{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T07:58:51Z","timestamp":1761292731667},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2010,8,6]],"date-time":"2010-08-06T00:00:00Z","timestamp":1281052800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2011,10]]},"DOI":"10.1007\/s00521-010-0428-y","type":"journal-article","created":{"date-parts":[[2010,8,5]],"date-time":"2010-08-05T01:41:11Z","timestamp":1280972471000},"page":"1061-1074","source":"Crossref","is-referenced-by-count":31,"title":["An incremental online semi-supervised active learning algorithm based on self-organizing incremental neural network"],"prefix":"10.1007","volume":"20","author":[{"given":"Furao","family":"Shen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keisuke","family":"Sakurai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Osamu","family":"Hasegawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2010,8,6]]},"reference":[{"issue":"12","key":"428_CR1","doi-asserted-by":"crossref","first-page":"1553","DOI":"10.1109\/TPAMI.2004.127","volume":"26","author":"I Cohen","year":"2004","unstructured":"Cohen I, Cozman FG, Sebe N, Cirelo MC, Huang TS (2004) Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction. IEEE Trans Pattern Anal Mach Intell 26(12):1553\u20131566","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"8","key":"428_CR2","doi-asserted-by":"crossref","first-page":"2208","DOI":"10.1109\/TIP.2006.875220","volume":"15","author":"A Baraldi","year":"2006","unstructured":"Baraldi A, Bruzzone L, Blonda P (2006) A multiscale expectation-maximization semisupervised classifier suitable for badly posed image classification. IEEE Trans Image Process 15(8):2208\u20132225","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"428_CR3","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1109\/TNN.2006.883723","volume":"18","author":"D-Y Yeung","year":"2007","unstructured":"Yeung D-Y, Chang H (2007) A kernel approach for semisupervised metric learning. IEEE Trans Neural Netw 18(1):141\u2013149","journal-title":"IEEE Trans Neural Netw"},{"key":"428_CR4","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1007\/s10852-008-9095-8","volume":"7","author":"SM Zaki","year":"2008","unstructured":"Zaki SM, Yin H (2008) A semi-supersized learning algorithm for growing neural gas in face recognition. J Math Model Algorithms 7:425\u2013435","journal-title":"J Math Model Algorithms"},{"key":"428_CR5","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1023\/A:1007330508534","volume":"28","author":"Y Freund","year":"1997","unstructured":"Freund Y, Seung H, Shamir E, Tishby N (1997) Selective sampling using the query by committee algorithm. Mach Learn 28:133\u2013168","journal-title":"Mach Learn"},{"key":"428_CR6","unstructured":"Muslea I, Minston S, Knoblock C (2000) Selective sampling with redundant views. In: Proceedings of the national conference on artificial intelligence, pp\u00a0621\u2013626"},{"issue":"6","key":"428_CR7","doi-asserted-by":"crossref","first-page":"1496","DOI":"10.1109\/TNN.2003.820446","volume":"14","author":"R Kothari","year":"2003","unstructured":"Kothari R, Jain V (2003) Learning from labeled and unlabeled data using a minimal number of queries. IEEE Trans Neural Netw 14(6):1496\u20131505","journal-title":"IEEE Trans Neural Netw"},{"issue":"8","key":"428_CR8","doi-asserted-by":"crossref","first-page":"1251","DOI":"10.1109\/TPAMI.2006.156","volume":"28","author":"L Mingkun","year":"2006","unstructured":"Mingkun L, Sethi IK (2006) Confidence-based active learning. IEEE Trans Pattern Anal Mach Intell 28(8):1251\u20131261","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"428_CR9","unstructured":"Muslea I, Minston S, Knoblock C (2002) Active\u00a0+\u00a0semi-supervised learning\u00a0=\u00a0robust multi-view learning. In: Proceedings of ICML-02, 19th international conference on machine learning, pp\u00a0435\u2013442"},{"key":"428_CR10","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1023\/A:1007692713085","volume":"39","author":"K Nigam","year":"2000","unstructured":"Nigam K, McCallum AK, Thrum S, Mitchell T (2000) Text classification from labeled and unlabeled documents using em. Mach Learn 39:103\u2013134","journal-title":"Mach Learn"},{"key":"428_CR11","doi-asserted-by":"crossref","unstructured":"Blum A, Mitchell T (1998) Combining labeled and unlabeled data with co-training. In: Proceedings of the conference on computational learning theory, pp\u00a092\u2013100","DOI":"10.1145\/279943.279962"},{"key":"428_CR12","first-page":"368","volume":"11","author":"K Bennett","year":"1999","unstructured":"Bennett K, Demiriz A (1999) Semi-supervised support vector machines. Adv Neural Inf Process Syst 11:368\u2013374","journal-title":"Adv Neural Inf Process Syst"},{"key":"428_CR13","unstructured":"Zhu X, Ghahramani Z, Lafferty J (2003) Semi-supervised learning using gaussian fields and harmonic functions. In: ICML-03, 20th international conference on machine learning, pp\u00a0912\u2013919"},{"key":"428_CR14","unstructured":"Zhu X, Lafferty J, Ghahramani Z (2003) Combining active learning and semi-supervised learning using gaussian fields and harmonic functions. In: ICML 2003 workshop on the continuum from labeled to