{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T16:08:15Z","timestamp":1775146095444,"version":"3.50.1"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61703367"],"award-info":[{"award-number":["61703367"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Post-Doctoral Foundation","doi-asserted-by":"publisher","award":["2017M621929"],"award-info":[{"award-number":["2017M621929"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Post-Doctoral Foundation","doi-asserted-by":"publisher","award":["2019T120516"],"award-info":[{"award-number":["2019T120516"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2021,7]]},"DOI":"10.1109\/tcyb.2019.2947622","type":"journal-article","created":{"date-parts":[[2019,11,8]],"date-time":"2019-11-08T21:51:36Z","timestamp":1573249896000},"page":"3455-3468","source":"Crossref","is-referenced-by-count":36,"title":["Semisupervised Bayesian Gaussian Mixture Models for Non-Gaussian Soft Sensor"],"prefix":"10.1109","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1291-3072","authenticated-orcid":false,"given":"Weiming","family":"Shao","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2071-4380","authenticated-orcid":false,"given":"Zhiqiang","family":"Ge","sequence":"additional","affiliation":[]},{"given":"Zhihuan","family":"Song","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2017.02.002"},{"key":"ref38","first-page":"979","article-title":"Semi-supervised regression using Hessian energy with an application to semi-supervised dimensionality reduction","author":"kim","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2307349"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2018.2856845"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2017.8037512"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.08.005"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2658732"},{"key":"ref36","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511804779","author":"barber","year":"2012","journal-title":"Bayesian Reasoning and Machine Learning"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1002\/aic.14270"},{"key":"ref34","first-page":"908","article-title":"Semi-supervised regression with co-training","author":"zhou","year":"2005","journal-title":"Proc 19th Int Joint Conf Artif Intell"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/aic.11515"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2016.2576999"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1974.1100705"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1021\/ie3020186"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2013.06.014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1021\/ie5029864"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2016.04.033"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/app.45237"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.6b00240"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2014.07.013"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2016.2579609"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2017.03.015"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2008.12.012"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2015.04.015"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2009.2025124"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.8b02913"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.10.005"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2010.06.013"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2013.11.006"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.5b01425"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cherd.2015.01.006"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2505086"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ces.2012.07.018"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.cjche.2016.07.005"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1177\/0049124104268644"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2654552"},{"key":"ref24","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/s18113968"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2015.02.003"},{"key":"ref41","first-page":"449","article-title":"Variational inference for Bayesian mixtures of factor analyzers","author":"ghahramani","year":"2000","journal-title":"Proc 12th Adv Neural Inf Process Syst"},{"key":"ref26","first-page":"533","article-title":"Mixture probabilistic PCR model for soft sensing of multimode processes","volume":"60","author":"ge","year":"2014","journal-title":"Chemometr Intell Lab Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1214\/06-BA104"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9463682\/08894374.pdf?arnumber=8894374","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,4]],"date-time":"2022-10-04T05:09:30Z","timestamp":1664860170000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8894374\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7]]},"references-count":42,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2019.2947622","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7]]}}}