Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICSMC.2008.4811431
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dc.titleNovel multi-class feature selection methods using sensitivity analysis of posterior probabilities
dc.contributor.authorShen, K.-Q.
dc.contributor.authorOng, C.-J.
dc.contributor.authorLi, X.-P.
dc.contributor.authorWilder-Smith, E.P.V.
dc.date.accessioned2011-09-27T05:45:19Z
dc.date.available2011-09-27T05:45:19Z
dc.date.issued2008
dc.identifier.citationShen, K.-Q.,Ong, C.-J.,Li, X.-P.,Wilder-Smith, E.P.V. (2008). Novel multi-class feature selection methods using sensitivity analysis of posterior probabilities. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics : 1116-1121. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICSMC.2008.4811431" target="_blank">https://doi.org/10.1109/ICSMC.2008.4811431</a>
dc.identifier.issn1062922X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/27152
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICSMC.2008.4811431
dc.sourceScopus
dc.subjectFeature ranking
dc.subjectFeature selection
dc.subjectMulti-class classification
dc.subjectSupport vector machines
dc.typeConference Paper
dc.contributor.departmentMECHANICAL ENGINEERING
dc.contributor.departmentMEDICINE
dc.description.doi10.1109/ICSMC.2008.4811431
dc.description.sourcetitleConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
dc.description.page1116-1121
dc.identifier.isiutNOT_IN_WOS
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