메뉴 건너뛰기




Volumn 59, Issue 1-2, 2005, Pages 77-97

Multicategory proximal support vector machine classifiers

Author keywords

Multicategory data classification; Proximal classifiers; Support vector machines

Indexed keywords

MULTICATEGORY DATA CLASSIFICATION; NONLINEAR CLASSIFIERS; PROXIMAL CLASSIFIERS; SUPPROT VECTOR MACHINES;

EID: 21244486307     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-005-0463-6     Document Type: Article
Times cited : (292)

References (38)
  • 4
    • 0033721433 scopus 로고    scopus 로고
    • Massive data discrimination via linear support vector machines
    • Bradley, P. S. & Mangasarian, O. L. (2000). Massive data discrimination via linear support vector machines. Optimization Methods and Software, 13, 1-10. ftp://ftp.cs.wisc.edu/math-prog/tech-reports/98-03.ps.
    • (2000) Optimization Methods and Software , vol.13 , pp. 1-10
    • Bradley, P.S.1    Mangasarian, O.L.2
  • 6
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges, C. J. C. (1998). A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2:2, 121-167.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 7
    • 21344452262 scopus 로고    scopus 로고
    • Hybrid misclassification minimization
    • Chen, C. & Mangasarian, O. L. (1996). Hybrid misclassification minimization. Advances in Computational Mathematics, 5:2, 127-136. ftp://ftp.cs.wisc.edu/math-prog/tech-reports/95-05.ps.
    • (1996) Advances in Computational Mathematics , vol.5 , Issue.2 , pp. 127-136
    • Chen, C.1    Mangasarian, O.L.2
  • 11
    • 0002439508 scopus 로고    scopus 로고
    • Regularization networks and support vector machines
    • A. Smola, P. Bartlett, B. Schölkopf, & D. Schuurmans (Eds.), Cambridge, MA: MIT Press
    • Evgeniou, T., Pontil, M., & Poggio, T. (2000). Regularization networks and support vector machines. In A. Smola, P. Bartlett, B. Schölkopf, & D. Schuurmans (Eds.), Advances in large margin classifiers (pp. 171-203). Cambridge, MA: MIT Press.
    • (2000) Advances in Large Margin Classifiers , pp. 171-203
    • Evgeniou, T.1    Pontil, M.2    Poggio, T.3
  • 13
    • 0035789613 scopus 로고    scopus 로고
    • Proximal support vector machine classifiers
    • F. Provost & R. Srikant (Eds.), San Francisco, CA, New York: Asscociation for Computing Machinery
    • Fung, G. & Mangasarian, O. L. (2001). Proximal support vector machine classifiers. In F. Provost & R. Srikant (Eds.), Proceedings KDD-2001: Knowledge discovery and data mining (pp. 77-86). San Francisco, CA, New York: Asscociation for Computing Machinery, ftp://ftp.cs.wisc.edu/pub/dmi/tech- reports/01-02.ps.
    • (2001) Proceedings KDD-2001: Knowledge Discovery and Data Mining , pp. 77-86
    • Fung, G.1    Mangasarian, O.L.2
  • 14
    • 0033636139 scopus 로고    scopus 로고
    • Support vector machine classification and validation of cnacer tissue samples using microarray expression data
    • Furey, T. S., Duffy, N., Cristianini, N., Bednarski, D., Schummer, M., & Haussler, D. (2000). Support vector machine classification and validation of cnacer tissue samples using microarray expression data. Bioinformatics, 16:10, 906-914.
    • (2000) Bioinformatics , vol.16 , Issue.10 , pp. 906-914
    • Furey, T.S.1    Duffy, N.2    Cristianini, N.3    Bednarski, D.4    Schummer, M.5    Haussler, D.6
  • 17
    • 84942484786 scopus 로고
    • Biased estimation for nonorthogonal problems
    • Hoerl, A. E. & Kennard, R. W. (1952). Biased estimation for nonorthogonal problems. Technometrics, 12, 55-67.
    • (1952) Technometrics , vol.12 , pp. 55-67
    • Hoerl, A.E.1    Kennard, R.W.2
  • 19
    • 0012103713 scopus 로고    scopus 로고
    • On the minimum norm solution of linear programs
    • Preprint, University of Hamburg, Hamburg
