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Batch Bayesian active learning for feasible region identification by local penalization
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Learning to forget : design of experiments for line-based Bayesian optimization in dynamic environments
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Deep Gaussian process metamodeling of sequentially sampled non-stationary response surfaces
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Sensitivity analysis of expensive black-box systems using metamodeling
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Constructing classifiers of expensive simulation-based data by sequential experimental design
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Classification aided domain reduction for high dimensional optimization
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On the use of gradients in kriging surrogate models
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A balanced sequential design strategy for global surrogate modeling
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A novel sequential design strategy for global surrogate modeling