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Volumn 2777, Issue , 2003, Pages 102-113

Knowledge-based nonlinear kernel classifiers

Author keywords

Linear programming; Prior knowledge; Support vector machines

Indexed keywords

CLASSIFIERS; COMPUTER VISION; DATA ACQUISITION; LINEAR PROGRAMMING; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; THEOREM PROVING; VECTORS; KNOWLEDGE BASED SYSTEMS;

EID: 9444280785     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-45167-9_9     Document Type: Conference Paper
Times cited : (34)

References (15)
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    • G. Fung, O. L. Mangasarian, and J. Shavlik. Knowledge-based support vector machine classifiers. Technical Report 01-09, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, November 2001. ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/01-09.ps, NIPS 2002 Proceedings, to appear.
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    • 84898823335 scopus 로고    scopus 로고
    • Building projectable classifiers of arbitrary complexity
    • Vienna, Austria
    • T. K. Ho and E. M. Kleinberg. Building projectable classifiers of arbitrary complexity. In Proceedings of the 13th International Conference on Pattern Recognition, pages 880-885, Vienna, Austria, 1996. http://cm.bell-labs. com/who/tkh/pubs.html. Checker dataset at: ftp://ftp.cs.wisc.edu/math-prog/cpo- dataset/machine-learn/checker.
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    • RSVM: Reduced support vector machines
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    • Y.-J. Lee and O. L. Mangasarian. RSVM: Reduced support vector machines, Technical Report 00-07, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, July 2000. Proceedings of the First SIAM International Conference on Data Mining, Chicago, April 5-7, 2001, CDROM Proceedings, ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/00-07.ps.
    • (2000) Technical Report 00-07
    • Lee, Y.-J.1    Mangasarian, O.L.2
  • 8
    • 0003710385 scopus 로고    scopus 로고
    • SSVM: A smooth support vector machine
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    • Y.-J. Lee and O. L. Mangasarian. SSVM: A smooth support vector machine. Computational Optimization and Applications, 20:5-22, 2001. Data Mining Institute, University of Wisconsin, Technical Report 99-03. ftp://ftp.cs.wisc. edu/pub/dmi/tech-reports/99-03.ps.
    • (2001) Computational Optimization and Applications , vol.20 , pp. 5-22
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  • 10
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    • (2000) Advances in Large Margin Classifiers , pp. 135-146
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  • 11
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    • Prior knowledge in support vector kernels
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.