{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T23:09:35Z","timestamp":1784156975495,"version":"3.55.0"},"reference-count":75,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"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":"publisher","award":["61572356"],"award-info":[{"award-number":["61572356"]}],"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":["61303208"],"award-info":[{"award-number":["61303208"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Tianjin Research Program of Application Foundation and Advanced Technology","award":["15JCQNJC41600"],"award-info":[{"award-number":["15JCQNJC41600"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1109\/tcyb.2018.2832085","type":"journal-article","created":{"date-parts":[[2018,5,15]],"date-time":"2018-05-15T20:44:29Z","timestamp":1526417069000},"page":"2385-2397","source":"Crossref","is-referenced-by-count":47,"title":["High-Order Temporal Correlation Model Learning for Time-Series Prediction"],"prefix":"10.1109","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2648-7358","authenticated-orcid":false,"given":"Peiguang","family":"Jing","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5165-204X","authenticated-orcid":false,"given":"Yuting","family":"Su","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengqian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref73","year":"2013","journal-title":"Tropical atmosphere ocean project"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.39"},{"key":"ref71","first-page":"1228","article-title":"Low-rank tensor learning with discriminant analysis for action classification and image recovery","author":"jia","year":"2014","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.246"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CNE.2005.1419562"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2000.10474284"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1198\/000313002146"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1080\/15472450490492833"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2180868.2180875"},{"key":"ref32","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning (Information Science and Statistics)"},{"key":"ref31","article-title":"Parameter estimation for linear dynamical systems","author":"ghahramani","year":"1996"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2513411"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LCN.2000.891112"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2008.09.032"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1080\/0740817X.2014.999180"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806217"},{"key":"ref60","first-page":"819","article-title":"Spatio-temporal tensor analysis for whole-brain fMRI classification","author":"ma","year":"2016","journal-title":"Proc SIAM Int Conf Data Mining"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390267"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2627803"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972801.19"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.146"},{"key":"ref64","first-page":"2634","article-title":"Multilinear dynamical systems for tensor time series","author":"rogers","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2014.2327053"},{"key":"ref65","first-page":"1","article-title":"Probabilistic tensor factorization and model selection","author":"goutte","year":"2010","journal-title":"Proc Tensors Kernels Mach Learn"},{"key":"ref66","first-page":"1257","article-title":"Probabilistic matrix factorization","author":"salakhutdinov","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref29","first-page":"238","article-title":"Accelerated online low rank tensor learning for multivariate spatiotemporal streams","author":"yu","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.10.043"},{"key":"ref68","first-page":"2151","article-title":"Generalised coupled tensor factorisation","author":"y?lmaz","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.836788"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2012.2229971"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2008.08.004"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783348"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.279"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1997.599318"},{"key":"ref24","first-page":"847","article-title":"Temporal regularized matrix factorization for high-dimensional time series prediction","author":"yu","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2662055"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1093\/0198774508.001.0001"},{"key":"ref25","first-page":"3491","article-title":"Fast multivariate spatio-temporal analysis via low rank tensor learning","author":"bahadori","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-014-9523-8"},{"key":"ref51","author":"rasmussen","year":"2006","journal-title":"Gaussian Processes for Machine Learning"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150445"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1137\/07070111X"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2269046"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.222"},{"key":"ref55","first-page":"3483","article-title":"Learning stationary time series using Gaussian processes with nonparametric kernels","author":"tobar","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref54","first-page":"1166","article-title":"Structure discovery in nonparametric regression through compositional kernel search","author":"duvenaud","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmp.2011.08.004"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-013-9383-7"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2294594"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2013.2261984"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/S1389-1286(00)00044-X"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2318711"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2013.2277171"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2748604"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2322310"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2577601"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2426723"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-015-3090-7"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-013-0256-y"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2330813"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080779"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2445918"},{"key":"ref5","first-page":"2191","article-title":"Online time series prediction with missing data","author":"anava","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2561974"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2301773"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1214\/15-EJS1017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.2731-14.2015"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1023\/B:STCO.0000035301.49549.88"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2008.09.029"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2005.02.004"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.09.035"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-73954-8_6"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ISDA.2005.85"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2006.873409"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1002\/fut.3990130605"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/8676036\/08359393.pdf?arnumber=8359393","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:07:00Z","timestamp":1657746420000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8359393\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":75,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2018.2832085","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,6]]}}}