Novel multi-class feature selection methods using sensitivity analysis of posterior probabilities

Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICSMC.2008.4811431

Title:	Novel multi-class feature selection methods using sensitivity analysis of posterior probabilities
Authors:	Shen, K.-Q. Ong, C.-J. Li, X.-P. Wilder-Smith, E.P.V.
Keywords:	Feature ranking Feature selection Multi-class classification Support vector machines
Issue Date:	2008
Citation:	Shen, 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. https://doi.org/10.1109/ICSMC.2008.4811431
Source Title:	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
URI:	http://scholarbank.nus.edu.sg/handle/10635/27152
ISSN:	1062922X
DOI:	10.1109/ICSMC.2008.4811431
Appears in Collections:	Staff Publications

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