Multi-category Classification by Soft-Max Combination of Binary Classifiers
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 m...
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| creator | Duan, Kaibo Keerthi, S. Sathiya Chu, Wei Shevade, Shirish Krishnaj Poo, Aun Neow |
| description | 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. |
| doi_str_mv | 10.1007/3-540-44938-8_13 |
| format | Book Chapter |
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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.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Learning and adaptive systems</subject><subject>Negative Label</subject><subject>Positive Label</subject><subject>Posteriori Probability</subject><subject>Support Vector Machine</subject><subject>Test Error Rate</subject><issn>0302-9743</issn><isbn>3540403698</isbn><isbn>9783540403692</isbn><isbn>3540449388</isbn><isbn>9783540449386</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2003</creationdate><recordtype>book_chapter</recordtype><recordid>eNpNkM1TwyAQxXH8GGvt3WMuHqnAQgJHzdSPsR0P6pkBJDWahhrSGfvfS9oe5AL7eL-d3YfQFSVTSkhxA1hwgjlXILHUFI7QBSRlJ8jjQ0EgV_IEjQgQhlXB4QyNlJCCAaP0HE1i_CLpABPJOULPi03T19iZ3i9Dt83KxsRYV3US6tBmdpu9hqrHC_OblWFl63avhyq7S-9_gO_iJTqtTBP95HCP0fv97K18xPOXh6fydo4dSNrjIqfEgpKWS8k-Ci84CGapB2DgvSmo58aCdT63xBWQJ5_nSkGiDDfUwBhd7_uuTXSmqTrTujrqdVev0kSaipxKUJB8070vpq926TttQ_iOmhI95KlBp8D0Lj495JkAODTuws_Gx177gXC-7TvTuE-z7tOaGkjBFOWaDpCAP3U_dKw</recordid><startdate>2003</startdate><enddate>2003</enddate><creator>Duan, Kaibo</creator><creator>Keerthi, S. 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| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2003, Vol.2709, p.125-134 |
| issn | 0302-9743 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_15618393 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Learning and adaptive systems Negative Label Positive Label Posteriori Probability Support Vector Machine Test Error Rate |
| title | Multi-category Classification by Soft-Max Combination of Binary Classifiers |
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