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https://doi.org/10.1093/biomet/ass086
Title: | Simple tiered classifiers | Authors: | Hall, P. Xia, Y. Xue, J.-H. |
Keywords: | Classification Linear discriminant analysis Linear logistic regression Support vector machine Tiered classifier |
Issue Date: | Jun-2013 | Citation: | Hall, P., Xia, Y., Xue, J.-H. (2013-06). Simple tiered classifiers. Biometrika 100 (2) : 431-445. ScholarBank@NUS Repository. https://doi.org/10.1093/biomet/ass086 | Abstract: | In this paper we propose simple, general tiered classifiers for relatively complex data. Empirical studies on real and simulated data show that three two-tier classifiers, which are respective extensions of linear discriminant analysis, linear logistic regression and support vector machines, can reduce noticeably the relatively high misclassification error of their original single-tier counterparts, without significantly increasing computational labour. © 2013 Biometrika Trust. | Source Title: | Biometrika | URI: | http://scholarbank.nus.edu.sg/handle/10635/105365 | ISSN: | 00063444 | DOI: | 10.1093/biomet/ass086 |
Appears in Collections: | Staff Publications |
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