{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T19:56:46Z","timestamp":1760385406411},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2015,2,28]],"date-time":"2015-02-28T00:00:00Z","timestamp":1425081600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2016,2]]},"DOI":"10.1007\/s00521-014-1777-8","type":"journal-article","created":{"date-parts":[[2015,2,27]],"date-time":"2015-02-27T05:58:09Z","timestamp":1425016689000},"page":"255-269","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Manifold regularized extreme learning machine"],"prefix":"10.1007","volume":"27","author":[{"given":"Bing","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shi-Xiong","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan-Rong","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,2,28]]},"reference":[{"issue":"13","key":"1777_CR1","doi-asserted-by":"crossref","first-page":"3066","DOI":"10.1016\/j.neucom.2009.03.016","volume":"72","author":"X Tang","year":"2009","unstructured":"Tang X, Han M (2009) Partial Lanczos extreme learning machine for single-output regression problems. Neurocomputing 72(13):3066\u20133076","journal-title":"Neurocomputing"},{"key":"1777_CR2","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1007\/978-3-540-68125-0_21","volume":"5012","author":"Q Liu","year":"2008","unstructured":"Liu Q, He Q, Shi ZZ (2008) Extreme support vector machine classifier. Lect Notes Comput Sci 5012:222\u2013233","journal-title":"Lect Notes Comput Sci"},{"key":"1777_CR3","unstructured":"Fr\u00e9nay B, Verleysen M (2010) Using SVMs with randomised feature spaces: an extreme learning approach. In: Proceedings of the 18th ESANN, Bruges, Belgium, pp 315\u2013320"},{"issue":"1","key":"1777_CR4","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1109\/TNN.2009.2036259","volume":"21","author":"Y Miche","year":"2010","unstructured":"Miche Y et al (2010) OP-ELM: optimally pruned extreme learning machine. IEEE Trans Neural Netw 21(1):158\u2013162","journal-title":"IEEE Trans Neural Netw"},{"key":"1777_CR5","doi-asserted-by":"crossref","unstructured":"Deng W, Zheng Q, Chen L (2009) Regularized extreme learning machine. In: Proceedings of the IEEE symposium on CIDM, pp 389\u2013395","DOI":"10.1109\/CIDM.2009.4938676"},{"key":"1777_CR6","unstructured":"Huang G-B, Zhu Q-Y, Siew C-K (2004) Extreme learning machine: a new learning scheme of feedforward neural networks. In Proceedings of the IJCNN, Budapest, Hungary, vol 2, pp 985\u2013990"},{"issue":"1","key":"1777_CR7","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"G-B Huang","year":"2006","unstructured":"Huang G-B, Zhu Q-Y, Siew C-K (2006) Extreme learning machine: theory and applications. Neurocomputing 70(1):489\u2013501","journal-title":"Neurocomputing"},{"issue":"4","key":"1777_CR8","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1109\/TNN.2006.875977","volume":"17","author":"G-B Huang","year":"2006","unstructured":"Huang G-B, Chen L, Siew C-K (2006) Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Trans Neural Netw 17(4):879\u2013892","journal-title":"IEEE Trans Neural Netw"},{"issue":"16","key":"1777_CR9","doi-asserted-by":"crossref","first-page":"3056","DOI":"10.1016\/j.neucom.2007.02.009","volume":"70","author":"G-B Huang","year":"2007","unstructured":"Huang G-B, Chen L (2007) Convex incremental extreme learning machine. Neurocomputing 70(16):3056\u20133062","journal-title":"Neurocomputing"},{"issue":"16","key":"1777_CR10","doi-asserted-by":"crossref","first-page":"3460","DOI":"10.1016\/j.neucom.2007.10.008","volume":"71","author":"G-B Huang","year":"2008","unstructured":"Huang G-B, Chen L (2008) Enhanced random search based incremental extreme learning machine. Neurocomputing 71(16):3460\u20133468","journal-title":"Neurocomputing"},{"issue":"1\u20133","key":"1777_CR11","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.neucom.2008.01.016","volume":"72","author":"G Wang","year":"2008","unstructured":"Wang G, Zhao Y, Wang D (2008) A protein secondary structure prediction frame- work based on the extreme learning machine. Neurocomputing 