cost-aware Adaptive Sampling for Global Metamodeling Using Voronoi Tessellation

We introduce a novel Voronoi-based cost-aware adaptive sampling algorithm for global metamodeling that is independent of the choice of sampling strategy and metamodel. The method is evaluated on a variety of randomly generated black-box and cost functions, where it has shown to vastly outperform existing sampling strategies.

By Lucas Alber, 2 weeksNovember 15, 2023 ago
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