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Data Fusion with Latent Map Gaussian Processes
Multi-fidelity modeling and calibration are data fusion tasks that ubiquitously arise in engineering design.
Latent Map Gaussian Processes for Mixed Variable Metamodeling
In this paper, we introduce latent map Gaussian processes (LMGPs) that inherit the attractive properties of GPs and are also applicable to mixed data which have both quantitative and qualitative inputs.
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