72(1\u20133):262\u2013268","journal-title":"Neurocomputing"},{"key":"1777_CR12","unstructured":"Lan Y, Soh YC, Huang G-B (2008) Extreme Learning Machine based bacterial protein subcellular localization prediction. In: Proceedings of the IEEE international joint conference on neural networks, IJCNN 2008, Hong Kong, pp 1859\u20131863"},{"issue":"3","key":"1777_CR13","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1109\/tcbb.2007.1012","volume":"4","author":"R Zhang","year":"2007","unstructured":"Zhang R, Huang G-B, Sundararajan N, Saratchandran P (2007) Multicategory classification using an extreme learning machine for microarray gene expression cancer diagnosis. IEEE\/ACM Trans Comput Biol Bioinform 4(3):485\u2013495","journal-title":"IEEE\/ACM Trans Comput Biol Bioinform"},{"issue":"10\u201311","key":"1777_CR14","doi-asserted-by":"crossref","first-page":"2588","DOI":"10.1016\/j.patcog.2011.03.013","volume":"44","author":"AA Mohammed","year":"2011","unstructured":"Mohammed AA, Minhas R, Jonathan Wu QM, Sid-Ahmed MA (2011) Human face recognition based on multidimensional PCA and extreme learning machine. Pattern Recognit 44(10\u201311):2588\u20132597","journal-title":"Pattern Recognit"},{"issue":"3","key":"1777_CR15","doi-asserted-by":"crossref","first-page":"946","DOI":"10.1109\/TPWRS.2008.926431","volume":"23","author":"AH Nizar","year":"2008","unstructured":"Nizar AH, Dong ZY, Wang Y (2008) Power utility nontechnical loss analysis with extreme learning machine method. IEEE Trans Power Syst 23(3):946\u2013955","journal-title":"IEEE Trans Power Syst"},{"issue":"3","key":"1777_CR16","doi-asserted-by":"crossref","first-page":"635","DOI":"10.1109\/TRO.2011.2130030","volume":"27","author":"S Decherchi","year":"2011","unstructured":"Decherchi S, Gastaldo P, Dahiya RS, Valle M, Zunino R (2011) Tactile data classification of contact materials using computational intelligence. IEEE Trans Robot 27(3):635\u2013639","journal-title":"IEEE Trans Robot"},{"key":"1777_CR17","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.neucom.2011.12.050","volume":"102","author":"S Decherchi","year":"2013","unstructured":"Decherchi S, Gastaldo P, Zunino R, Cambria E, Redi J (2013) Circular-ELM for the reduced-reference assessment of perceived image quality. Neurocomputing 102:78\u201389","journal-title":"Neurocomputing"},{"issue":"4","key":"1777_CR18","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1007\/s12559-012-9145-4","volume":"4","author":"E Cambria","year":"2012","unstructured":"Cambria E, Hussain A (2012) Sentic album: content-, concept-, and context-based online personal photo management system. Cogn Comput 4(4):477\u2013496","journal-title":"Cogn Comput"},{"key":"1777_CR19","doi-asserted-by":"crossref","unstructured":"Kumar MA (2010) An investigation on linear SVM and its variants for text categorization. In: Second international conference on machine learning and computing (ICMLC), pp 27\u201331","DOI":"10.1109\/ICMLC.2010.64"},{"key":"1777_CR20","doi-asserted-by":"crossref","first-page":"2483","DOI":"10.1016\/j.neucom.2010.11.030","volume":"74","author":"YG Wang","year":"2011","unstructured":"Wang YG, Cao FL, Yuan YB (2011) A study on effectiveness of extreme learning machine. Neurocomputing 74:2483\u20132490","journal-title":"Neurocomputing"},{"key":"1777_CR21","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.neucom.2012.02.042","volume":"102","author":"FL Cao","year":"2013","unstructured":"Cao FL, Liu B, Park DS (2013) Image classification based on effective extreme learning machine. Neurocomputing 102:90\u201397","journal-title":"Neurocomputing"},{"key":"1777_CR22","first-page":"2399","volume":"7","author":"M Belkin","year":"2006","unstructured":"Belkin M, Sindhwani V, Niyogi P (2006) Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. J Mach Learn Res 7:2399\u20132434","journal-title":"J Mach Learn Res"},{"issue":"1","key":"1777_CR23","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.patcog.2008.07.010","volume":"42","author":"H Xue","year":"2009","unstructured":"Xue H, Chen S, Yang Q (2009) Discriminatively regularized least-squares classification. Pattern