Active learning criteria for prediction, EI-MC and EI-SC, carry over to computer experiments with mixed quantitative and qualitative inputs and outperform one-shot designs in the tested examples.
Using confidence bounds for exploitation-exploration trade-offs
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Active Learning of Computer Experiment with both Quantitative and Qualitative Inputs
Active learning criteria for prediction, EI-MC and EI-SC, carry over to computer experiments with mixed quantitative and qualitative inputs and outperform one-shot designs in the tested examples.