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Volumn 195, Issue 3, 2009, Pages 914-923

Knowledge based proximal support vector machines

Author keywords

Knowledge based systems; Pattern classification; Polyhedral sets; Proximal support vector machines; Quadratic programming

Indexed keywords

GEARS; IMAGE RETRIEVAL; LEARNING SYSTEMS; LINEAR EQUATIONS; MULTILAYER NEURAL NETWORKS; QUADRATIC PROGRAMMING; SUPPORT VECTOR MACHINES; VECTORS;

EID: 56349142571     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2007.11.023     Document Type: Article
Times cited : (35)

References (18)
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    • Bradley, P.S., Mangasarian, O.L., 1998. Feature selection via concave minimization and support vector machines. In: Shavlik, J. (Eds.), Machine Learning Proceedings of the Fifteenth International Conference (ICML'98), SanFrancisco, California, pp. 82-90.
  • 2
    • 27144489164 scopus 로고    scopus 로고
    • Tutorial on support vector machines for pattern recognition
    • Burges C.A. Tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 2 (1998)
    • (1998) Data Mining and Knowledge Discovery , vol.2
    • Burges, C.A.1
  • 3
    • 56349131940 scopus 로고    scopus 로고
    • Blake C.L, Merz C.J., 1998. UCI Repository for Machine Learning databases. University of California, Department of Information and Computer Sciences, Irvine, CA. On-line at http://www.ics.uci.edu/mlearn/MLRepository.html.
    • Blake C.L, Merz C.J., 1998. UCI Repository for Machine Learning databases. University of California, Department of Information and Computer Sciences, Irvine, CA. On-line at http://www.ics.uci.edu/mlearn/MLRepository.html.
  • 7
    • 56349155334 scopus 로고    scopus 로고
    • Fung, G., Mangasarian, O.L., Shavlik, J. 2001. Knowledge-based support vector machine classifiers. Technical Report 01-09, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, November. ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/01-09.ps, NIPS 2002 Proceedings. ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/06-04.pdf.
    • Fung, G., Mangasarian, O.L., Shavlik, J. 2001. Knowledge-based support vector machine classifiers. Technical Report 01-09, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, November. ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/01-09.ps, NIPS 2002 Proceedings. ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/06-04.pdf.
  • 8
    • 0035789613 scopus 로고    scopus 로고
    • Fung, G., Mangasarian, O.L., 2001. Proximal Support Vector Machines. Proc. KDD-2001, San Francisco, pp. 77-86.
    • Fung, G., Mangasarian, O.L., 2001. Proximal Support Vector Machines. Proc. KDD-2001, San Francisco, pp. 77-86.
  • 10
    • 56349142669 scopus 로고    scopus 로고
    • Gunn, S.R., 1998. Support Vector Machines for Classification and Regression. Technical Report, School of Electronics and Computer Science, University of Southampton, Southampton, U.K. On-line at: http://www.isis.ecs.soton.ac.uk/resources/svminfo/.
    • Gunn, S.R., 1998. Support Vector Machines for Classification and Regression. Technical Report, School of Electronics and Computer Science, University of Southampton, Southampton, U.K. On-line at: http://www.isis.ecs.soton.ac.uk/resources/svminfo/.
  • 14
    • 56349097405 scopus 로고    scopus 로고
    • Mangasarain, O.L., Wild, E.W., 2006. Nonlinear Knowledge Based Classification. Technical Report 06-04, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, August.
    • Mangasarain, O.L., Wild, E.W., 2006. Nonlinear Knowledge Based Classification. Technical Report 06-04, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, August.
  • 15
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    • Mangasarian, O.L., Musicant, D.R., 2000a. Active Support Vector Machine Classification. Technical Report 00-04, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, April.
    • Mangasarian, O.L., Musicant, D.R., 2000a. Active Support Vector Machine Classification. Technical Report 00-04, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, April.
  • 16
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    • Mangasarian, O.L., Musicant, D.R., 2000b. Lagrangian Support Vector Machines. Technical Report 00-06, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, June.
    • Mangasarian, O.L., Musicant, D.R., 2000b. Lagrangian Support Vector Machines. Technical Report 00-06, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, June.
  • 17
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    • Generalized support vector machines
    • Smola A., et al. (Ed), MIT Press, Cambridge, MA
    • Mangasarian O.L. Generalized support vector machines. In: Smola A., et al. (Ed). Advances in Large Margin Classifiers (2000), MIT Press, Cambridge, MA 135-146
    • (2000) Advances in Large Margin Classifiers , pp. 135-146
    • Mangasarian, O.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.