Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification

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dc.contributor.author Liu, Bo en_US
dc.contributor.author Hao, Zhifeng en_US
dc.contributor.author Tsang, Eric en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-02-02T09:46:04Z
dc.date.available 2012-02-02T09:46:04Z
dc.date.issued 2008 en_US
dc.identifier 2008000254 en_US
dc.identifier.citation Liu Bo, Hao Zhifeng, and Tsang Eric 2008, 'Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification', IEEE-Inst Electrical Electronics Engineers Inc, vol. 19, no. 12, pp. 2044-2052. en_US
dc.identifier.issn 1045-9227 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/15153
dc.description.abstract Support vector machines (SVMs), which were originally designed for binary classifications, are an excellent tool for machine learning. For the multiclass classifications, they are usually converted into binary ones before they can be used to classify the en_US
dc.language en_US
dc.publisher IEEE-Inst Electrical Electronics Engineers Inc en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/TNN.2008.2003298 en_US
dc.title Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification en_US
dc.parent IEEE Transactions On Neural Networks en_US
dc.journal.volume 19 en_US
dc.journal.number 12 en_US
dc.publocation Piscataway, USA en_US
dc.identifier.startpage 2044 en_US
dc.identifier.endpage 2052 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 080100 en_US
dc.personcode 100970 en_US
dc.personcode 0000028511 en_US
dc.personcode 0000046886 en_US
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity ISI:000261544900005 en_US
dc.description.keywords Support Vector Machines; Multiclass Classification en_US


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