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Published March 3, 2021 | Version v1
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Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation - Data

  • 1. University of California, Santa Barbara
  • 2. Argonne National Laboratory

Description

This is the simulation dataset for synthetic experiments (2D Modified Branin-Hoo function and 2D Michalewicz function) and case study (2D put option and 3D call option) in the article "Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation". The code to generate the dataset is also uploaded to Zenodo (DOI 10.5281/zenodo.4579994).

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data.zip

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Related works

Is derived from
Software: 10.5281/zenodo.4584450 (DOI)