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Volumn 2600, Issue , 2003, Pages 41-64

A short introduction to learning with kernels

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION;

EID: 35248821683     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36434-x_2     Document Type: Article
Times cited : (64)

References (35)
  • 1
    • 0000874557 scopus 로고
    • Theoretical foundations of the potential function method in pattern recognition learning
    • M. A. Aizerman, É. M. Braverman, and L. I. Rozonoér. Theoretical foundations of the potential function method in pattern recognition learning. Automation and Remote Control, 25:821-837, 1964.
    • (1964) Automation and Remote Control , vol.25 , pp. 821-837
    • Aizerman, M.A.1    Braverman, É.M.2    Rozonoér, L.I.3
  • 2
    • 0031176507 scopus 로고    scopus 로고
    • Scale-sensitive dimensions, uniform convergence, and learnability
    • Noga Alon, Shai Ben-David, Nicolo Cesa-Bianchi, and David Haussler. Scale-sensitive dimensions, uniform convergence, and learnability. Journal of the ACM, 44(4):615-631, 1997.
    • (1997) Journal of the ACM , vol.44 , Issue.4 , pp. 615-631
    • Alon, N.1    Ben-David, S.2    Cesa-Bianchi, N.3    Haussler, D.4
  • 4
    • 0002094343 scopus 로고    scopus 로고
    • Generalization performance of support vector machines and other pattern classifiers
    • B. Scholkopf, C. J. C. Burges, and A. J. Smola, editors, Cambridge, MA, MIT Press
    • P. L. Bartlett and J. Shawe-Taylor. Generalization performance of support vector machines and other pattern classifiers. In B. Scholkopf, C. J. C. Burges, and A. J. Smola, editors, Advances in Kernel Methods - Support Vector Learning, pages 43-54, Cambridge, MA, 1999. MIT Press.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 43-54
    • Bartlett, P.L.1    Shawe-Taylor, J.2
  • 7
    • 84902205493 scopus 로고    scopus 로고
    • Comparison of view-based object recognition algorithms using realistic 3D models
    • C. von der Malsburg, W. von Seelen, J. C. Vorbrüggen, and B. Sendhoff, editors, Artificial Neural Networks ICANN'96, Berlin, Springer
    • V. Blanz, B. Schölkopf, H. Bülthoff, C. Burges, V. Vapnik, and T. Vetter. Comparison of view-based object recognition algorithms using realistic 3D models. In C. von der Malsburg, W. von Seelen, J. C. Vorbrüggen, and B. Sendhoff, editors, Artificial Neural Networks ICANN'96, pages 251-256, Berlin, 1996. Springer Lecture Notes in Computer Science, Vol. 1112.
    • (1996) Lecture Notes in Computer Science , vol.1112 , pp. 251-256
    • Blanz, V.1    Schölkopf, B.2    Bülthoff, H.3    Burges, C.4    Vapnik, V.5    Vetter, T.6
  • 9
    • 84898957872 scopus 로고    scopus 로고
    • Improving the accuracy and speed of support vector learning machines
    • M. C. Mozer, M. I. Jordan, and T. Petsche, editors, Cambridge, MA, MIT Press
    • C. J. C. Burges and B. Schölkopf. Improving the accuracy and speed of support vector learning machines. In M. C. Mozer, M. I. Jordan, and T. Petsche, editors, Advances in Neural Information Processing Systems 9, pages 375-381, Cambridge, MA, 1997. MIT Press.
    • (1997) Advances in Neural Information Processing Systems , vol.9 , pp. 375-381
    • Burges, C.J.C.1    Schölkopf, B.2
  • 10
    • 34249753618 scopus 로고
    • Support vector networks
    • C. Cortes and V. Vapnik. Support vector networks. Machine Learning, 20:273-297, 1995.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 11
    • 0036161034 scopus 로고    scopus 로고
    • Training invariant support vector machines
    • Accepted for publication. Also: Technical Report JPL-MLTR-00-1, Jet Propulsion Laboratory, Pasadena, CA, 2000
    • D. DeCoste and B. Schölkopf. Training invariant support vector machines. Machine Learning, 2002. Accepted for publication. Also: Technical Report JPL-MLTR-00-1, Jet Propulsion Laboratory, Pasadena, CA, 2000.
    • (2002) Machine Learning
    • DeCoste, D.1    Schölkopf, B.2
  • 12
    • 0008267184 scopus 로고    scopus 로고
    • Technical Report UCSC-CRL-99-10, Computer Science Department, UC Santa Cruz
    • D. Haussler. Convolutional kernels on discrete structures. