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Unfortunately, it will fail in the circumstance where plenty of labeled samples for training model are insufficient. The labeled samples are difficult to obtain due to their high cost. In this paper, we solve this problem with transfer learning and propose joint transfer extreme learning machine (JTELM). First, it applies cross-domain mean approximation (CDMA) to minimize the discrepancy between domains, thus obtaining one ELM model. Second, subspace alignment (sa) and weight approximation are together introduced into the output layer to enhance the capability of knowledge transfer and learn another ELM model. Third, the prediction of test samples is dominated by the two learned ELM models. Finally, a series of experiments are carried out to investigate the performance of JTELM, and the results show that it achieves efficiently the task of transfer learning and performs better than the traditional ELM and other transfer or nontransfer learning methods.<\/jats:p>","DOI":"10.1155\/2023\/5072247","type":"journal-article","created":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T23:35:05Z","timestamp":1677713705000},"page":"1-12","source":"Crossref","is-referenced-by-count":2,"title":["Joint Transfer Extreme Learning Machine with Cross-Domain Mean Approximation and Output Weight Alignment"],"prefix":"10.1155","volume":"2023","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0278-4729","authenticated-orcid":true,"given":"Shaofei","family":"Zang","sequence":"first","affiliation":[{"name":"College of Information Engineering, Henan University of Science and Technology, Luoyang 471000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongqing","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Ma","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Henan University of Science and Technology, Luoyang 471000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8081-1879","authenticated-orcid":true,"given":"Jianwei","family":"Ma","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Henan University of Science and Technology, Luoyang 471000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.12.126"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2168604"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/access.2022.3142724"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-021-11007-7"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ast.2021.107311"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.3390\/machines10020093"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2021.3084312"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.3390\/rs13030508"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2020.3024796"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/access.2021.3108029"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1109\/access.2021.3076347"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/2913019"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1145\/3379344"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2009.191"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0043-6"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.3002666"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2016.2538282"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2018.2859836"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262170055.003.0008"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1109\/tnn.2010.2091281"},{"first-page":"2200","article-title":"Transfer feature learning with joint distribution adaptation","author":"M. 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