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Volumn 38, Issue 2, 2004, Pages 93-114

Getting to grips with support vector machines: Theory

Author keywords

Classification; Kernel methods; Primer; SVM

Indexed keywords


EID: 18444415431     PISSN: 0038271X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (38)
  • 1
    • 0003896318 scopus 로고
    • Computer Science and Applied Mathematics. A Series of Monographs and Textbooks. Academic Press, Inc., New York
    • BERTSEKAS, D.P. (1982). Constrained optimization and Lagrange multiplier methods. Computer Science and Applied Mathematics. A Series of Monographs and Textbooks. Academic Press, Inc., New York.
    • (1982) Constrained Optimization and Lagrange Multiplier Methods
    • Bertsekas, D.P.1
  • 4
    • 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. Knowledge Discovery and Data Mining, 2(2), 121-167.
    • (1998) Knowledge Discovery and Data Mining , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 6
    • 0004322633 scopus 로고    scopus 로고
    • Simple learning algorithms for training support vector machines
    • Department of Engineering Mathematics, University of Bristol, Bristol
    • CAMPBELL, C. & CRISTIANINI, N. (1998). Simple learning algorithms for training support vector machines. Tech. rep., Department of Engineering Mathematics, University of Bristol, Bristol.
    • (1998) Tech. Rep.
    • Campbell, C.1    Cristianini, N.2
  • 7
    • 34249753618 scopus 로고
    • Support-vector networks
    • CORTES, C. & VAPNIK, V. (1995). Support-Vector networks. Machine Learning, 20(3), 273-297.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 8
    • 0010442827 scopus 로고    scopus 로고
    • On the algorithmic implementation of multiclass kernel-based vector machines
    • CRAMMER, K. & SINGER, Y. (2001). On the algorithmic implementation of multiclass kernel-based vector machines. Journal of Machine Learning Research, pp. 265-292.
    • (2001) Journal of Machine Learning Research , pp. 265-292
    • Crammer, K.1    Singer, Y.2
  • 9
    • 18444372697 scopus 로고
    • CBMS-NSF Regional Conference Series in Applied Mathematics. Society for Industrial and Applied Mathematics, Philadelphia, Pennsylvania
    • EFRON, B. (1982). The Jackknife, the Bootstrap and other resampling plans. CBMS-NSF Regional Conference Series in Applied Mathematics. Society for Industrial and Applied Mathematics, Philadelphia, Pennsylvania.
    • (1982) The Jackknife, the Bootstrap and Other Resampling Plans
    • Efron, B.1
  • 10
    • 0003798631 scopus 로고    scopus 로고
    • A unified framework for regularization networks and support vector machines
    • Paper No. 171, Massachusetts Institute of Technology: Artificial Intelligence Laboratory/ Center for Biological and Computational Learning (Department of Brain and Cognitive Sciences), Cambridge, Mass. Also appeared as 'Regularization Networks and Support Vector Machines' in 'Advances in Large-Margin Classifiers (Neural Information Processing) (Alexander Johannes Smola, Peter L. Bartlett, Bernhard Schölkopf, and D. Schuurmans, eds.), ch. 10, MIT Press, 2000'
    • EVGENIOU, T., PONTIL, M. & POGGIO, T. (2000). A unified framework for regularization networks and support vector machines. Tech. Rep. A.I. Memo No. 1654/C.B.C.L. Paper No. 171, Massachusetts Institute of Technology: Artificial Intelligence Laboratory/ Center for Biological and Computational Learning (Department of Brain and Cognitive Sciences), Cambridge, Mass. Also appeared as 'Regularization Networks and Support Vector Machines' in 'Advances in Large-Margin Classifiers (Neural Information Processing) (Alexander Johannes Smola, Peter L. Bartlett, Bernhard Schölkopf, and D. Schuurmans, eds.), ch. 10, MIT Press, 2000'.