unlabeled data in machine learning and data mining, pp\u00a058\u201365"},{"key":"428_CR15","doi-asserted-by":"crossref","unstructured":"Wang Z, Song Y, Zhang C (2009) Efficient active learning with boosting. In: SDM 2009, pp\u00a01230\u20131241","DOI":"10.1137\/1.9781611972795.105"},{"issue":"1","key":"428_CR16","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.datak.2008.08.008","volume":"68","author":"R Huang","year":"2009","unstructured":"Huang R, Lam W (2009) An active learning framework for semi-supervised document clustering with language modeling. Data Knowl Eng 68(1):49\u201367","journal-title":"Data Knowl Eng"},{"issue":"3","key":"428_CR17","first-page":"16:1","volume":"27","author":"SCH Hoi","year":"2009","unstructured":"Hoi SCH, Jin R, Zhu J, Lyu MR (2009) Semi-supervised SVM batch mode active learning with applications to image retrieval. ACM Trans Inf Syst 27(3):16:1\u201316:29","journal-title":"ACM Trans Inf Syst"},{"key":"428_CR18","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1109\/2.33","volume":"21","author":"GA Carpenter","year":"1988","unstructured":"Carpenter GA, Grossberg S (1988) The art of adaptive pattern recognition by a self-organizing neural network. IEEE Comput 21:77\u201388","journal-title":"IEEE Comput"},{"key":"428_CR19","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.neunet.2005.04.006","volume":"19","author":"F Shen","year":"2006","unstructured":"Shen F, Hasegawa O (2006) An incremental network for on-line unsupervised classification and topology learning. Neural Netw 19:90\u2013106","journal-title":"Neural Netw"},{"issue":"1","key":"428_CR20","doi-asserted-by":"crossref","first-page":"87","DOI":"10.20965\/jaciii.2007.p0087","volume":"11","author":"Y Kamiya","year":"2007","unstructured":"Kamiya Y, Shen F, Hasegawa O (2007) An incremental neural network for online supervised learning and topology learning. J Adv Comput Intell Intell Inform 11(1):87\u201395","journal-title":"J Adv Comput Intell Intell Inform"},{"key":"428_CR21","doi-asserted-by":"crossref","first-page":"1537","DOI":"10.1016\/j.neunet.2008.07.001","volume":"21","author":"F Shen","year":"2008","unstructured":"Shen F, Hasegawa O (2008) A fast nearest neighbor classifier based on self-organizing incremental neural network. Neural Netw 21:1537\u20131547","journal-title":"Neural Netw"},{"key":"428_CR22","doi-asserted-by":"crossref","unstructured":"Sudo A, Sato A, Hasegawa O (2007) Associative memory for online incremental learning ina noisy environment. In: The 2007 international joint conference on neural networks","DOI":"10.1109\/IJCNN.2007.4371028"},{"issue":"1","key":"428_CR23","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.neunet.2009.06.002","volume":"23","author":"F Shen","year":"2010","unstructured":"Shen F, Sudo A, Hasegawa O (2010) An online incremental learning pattern-based reasoning system. Neural Netw 23(1):135\u2013143","journal-title":"Neural Netw"},{"key":"428_CR24","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1016\/j.neunet.2007.07.008","volume":"20","author":"F Shen","year":"2007","unstructured":"Shen F, Ogura T, Hasegawa O (2007) An enhanced self-organizing incremental neural network for online unsupervised learning. Neural Netw 20:893\u2013903","journal-title":"Neural Netw"},{"issue":"2","key":"428_CR25","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1109\/TSMCB.2006.885309","volume":"37","author":"X He","year":"2007","unstructured":"He X, Kojima R, Hasegawa O (2007) Developmental word grounding through a growing neural network with a humanoid robot. IEEE Trans Syst Man Cybern B 37(2):451\u2013462","journal-title":"IEEE Trans Syst Man Cybern B"},{"issue":"5","key":"428_CR26","doi-asserted-by":"crossref","first-page":"1357","DOI":"10.1109\/TSMCB.2007.903447","volume":"37","author":"X He","year":"2007","unstructured":"He X, Ogura T, Satou A, Hasegawa O (2007) Developmental word acquisition and grammar learning by humanoid robots through a self-organizing incremental neural network. IEEE Trans Syst Man Cybern B 37(5):1357\u20131372","journal-title":"IEEE Trans Syst Man Cybern B"},{"key":"428_CR27","unstructured":"Merz C, Murphy M (1996) Uci repository of machine learning database. University of California Department of Information, Irvine"},{"key":"428_CR28","unstructured":"Chang C-C, Lin C-J (2001) IBSVM: a library for support vector machines. http:\/\/www.csie.ntu.edu.tw\/cjlin\/libsvm"},{"key":"428_CR29","unstructured":"Fritzke B (1995) A growing neural gas network learns topology. In: Advances in neural information processing systems 7. MIT, Cambridge"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-010-0428-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-010-0428-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-010-0428-y","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T05:50:46Z","timestamp":1559368246000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-010-0428-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,8,6]]},"references-count":29,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2011,10]]}},"alternative-id":["428"],"URL":"https:\/\/doi.org\/10.1007\/s00521-010-0428-y","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,8,6]]}}}