{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T16:48:45Z","timestamp":1779382125576,"version":"3.53.1"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61988101"],"award-info":[{"award-number":["61988101"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61925305"],"award-info":[{"award-number":["61925305"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61890930-3"],"award-info":[{"award-number":["61890930-3"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010896","name":"International (Regional) Cooperation and Exchange Project","doi-asserted-by":"publisher","award":["61720106008"],"award-info":[{"award-number":["61720106008"]}],"id":[{"id":"10.13039\/501100010896","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tim.2021.3104376","type":"journal-article","created":{"date-parts":[[2021,8,12]],"date-time":"2021-08-12T19:49:56Z","timestamp":1628797796000},"page":"1-11","source":"Crossref","is-referenced-by-count":13,"title":["Gaussian Process Regression With Maximizing the Composite Conditional Likelihood"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9473-4851","authenticated-orcid":false,"given":"Haojie","family":"Huang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8616-9568","authenticated-orcid":false,"given":"Zhongmei","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9277-8415","authenticated-orcid":false,"given":"Xin","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5149-5918","authenticated-orcid":false,"given":"Steven X.","family":"Ding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4285-4739","authenticated-orcid":false,"given":"Weimin","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2921476"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2997940"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2019.06.007"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2714127"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1002\/9780470770801"},{"key":"ref35","first-page":"3011","article-title":"Gaussian processes for machine learning (GPML) toolbox","volume":"11","author":"rasmussen","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2019.05.001"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2900479"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.9b02513"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/aic.14299"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2902129"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2677622"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2658158"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2951622"},{"key":"ref17","author":"williams","year":"2006","journal-title":"Gaussian Processes for Machine Learning"},{"key":"ref18","first-page":"25","article-title":"Improving PILCO with Bayesian neural network dynamics models","volume":"4","author":"gal","year":"2016","journal-title":"Proc Data-Efficient Mach Learn Workshop (ICML)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2794997"},{"key":"ref28","first-page":"1","article-title":"Robust Gaussain process regression with a student-t likelihood","volume":"12","author":"jylnki","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref4","first-page":"1","article-title":"Supervised deep belief network for quality prediction in industrial processes","volume":"70","author":"yuan","year":"2021","journal-title":"IEEE Trans Instrum Meas"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.7b05173"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.9b06113"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2951708"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2016.04.003"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2985614"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ces.2020.115509"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.2984443"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2020.104500"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.9b06295"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.6b04633"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2017.05.004"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.5b04118"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cej.2009.11.002"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2957109"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.spasta.2018.02.002"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2941747"},{"key":"ref25","first-page":"5537","article-title":"Variational Fourier features for Gaussain processes","volume":"18","author":"hensman","year":"2017","journal-title":"J Mach Learn Res"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/9259274\/09512548.pdf?arnumber=9512548","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:51:22Z","timestamp":1652194282000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9512548\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/tim.2021.3104376","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}