Recognit 42(1):93\u2013104","journal-title":"Pattern Recognit"},{"issue":"8","key":"1777_CR24","doi-asserted-by":"crossref","first-page":"1777","DOI":"10.1016\/j.patcog.2011.02.013","volume":"44","author":"M Fan","year":"2011","unstructured":"Fan M, Gu N, Qiao H et al (2011) Sparse regularization for semi-supervised classification. Pattern Recognit 44(8):1777\u20131784","journal-title":"Pattern Recognit"},{"issue":"12","key":"1777_CR25","first-page":"3351","volume":"9","author":"Lina Li","year":"2012","unstructured":"Li Lina, Liu Dayou, Ouyang Jihong (2012) A new regularization classification method based on extreme learning machine in network data. J Inf Comput Sci 9(12):3351\u20133363","journal-title":"J Inf Comput Sci"},{"issue":"16","key":"1777_CR26","doi-asserted-by":"crossref","first-page":"2566","DOI":"10.1016\/j.neucom.2010.12.043","volume":"74","author":"Junfa Liu","year":"2011","unstructured":"Liu Junfa, Chen Yiqiang, Liu Mingjie et al (2011) SELM: semi-supervised ELM with application in sparse calibrated location estimation. Neurocomputing 74(16):2566\u20132572","journal-title":"Neurocomputing"},{"issue":"2","key":"1777_CR27","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1109\/TSMCB.2011.2168604","volume":"42","author":"G-B Huang","year":"2012","unstructured":"Huang G-B, Zhou HM, Ding XJ (2012) Extreme learning machine for regression and multiclass classification. IEEE Trans Syst Man Cybern Part B Cybern 42(2):513\u2013529","journal-title":"IEEE Trans Syst Man Cybern Part B Cybern"},{"issue":"9","key":"1777_CR28","doi-asserted-by":"crossref","first-page":"1406","DOI":"10.1109\/TKDE.2010.259","volume":"23","author":"Xiaofei He","year":"2011","unstructured":"He Xiaofei, Cai Deng, Shao Yuanlong, Bao Hujun, Han Jiawei (2011) Laplacian regularized Gaussian mixture model for data clustering. IEEE Trans Knowl Data Eng 23(9):1406\u20131418","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1777_CR29","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s13042-011-0019-y","volume":"2","author":"G-B Huang","year":"2011","unstructured":"Huang G-B et al (2011) Extreme learning machines: a survey. Int J Mach Learn Cybern 2:107\u2013122","journal-title":"Int J Mach Learn Cybern"},{"issue":"5","key":"1777_CR30","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1109\/34.291440","volume":"16","author":"JJ Hull","year":"1998","unstructured":"Hull JJ (1998) A data base for hand written text recognition research. IEEE Trans Pattern Anal Mach Intell 16(5):550\u2013554","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"5","key":"1777_CR31","doi-asserted-by":"crossref","first-page":"684","DOI":"10.1109\/TPAMI.2005.92","volume":"27","author":"KC Lee","year":"2005","unstructured":"Lee KC, Ho J, Kriegman D (2005) Acquiring linear subspaces for face recognition under variable lighting. IEEE Trans Pattern Anal Mach Intell 27(5):684\u2013698","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1777_CR32","doi-asserted-by":"crossref","unstructured":"Zhao B, Wang F, Zhang C (2008) CutS3VM: a fast semi-supervised SVM algorithm. In: The 14th ACM SIGKDD international conference on knowledge discovery & data mining (KDD), Las Vegas, NV, USA, pp 830\u2013838","DOI":"10.1145\/1401890.1401989"},{"key":"1777_CR33","doi-asserted-by":"crossref","unstructured":"Sindhwani V, Keerthi SS (2006) Large scale semi-supervised linear SVMs. In: 29th Annual international ACM SIGIR. Technical report","DOI":"10.1145\/1148170.1148253"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-014-1777-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-014-1777-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-014-1777-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T02:21:17Z","timestamp":1559096477000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-014-1777-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,2,28]]},"references-count":33,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2016,2]]}},"alternative-id":["1777"],"URL":"https:\/\/doi.org\/10.1007\/s00521-014-1777-8","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,2,28]]}}}