    • (2000) Tech. Rep. A.I. Memo No. 1654/C.B.C.L.
    • Evgeniou, T.1    Pontil, M.2    Poggio, T.3
  • 11
    • 33747180475 scopus 로고    scopus 로고
    • Predicting time series with a local support vector regression machine
    • FERNÁNDEZ, R. (1999). Predicting time series with a local support vector regression machine. Proceedings of ACAI'99.
    • (1999) Proceedings of ACAI'99
    • Fernández, R.1
  • 12
    • 0001219859 scopus 로고
    • Regularization theory and neural networks architectures
    • GIROSI, F., JONES, M. & POGGIO, T. (1995). Regularization theory and neural networks architectures. Neural Computation, 7(2), 219-269.
    • (1995) Neural Computation , vol.7 , Issue.2 , pp. 219-269
    • Girosi, F.1    Jones, M.2    Poggio, T.3
  • 17
    • 0343423370 scopus 로고
    • Heidelberg Science Library. Springer-Verlag
    • KOO, D. (1977). Elements of optimization. Heidelberg Science Library. Springer-Verlag.
    • (1977) Elements of Optimization
    • Koo, D.1
  • 19
    • 0038007185 scopus 로고    scopus 로고
    • Multicategory support vector machines
    • Department of Statistics, University of Wisconsin-Madison. To appear, Proceedings of the 33rd Symposium on the Interface
    • LEE, Y., LIN, Y. & WAHBA, G. (2001). Multicategory support vector machines. Tech. Rep. TR 1043, Department of Statistics, University of Wisconsin-Madison. To appear, Proceedings of the 33rd Symposium on the Interface.
    • (2001) Tech. Rep. TR , vol.1043
    • Lee, Y.1    Lin, Y.2    Wahba, G.3
  • 20
    • 0031375732 scopus 로고    scopus 로고
    • Nonlinear prediction of chaotic time series using support vector machines
    • J. Principe, L. Gile, N. Morgan & E. Wilson (editors). IEEE, New York
    • MUKHERJEE, S., OSUNA, E. & GIROSI, F. (1997). Nonlinear prediction of chaotic time series using support vector machines. J. Principe, L. Gile, N. Morgan & E. Wilson (editors). Neural networks for signal processing VII - Proceedings of the 1997 IEEE Workshop, pp. 511-520. IEEE, New York.
    • (1997) Neural Networks for Signal Processing VII - Proceedings of the 1997 IEEE Workshop , pp. 511-520
    • Mukherjee, S.1    Osuna, E.2    Girosi, F.3
  • 21
    • 84956628443 scopus 로고    scopus 로고
    • Predicting time series with support vector machines
    • W. Gerstner, A. Germond, M. Hasler & J.-D. Nicoud (editors). Artificial Neural Networks - ICANN '97. ICANN, Springer, Berlin. ISBN 3-540-63631-5
    • MÜLLER, K.-R., SMOLA, A.J., RÄTSCH, G. SCHÖLKOPF, B., KOHLMORGEN, J. & VAPNIK, V.N. (1997). Predicting time series with support vector machines. W. Gerstner, A. Germond, M. Hasler & J.-D. Nicoud (editors). Artificial Neural Networks - ICANN '97, vol. 1327 of Lecture Notes in Computer Science, pp. 999-1004. ICANN, Springer, Berlin. ISBN 3-540-63631-5.
    • (1997) Lecture Notes in Computer Science , vol.1327 , pp. 999-1004
    • Müller, K.-R.1    Smola, A.J.2    Rätsch, G.3    Schölkopf, B.4    Kohlmorgen, J.5    Vapnik, V.N.6
  • 22
    • 0003798627 scopus 로고    scopus 로고
    • MIT Press, Cambridge, MA, as 'Using Support Vector Machines for Time Series Prediction'
    • Also in 'Advances in Kernel Methods - Support Vector Learning, pages 243-253. MIT Press, Cambridge, MA, 1999' as 'Using Support Vector Machines for Time Series Prediction'.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 243-253
  • 23
    • 18444362186 scopus 로고
    • Classical optimization: Foundations and extensions. North-Holland/ American Elsevier
    • PANIK, M.J. (1976). Classical optimization: Foundations and extensions. vol. 16 of Studies in Mathematical and Managerial Economics. North-Holland/American Elsevier.
    • (1976) Studies in Mathematical and Managerial Economics , vol.16
    • Panik, M.J.1
