{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T13:22:22Z","timestamp":1785417742472,"version":"3.56.0"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2017YFA0700300"],"award-info":[{"award-number":["2017YFA0700300"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61533005"],"award-info":[{"award-number":["61533005"]}],"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":["61833003"],"award-info":[{"award-number":["61833003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2021,8]]},"DOI":"10.1109\/tcyb.2019.2923434","type":"journal-article","created":{"date-parts":[[2019,7,15]],"date-time":"2019-07-15T23:51:17Z","timestamp":1563234677000},"page":"4298-4311","source":"Crossref","is-referenced-by-count":13,"title":["Relevance Vector Machines-Based Time Series Prediction for Incomplete Training Dataset: Two Comparative Approaches"],"prefix":"10.1109","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4585-5662","authenticated-orcid":false,"given":"Long","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linqing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3573-152X","authenticated-orcid":false,"given":"Jun","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7608-7438","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/0375-9601(79)90150-6"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.7755\/FB.115.1.2"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","article-title":"Maximum likelihood from incomplete data via the EM algorithm","volume":"39","author":"dempster","year":"1977","journal-title":"J Roy Statist Soc Series B (Methodol )"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.06.057"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1142\/9789812776655"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/srep35534"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.07.050"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2016.01.008"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2008.01.002"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.04.006"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2011.5991210"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1080\/00949655.2016.1245305"},{"key":"ref17","first-page":"1783","article-title":"Probabilistic non-linear principal component analysis with Gaussian process latent variable models","volume":"6","author":"lawrence","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2831457"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btt148"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2013.2265292"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2010.05.010"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.11.013"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2354418"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2231411"},{"key":"ref29","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1037\/1082-989X.7.2.147"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2014.12.008"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2015.04.009"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2011.2159693"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2016.07.014"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2445918"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1167"},{"key":"ref22","first-page":"1425","article-title":"Variational inference for latent variables and uncertain inputs in Gaussian processes","volume":"17","author":"damianou","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref21","article-title":"Learning with uncertainty—Gaussian processes and relevance vector machines","author":"candela","year":"2004"},{"key":"ref24","first-page":"2191","article-title":"Online time series prediction with missing data","author":"anava","year":"2015","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref23","first-page":"228","article-title":"Semi-described and semi-supervised learning with Gaussian processes","author":"damianou","year":"2015","journal-title":"Proc 31st Conf Uncertainty Artif Intell (UAI)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2501824"},{"key":"ref25","first-page":"211","article-title":"Sparse Bayesian learning and the relevance vector machine","volume":"1","author":"tipping","year":"2001","journal-title":"J Mach Learn Res"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9507368\/08762197.pdf?arnumber=8762197","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,20]],"date-time":"2024-07-20T23:59:52Z","timestamp":1721519992000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8762197\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8]]},"references-count":34,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2019.2923434","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8]]}}}