{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T06:03:34Z","timestamp":1760853814647,"version":"3.41.0"},"reference-count":31,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,12]]},"DOI":"10.1109\/icarcv.2014.7064462","type":"proceedings-article","created":{"date-parts":[[2015,3,25]],"date-time":"2015-03-25T21:39:39Z","timestamp":1427319579000},"page":"1118-1123","source":"Crossref","is-referenced-by-count":8,"title":["Online Gaussian process regression for time-varying manufacturing systems"],"prefix":"10.1109","author":[{"given":"Jinwen","family":"Hu","sequence":"first","affiliation":[]},{"given":"Xiang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yanjing","family":"Ou","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICIF.2005.1591849"},{"key":"ref30","first-page":"4398","article-title":"Covariance intersection algorithm for distributed spacecraft state estimation","volume":"6","author":"arambel","year":"2002","journal-title":"Proceedings of the American Control Conference"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/S0007-8506(07)62491-3"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSM.2011.2115261"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2011.2177733"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2011.07.026"},{"key":"ref14","volume":"1","author":"kacprzyk","year":"1992","journal-title":"Fuzzy Regression Analysis"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0114(99)00091-3"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1985.tb01327.x","article-title":"Some aspects of the spline smoothing approach to non-parametric regression curve fitting","volume":"47","author":"silverman","year":"1985","journal-title":"Journal of the Royal Statistical Society Series B"},{"journal-title":"Nonlinear Curve Fitting","year":"2001","author":"juliano","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4076(88)90077-2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-48425-4_2"},{"key":"ref28","first-page":"625","article-title":"Fast sparse gaussian process methods: The informative vector machine","author":"lawrence","year":"2003","journal-title":"Advances in neural information processing systems"},{"journal-title":"Run-to-Run control in semiconductor manufacturing","year":"2010","author":"moyne","key":"ref4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.10.046"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IWSTM.2000.869299"},{"journal-title":"Adaptive Filtering Prediction and Control","year":"2013","author":"goodwin","key":"ref6"},{"key":"ref29","first-page":"1193","article-title":"Local gaussian process regression for real time online model learning","author":"nguyen-tuong","year":"2008","journal-title":"Advances in neural information processing systems"},{"journal-title":"Adaptive Algorithms and Stochastic Approximations","year":"2012","author":"benveniste","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0098-1354(97)00262-7"},{"journal-title":"Adaptive Control","year":"2013","author":"\u00e5str\u00f6m","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/0740817X.2011.564603"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/0003-2670(86)80028-9"},{"key":"ref1","volume":"4","author":"buzacott","year":"1993","journal-title":"Stochastic Models of Manufacturing Systems"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/978-3-540-28650-9_4","article-title":"Gaussian processes in machine learning","author":"rasmussen","year":"2004","journal-title":"Advanced Lectures on Machine Learning"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1163\/016918609X12529286896877"},{"key":"ref21","first-page":"1939","article-title":"A unifying view of sparse approximate gaussian process regression","volume":"6","author":"qui\u00f1onero-candela","year":"2005","journal-title":"The Journal of Machine Learning Research"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2004.830991"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.425"},{"key":"ref26","first-page":"2211","article-title":"Multiple kernel learning algorithms","volume":"12","author":"g\u00f6nen","year":"2011","journal-title":"The Journal of Machine Learning Research"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.880583"}],"event":{"name":"2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)","start":{"date-parts":[[2014,12,10]]},"location":"Singapore","end":{"date-parts":[[2014,12,12]]}},"container-title":["2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7056237\/7064265\/07064462.pdf?arnumber=7064462","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T16:38:19Z","timestamp":1747845499000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7064462\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,12]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/icarcv.2014.7064462","relation":{},"subject":[],"published":{"date-parts":[[2014,12]]}}}