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Volumn 74, Issue 5, 2011, Pages 771-782

Error tolerance based support vector machine for regression

Author keywords

Error tolerance based support vector machine (ET SVM); Fast algorithm; Growing and pruning support vectors; Online learning; Support vector machine (SVM)

Indexed keywords

ERROR TOLERANCE BASED SUPPORT VECTOR MACHINE (ET-SVM); FAST ALGORITHM; GROWING AND PRUNING SUPPORT VECTORS; ONLINE LEARNING; SUPPORT VECTOR MACHINE (SVM);

EID: 78650751806     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2010.10.002     Document Type: Article
Times cited : (29)

References (27)
  • 3
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • MIT Press, Cambridge MA
    • Platt J.C. Fast training of support vector machines using sequential minimal optimization. Advances in Kernel Methods: Support Vector Machines 1998, 185-208. MIT Press, Cambridge MA.
    • (1998) Advances in Kernel Methods: Support Vector Machines , pp. 185-208
    • Platt, J.C.1
  • 4
    • 0034271493 scopus 로고    scopus 로고
    • Improvements to the SMO algorithms for SVM regression
    • Shevade S.K. Improvements to the SMO algorithms for SVM regression. IEEE Transactions on Neural Networks 2000, 11:1188-1193.
    • (2000) IEEE Transactions on Neural Networks , vol.11 , pp. 1188-1193
    • Shevade, S.K.1
  • 7
    • 84958962423 scopus 로고    scopus 로고
    • Incremental support vector machine learning: a local approach, in: Proceedings of the International on Conference on Artificial Neural Networks, Vienna, Austria,
    • L. Ralaivola, Incremental support vector machine learning: a local approach, in: Proceedings of the International on Conference on Artificial Neural Networks, Vienna, Austria, 2001, pp. 322-329.
    • (2001) , pp. 322-329
    • Ralaivola, L.1
  • 8
    • 78149303576 scopus 로고    scopus 로고
    • Incremental learning with support vector machines, in: Proceedings of International Conference on Data Mining, San Jose, IEEE Computer Science Press
    • S. Ruping, Incremental learning with support vector machines, in: Proceedings of International Conference on Data Mining, San Jose, IEEE Computer Science Press, 2001, pp. 641-642.
    • (2001) , pp. 641-642
    • Ruping, S.1
  • 9
    • 78650724633 scopus 로고    scopus 로고
    • On-line support vector machines for function approximation, Software Department, Universitat Politecnica de Catalunya, Barcelona
    • M. Martin, On-line support vector machines for function approximation, Software Department, Universitat Politecnica de Catalunya, Barcelona, 2002.
    • Martin, M.1
  • 10
    • 85178271848 scopus 로고    scopus 로고
    • Adaptive kernel methods for CDMA systems, in: Proceedings of the International Joint Conference on Neural Networks, Washington DC,
    • A. Kuh, Adaptive kernel methods for CDMA systems, in: Proceedings of the International Joint Conference on Neural Networks, Washington DC, 2001, pp. 1404-1409.
    • (2001) , pp. 1404-1409
    • Kuh, A.1
  • 13
    • 0242288821 scopus 로고    scopus 로고
    • Finite Newton method for Lagrangian support vector machine classification
    • Fung G., Mangasarian O.L. Finite Newton method for Lagrangian support vector machine classification. Neurocomputing 2003, 55:39-55.
    • (2003) Neurocomputing , vol.55 , pp. 39-55
    • Fung, G.1    Mangasarian, O.L.2
  • 14
    • 33750333148 scopus 로고    scopus 로고
    • Sparse support vector regression based on orthogonal forward selection for the generalized kernel model
    • Wang X.X., Chen S., Lowe D., Harris C.J. Sparse support vector regression based on orthogonal forward selection for the generalized kernel model. Neurocomputing 2006, 70:462-474.
    • (2006) Neurocomputing , vol.70 , pp. 462-474
    • Wang, X.X.1    Chen, S.2    Lowe, D.3    Harris, C.J.4
  • 15
    • 34248656230 scopus 로고    scopus 로고
    • Parsimonious least square support vector regression using orthogonal forward selection with the generalised kernel model
    • Wang X.X., Chen S., Lowe D., Harris C.J. Parsimonious least square support vector regression using orthogonal forward selection with the generalised kernel model. International Journal of Modelling, Identification and Control 2006, 1:245-256.
    • (2006) International Journal of Modelling, Identification and Control , vol.1 , pp. 245-256
    • Wang, X.X.1    Chen, S.2    Lowe, D.3    Harris, C.J.4
  • 17
    • 0001071040 scopus 로고
    • A resource allocating network for function interpolation
    • Platt J. A resource allocating network for function interpolation. Neural Computation 1991, 3:213-225.
    • (1991) Neural Computation , vol.3 , pp. 213-225
    • Platt, J.1
  • 18
    • 0036027642 scopus 로고    scopus 로고
    • ABR traffic management using minimal resource allocation neural networks
    • Soon N.H., Sundararajan N., Saratchandran P. ABR traffic management using minimal resource allocation neural networks. Computer Communications 2002, 25:9-20.
    • (2002) Computer Communications , vol.25 , pp. 9-20
    • Soon, N.H.1    Sundararajan, N.2    Saratchandran, P.3
  • 19
    • 0036497449 scopus 로고    scopus 로고
    • Real-time performance evaluation of the minimal radial basis function network for identification of time varying nonlinear systems
    • Leong T.K., Sundararajan N., Saratchandran P. Real-time performance evaluation of the minimal radial basis function network for identification of time varying nonlinear systems. Computers and Electrical Engineering 2002, 28:103-117.
    • (2002) Computers and Electrical Engineering , vol.28 , pp. 103-117
    • Leong, T.K.1    Sundararajan, N.2    Saratchandran, P.3
  • 21
  • 25
    • 84942484786 scopus 로고
    • Ridge regression: biased estimation for nonorthogonal problems
    • Hoerl A.E., Kennard R.W. Ridge regression: biased estimation for nonorthogonal problems. Technometrics 1970, 12:55-67.
    • (1970) Technometrics , vol.12 , pp. 55-67
    • Hoerl, A.E.1    Kennard, R.W.2
  • 26
    • 0002619965 scopus 로고    scopus 로고
    • Ridge regression learning algorithm in dual variables, in: Proceedings of 15th International Conference on Machine Learning, Madison, WI
    • C. Saunders, A. Gammerman, V. Vovk, Ridge regression learning algorithm in dual variables, in: Proceedings of 15th International Conference on Machine Learning, Madison, WI, 1998, pp. 515-521.
    • (1998) , pp. 515-521
    • Saunders, C.1    Gammerman, A.2    Vovk, V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.