{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T15:23:51Z","timestamp":1729610631112,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,7]]},"DOI":"10.1109\/ijcnn.2015.7280505","type":"proceedings-article","created":{"date-parts":[[2015,10,1]],"date-time":"2015-10-01T17:48:02Z","timestamp":1443721682000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Semi-supervised Min-Max Modular SVM"],"prefix":"10.1109","author":[{"family":"Yan-Ping Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Yun Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/11539117_64"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.02.053"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1007\/s11460-011-0127-1","article-title":"Learning from Imbalanced Data Sets with a Min-max Modular Support Vector Machine","volume":"6","author":"lu","year":"2011","journal-title":"Frontiers of Electrical and Electronic Engineering in China"},{"key":"ref13","article-title":"Semi-Supervised Learning Literature Survey","author":"zhu","year":"2008","journal-title":"Technical Report 1530 Computer Sciences University of Wisconsin-Madison"},{"key":"ref14","first-page":"367","article-title":"Unbiased generative semi-supervised learning","volume":"15","author":"fox-roberts","year":"2014","journal-title":"The Journal of Machine Learning Research"},{"key":"ref15","first-page":"3581","article-title":"Semi-supervised learning with deep generative models","author":"kingma","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.09.021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.895416"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.186"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"1244","DOI":"10.1109\/72.788664","article-title":"Task decomposition and module combination based on class relations: A modular neuralnetwork for pattern classification","volume":"10","author":"lu","year":"1999","journal-title":"IEEE Trans on Neural Networks"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/3-540-45014-9_1","article-title":"Ensemble methods in machine learning","author":"dietterich","year":"2000","journal-title":"Proc 1st Int'l Workshop Multiple Classifier Systems"},{"key":"ref6","first-page":"735","article-title":"A part-versus-part method for massively parallel training of S upport Vector Machines","author":"lu","year":"2004","journal-title":"Proc of 2004 IEEE Int'l Joint Conf on Neural Networks (IJCNN)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2011.93"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2007.366305"},{"key":"ref7","first-page":"3972","article-title":"Large-scale patent classification with min-max modular support vector machines","volume":"1","author":"chu","year":"0","journal-title":"Proc of Int'l Joint Conf on Neural Networks (IJCNN)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1089815.1089821"},{"key":"ref1","article-title":"Data mining: concepts and techniques","author":"han","year":"2001","journal-title":"Morgan Kaufman"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065710002206"},{"key":"ref20","first-page":"1727","article-title":"Cross Domain Semi-Supervised Learning Using Feature Formulation","volume":"41","author":"zhu","year":"2011","journal-title":"IEEE Trans On Systems Man and Cybernetics Part B"},{"article-title":"Libsvm:a library for support vector machines","year":"0","author":"chang","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2012.02.058"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/11427391_142"},{"article-title":"machine learning data set repository","year":"0","author":"braun","key":"ref23"}],"event":{"name":"2015 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2015,7,12]]},"location":"Killarney, Ireland","end":{"date-parts":[[2015,7,17]]}},"container-title":["2015 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7256526\/7280295\/07280505.pdf?arnumber=7280505","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T16:37:08Z","timestamp":1498235828000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7280505\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2015.7280505","relation":{},"subject":[],"published":{"date-parts":[[2015,7]]}}}