Convergence of a Generalized SMO Algorithm for SVM Classifier Design
dc.contributor.author | Keerthi, S. S. | en_US |
dc.contributor.author | Gilbert, Elmer Grant | en_US |
dc.date.accessioned | 2006-09-11T18:25:25Z | |
dc.date.available | 2006-09-11T18:25:25Z | |
dc.date.issued | 2002-01 | en_US |
dc.identifier.citation | Keerthi, S.S.; Gilbert, E.G.; (2002). "Convergence of a Generalized SMO Algorithm for SVM Classifier Design." Machine Learning 46 (1-3): 351-360. <http://hdl.handle.net/2027.42/46957> | en_US |
dc.identifier.issn | 0885-6125 | en_US |
dc.identifier.issn | 1573-0565 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/46957 | |
dc.description.abstract | Convergence of a generalized version of the modified SMO algorithms given by Keerthi et al. for SVM classifier design is proved. The convergence results are also extended to modified SMO algorithms for solving ν-SVM classifier problems. | en_US |
dc.format.extent | 89390 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science+Business Media | en_US |
dc.subject.other | Computer Science | en_US |
dc.subject.other | Computer Science, General | en_US |
dc.subject.other | Artificial Intelligence (Incl. Robotics) | en_US |
dc.subject.other | Automation and Robotics | en_US |
dc.subject.other | Support Vector Machine | en_US |
dc.subject.other | SMO Algorithm | en_US |
dc.subject.other | Convergence | en_US |
dc.title | Convergence of a Generalized SMO Algorithm for SVM Classifier Design | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Computer Science | en_US |
dc.subject.hlbsecondlevel | Science (General) | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, 48109-2140, USA | en_US |
dc.contributor.affiliationother | Department of Mechanical Engineering, National University of Singapore, Singapore, 119260 | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/46957/1/10994_2004_Article_380512.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1023/A:1012431217818 | en_US |
dc.identifier.source | Machine Learning | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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