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|Title:||Multi-category classification by soft-max combination of binary classifiers||Authors:||Duan, K.
|Issue Date:||2003||Citation:||Duan, K.,Keerthi, S.S.,Chu, W.,Shevade, S.K.,Poo, A.N. (2003). Multi-category classification by soft-max combination of binary classifiers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2709 : 125-134. ScholarBank@NUS Repository.||Abstract:||In this paper, we propose a multi-category classification method that combines binary classifiers through soft-max function. Posteriori probabilities are also obtained. Both, one-versus-all and one-versus-one classifiers can be used in the combination. Empirical comparison shows that the proposed method is competitive with other implementations of one-versus-all and one-versus-one methods in terms of both classification accuracy and posteriori probability estimate. © Springer-Verlag Berlin Heidelberg 2003.||Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)||URI:||http://scholarbank.nus.edu.sg/handle/10635/60839||ISSN:||03029743|
|Appears in Collections:||Staff Publications|
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