  • 26
    • 1542379687 scopus 로고    scopus 로고
    • Statistical learning and kernel methods
    • Microsoft Research, Microsoft Corporation, One Microsoft Way, Redmond, WA 98052. Course notes of the Interdisciplinary College, Günne, Germany, in March 2000
    • SCHÖLKOPF, B. (2000). Statistical learning and kernel methods. Tech. Rep. MSR-TR-2000-23, Microsoft Research, Microsoft Corporation, One Microsoft Way, Redmond, WA 98052. Course notes of the Interdisciplinary College, Günne, Germany, in March 2000. http://research.microsoft.com/~bsc.
    • (2000) Tech. Rep. , vol.MSR-TR-2000-23
    • Schölkopf, B.1
  • 28
    • 17444438778 scopus 로고    scopus 로고
    • Also appeared in Neural Computation, vol. 12, pp. 1207-1245, 2000.
    • (2000) Neural Computation , vol.12 , pp. 1207-1245
  • 30
    • 0010236547 scopus 로고    scopus 로고
    • On a kernel-based method for pattern recognition, regression, approximation and operator inversion
    • GMD FIRST
    • SMOLA, A.J. & SCHÖLKOPF, B. (1997). On a kernel-based method for pattern recognition, regression, approximation and operator inversion. Technical Report 1064, GMD FIRST.
    • (1997) Technical Report , vol.1064
    • Smola, A.J.1    Schölkopf, B.2
  • 31
    • 24044515976 scopus 로고    scopus 로고
    • Also appeared in Algorithmica, 22:211-231, 1998.
    • (1998) Algorithmica , vol.22 , pp. 211-231
  • 32
    • 0003401675 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • NeuroCOLT, Royal Holloway College, University of London
    • SMOLA, A.J. & SCHÖLKOPF, B. (1998). A tutorial on support vector regression. Tech. Rep. NC2-TR-1998-030, NeuroCOLT, Royal Holloway College, University of London.
    • (1998) Tech. Rep. , vol.NC2-TR-1998-030
    • Smola, A.J.1    Schölkopf, B.2
  • 34
    • 0003969585 scopus 로고
    • Springer Series in Statistics. Springer-Verlag. ISBN 0-387-90733-5. Translated by Samuel Kotz
    • VAPNIK, V.N. (1982). Estimation of dependences based on empirical data. Springer Series in Statistics. Springer-Verlag. ISBN 0-387-90733-5. Translated by Samuel Kotz.
    • (1982) Estimation of Dependences Based on Empirical Data
    • Vapnik, V.N.1
  • 36
    • 84887252594 scopus 로고    scopus 로고
    • Support vector method for function approximation, regression estimation, and signal processing
    • M. Mozer, M.I. Jordan & T. Petsche (editors). MIT Press, Cambridge, MA
    • VAPNIK, V.N., GOLOWICH, S.E. & SMOLA, A.J. (1997). Support vector method for function approximation, regression estimation, and signal processing. M. Mozer, M.I. Jordan & T. Petsche (editors). Advances in Neural Information Processing Systems 9, pp. 281-287. MIT Press, Cambridge, MA.
    • (1997) Advances in Neural Information Processing Systems , vol.9 , pp. 281-287
    • Vapnik, V.N.1    Golowich, S.E.2    Smola, A.J.3
  • 37
    • 10844281405 scopus 로고    scopus 로고
    • Ph.D. thesis, Department of Computer Science, Royal Holloway, University of London, Egham, Surrey
    • WESTON, J.A.E. (1999). Extensions to the support vector method. Ph.D. thesis, Department of Computer Science, Royal Holloway, University of London, Egham, Surrey.
    • (1999) Extensions to the Support Vector Method
    • Weston, J.A.E.1
  • 38
    • 0003425673 scopus 로고    scopus 로고
    • Multi-class support vector machines
    • Department of Computer Science, Royal Holloway, University of London, Egham, Surrey TW20 0EX, England
    • WESTON, J.A.E. & WATKINS, C. (1998). Multi-class support vector machines. Tech. Rep. CSD-TR-98-04, Department of Computer Science, Royal Holloway, University of London, Egham, Surrey TW20 0EX, England.
    • (1998) Tech. Rep. , vol.CSD-TR-98-04
    • Weston, J.A.E.1    Watkins, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.