{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T06:57:47Z","timestamp":1763017067761},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2010,12,1]],"date-time":"2010-12-01T00:00:00Z","timestamp":1291161600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw."],"published-print":{"date-parts":[[2010,12]]},"DOI":"10.1109\/tnn.2010.2079947","type":"journal-article","created":{"date-parts":[[2010,10,20]],"date-time":"2010-10-20T14:09:50Z","timestamp":1287583790000},"page":"1903-1914","source":"Crossref","is-referenced-by-count":12,"title":["Condensed Vector Machines: Learning Fast Machine for Large Data"],"prefix":"10.1109","volume":"21","author":[{"family":"Dung Duc Nguyen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazunori","family":"Matsumoto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yasuhiro","family":"Takishima","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazuo","family":"Hashimoto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390208"},{"key":"ref32","first-page":"1369","article-title":"coordinate descent method for large-scale l2-loss linear support vector machines","volume":"9","author":"chang","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref31","first-page":"217","article-title":"Training linear SVMs in linear time","author":"thorsten","year":"2006","journal-title":"Proc 12th ACM SIGKDD Int Conf Knowl Discovery Data Mining"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1109\/TNN.2010.2044244","article-title":"sparse approximation through boosting for learning large scale kernel machines","volume":"21","author":"sun","year":"2010","journal-title":"IEEE Trans Neural Netw"},{"key":"ref34","first-page":"341","article-title":"a modified finite newton method for fast solution of large scale linear svms","volume":"6","author":"keerthi","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref10","author":"lon","year":"2007","journal-title":"Large Scale Kernel Machines"},{"key":"ref11","author":"press","year":"2002","journal-title":"Numerical Recipes in C++ The Art of Scientific Computing"},{"key":"ref12","first-page":"409","author":"cauwenberghs","year":"2000","journal-title":"Neural Information Processing Systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2048039"},{"key":"ref14","first-page":"1909","article-title":"Incremental support vector learning: Analysis, implementation and applications","volume":"7","author":"laskov","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref15","first-page":"1579","article-title":"Fast kernel classifiers with online and active learning","volume":"6","author":"antoine","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref16","first-page":"363","article-title":"core vector machines: fast svm training on very large data sets","volume":"6","author":"tsang","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref17","first-page":"1493","article-title":"building support vector machines with reduced classifier complexity","volume":"7","author":"keerthi","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/RIVF.2008.4586359"},{"key":"ref19","first-page":"760","article-title":"simplesvm","author":"vishwanathan","year":"2003","journal-title":"Proc 20th Int Conf Mach Learn"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.878123"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/72.788641"},{"key":"ref27","first-page":"1889","article-title":"working set selection using second order information for training support vector machine","volume":"6","author":"fan","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref3","first-page":"71","article-title":"simplified support vector decision rules","author":"burges","year":"1996","journal-title":"Proc 13th Int Conf Mach Learn"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143960"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1162\/jmlr.2003.4.6.1071"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.873287"},{"key":"ref8","author":"joachims","year":"1998","journal-title":"Advances in Kernel Methods Support Vector Machines"},{"key":"ref7","author":"osuna","year":"1997","journal-title":"Support vector machines Training and applications"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref9","first-page":"185","author":"platt","year":"1999","journal-title":"Advances in Kernel MethodsSupport Vector Learning"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130401"},{"key":"ref20","first-page":"911","article-title":"Sparse greedy matrix approximation for machine learning","author":"smola","year":"2000","journal-title":"Proc 17th Int Conf Mach Learn"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009715923555"},{"key":"ref21","author":"chang","year":"2001","journal-title":"LIBSVM A library for support vector machines"},{"key":"ref24","first-page":"291","article-title":"comments on the core vector machines: fast svm training on very large data sets","volume":"8","author":"loosli","year":"2007","journal-title":"J Mach Learn Res"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972719.13"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/089976602753633402"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1109\/IJCNN.2001.939502","article-title":"ijcnn 2001 challenge: generalization ability and text decoding","author":"chang","year":"2001","journal-title":"Proc Int Joint Conf Neural Netw"}],"container-title":["IEEE Transactions on Neural Networks"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/72\/5641657\/05605254.pdf?arnumber=5605254","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T00:45:59Z","timestamp":1633913159000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/5605254\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,12]]},"references-count":34,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tnn.2010.2079947","relation":{},"ISSN":["1045-9227"],"issn-type":[{"value":"1045-9227","type":"print"}],"subject":[],"published":{"date-parts":[[2010,12]]}}}