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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation - Data

Authors: Xiong Lyu; Mike Ludkovski; Mickaël Binois;

Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation - Data

Abstract

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).

Related Organizations
Keywords

Student-t process, sequential updating formulas, stochastic contour-finding, Gaussian Process

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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