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Nelles, “Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge,” <i>Mathematics</i>, vol. 9, no. 19, 2021."},"intvolume":"         9","main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/2227-7390/9/19/2479"}],"author":[{"last_name":"Voigt","first_name":"Tim","full_name":"Voigt, Tim","id":"220691"},{"id":"226669","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0002-9374-0720/work/222606627","full_name":"Kohlhase, Martin","first_name":"Martin","orcid":"0009-0002-9374-0720","last_name":"Kohlhase"},{"first_name":"Oliver","last_name":"Nelles","full_name":"Nelles, Oliver"}],"article_number":"2479","year":"2021","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"publisher":"MDPI AG","doi":"10.3390/math9192479","issue":"19","alternative_id":["1477"],"type":"journal_article","volume":9,"keyword":["Gaussian process regression","design of experiments","static process models","industrial processes","stepwise experimental design"],"title":"Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge","oa":"1"}]