{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T14:46:34Z","timestamp":1779201994430,"version":"3.51.4"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"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":["61672443"],"award-info":[{"award-number":["61672443"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772344"],"award-info":[{"award-number":["61772344"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61732011"],"award-info":[{"award-number":["61732011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hong Kong RGC General Research Funds","award":["CityU 11206317"],"award-info":[{"award-number":["CityU 11206317"]}]},{"name":"Hong Kong RGC General Research Funds","award":["CityU 11200116"],"award-info":[{"award-number":["CityU 11200116"]}]},{"name":"Natural Science Foundation of SZU","award":["827-000230"],"award-info":[{"award-number":["827-000230"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Syst. Man Cybern, Syst."],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1109\/tsmc.2017.2788005","type":"journal-article","created":{"date-parts":[[2018,1,23]],"date-time":"2018-01-23T19:17:14Z","timestamp":1516735034000},"page":"1794-1804","source":"Crossref","is-referenced-by-count":6,"title":["Applying Exponential Family Distribution to Generalized Extreme Learning Machine"],"prefix":"10.1109","volume":"50","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3907-6550","authenticated-orcid":false,"given":"Yuheng","family":"Jia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7484-7261","authenticated-orcid":false,"given":"Sam","family":"Kwong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2586-5604","authenticated-orcid":false,"given":"Ran","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","author":"ripley","year":"2007","journal-title":"Pattern Recognition and Neural Networks"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICITEED.2016.7863294"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1198\/106186005X25619"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.12.015"},{"key":"ref31","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4175.001.0001","author":"scholkopf","year":"2001","journal-title":"Learning With Kernels Support Vector Machines Regularization Optimization and Beyond"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.11.032"},{"key":"ref36","author":"murphy","year":"2012","journal-title":"Machine Learning A Probabilistic Perspective"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/0022-247X(71)90184-3"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref10","first-page":"55","article-title":"A classification method of extreme learning machine based on AdaBoost","volume":"46","author":"wang","year":"2014","journal-title":"J of Zhengzhou Univ"},{"key":"ref40","author":"lichman","year":"2013","journal-title":"UCI Machine Learning Repository"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2653223"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2103956"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3071178.3071339"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2011.129"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.09.074"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"836","DOI":"10.1109\/TNNLS.2013.2281839","article-title":"Sparse Bayesian extreme learning machine for multi-classification","volume":"25","author":"luo","year":"2014","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref17","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"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-18038-0_32"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.07.045"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2014.2331217"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2168604"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2335212"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2017.2701419"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2017.2691774"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000677"},{"key":"ref5","first-page":"1","article-title":"Multi-criteria decision making based architecture selection for single-hidden layer feedforward neural networks","author":"wang","year":"2017","journal-title":"Int J Mach Learn Cybern"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2012.2207104"},{"key":"ref7","first-page":"617","article-title":"A generalization of principal component analysis to the exponential family","volume":"13","author":"collins","year":"2001","journal-title":"Proc NIPS"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2820783.2820843"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/405890"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2424995"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.08.022"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-3242-6"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2299291"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2764099"},{"key":"ref41","first-page":"921","article-title":"The importance of encoding versus training with sparse coding and vector quantization","author":"coates","year":"2011","journal-title":"Proc 28th Int Conf Mach Learn (ICML)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/21.391294"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CIDM.2009.4938676"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-012-0829-1"}],"container-title":["IEEE Transactions on Systems, Man, and Cybernetics: Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221021\/9068293\/08267091.pdf?arnumber=8267091","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T18:05:22Z","timestamp":1719770722000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8267091\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":41,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tsmc.2017.2788005","relation":{},"ISSN":["2168-2216","2168-2232"],"issn-type":[{"value":"2168-2216","type":"print"},{"value":"2168-2232","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5]]}}}