    • Kanzow, C., Qi, H., & Qi, L. (2001). On the minimum norm solution of linear programs. Preprint, University of Hamburg, Hamburg. Journal of Optimization Theory and Applications, to appear, http://www.math.uni-hamburg.de/ home/kanzow/paper.html.
    • (2001) Journal of Optimization Theory and Applications
    • Kanzow, C.1    Qi, H.2    Qi, L.3
  • 21
    • 0003710385 scopus 로고    scopus 로고
    • SSVM: A smooth support vector machine
    • Data Mining Institute, University of Wisconsin, Technical Report 99-03
    • Lee, Y.-J. & Mangasarian, O. L. (2001). SSVM: A smooth support vector machine. Computational Optimization and Applications, 20, 5-22. 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
    • Lee, Y.-J.1    Mangasarian, O.L.2
  • 23
    • 0001777975 scopus 로고    scopus 로고
    • Generalized support vector machines
    • A. Smola, P. Bartlett, B. Schölkopf, & D. Schuurmans (Eds.), Cambridge, MA: MIT Press.
    • Mangasarian, O. L. (2000). Generalized support vector machines. In A. Smola, P. Bartlett, B. Schölkopf, & D. Schuurmans (Eds.), Advances in large margin classifiers (pp. 135-146). Cambridge, MA: MIT Press. ftp://ftp.cs.wisc.edu/math-prog/tech-reports/98-14.ps.
    • (2000) Advances in Large Margin Classifiers , pp. 135-146
    • Mangasarian, O.L.1
  • 24
    • 0003977889 scopus 로고
    • The MathWorks, Inc., Natick, MA 01760
    • MATLAB. (1994-2001). User's Guide. The MathWorks, Inc., Natick, MA 01760. http://www.mathworks.com.
    • (1994) User's Guide
  • 26
    • 85049776636 scopus 로고
    • New York: Optimization Software, Inc., Publications Division
    • Polyak, B. T. (1987). Introduction to Optimization. New York: Optimization Software, Inc., Publications Division.
    • (1987) Introduction to Optimization
    • Polyak, B.T.1
  • 28
    • 84898984897 scopus 로고    scopus 로고
    • Nonlinear discriminant analysis using kernel function
    • S. A. Solla, T. K. Leen, & K.-R. Mueller (Eds.)
    • Roth, V. V. & Steinhage, V. (1999). Nonlinear discriminant analysis using kernel function. In S. A. Solla, T. K. Leen, & K.-R. Mueller (Eds.), Advances in neural information processing systems-NIPS*99 (pp. 568-574).
    • (1999) Advances in Neural Information Processing Systems-NIPS*99 , pp. 568-574
    • Roth, V.V.1    Steinhage, V.2
  • 30
    • 0002493574 scopus 로고    scopus 로고
    • Sparse greedy matrix approximation for machine learning
    • San Francisco, CA: Morgan Kaufmann
    • Smola, A. J. & Schölkopf, B. (2000). Sparse greedy matrix approximation for machine learning. Proc. 17th International Conf. on Machine Learning (pp. 911-918). San Francisco, CA: Morgan Kaufmann.
    • (2000) Proc. 17th International Conf. on Machine Learning , pp. 911-918
    • Smola, A.J.1    Schölkopf, B.2
  • 33
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • Suykens, J. A. K. & Vandewalle, J. (1999). Least squares support vector machine classifiers. Neural Processing Letters, 9:3, 293-300.
    • (1999) Neural Processing Letters , vol.9 , Issue.3 , pp. 293-300
    • Suykens, J.A.K.1    Vandewalle, J.2
  • 34
    • 0033334209 scopus 로고    scopus 로고
    • Multiclass least squares support vector machines
    • (pp. CD-ROM). Washington, DC
    • Suykens, J. A. K. & Vandewalle, J. (1999). Multiclass least squares support vector machines. Proceedings of IJCNN'99 (pp. CD-ROM). Washington, DC.
    • (1999) Proceedings of IJCNN'99
    • Suykens, J.A.K.1    Vandewalle, J.2
  • 37
    • 0003425673 scopus 로고    scopus 로고
    • Multi-class support vector machines
    • Royal Holloway, University of London, Surrey, England
    • Weston, J. & Watkins, C. (1998). Multi-class support vector machines. Technical report csd-tr-98-04, Royal Holloway, University of London, Surrey, England.
    • (1998) Technical Report , vol.CSD-TR-98-04
    • Weston, J.1    Watkins, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.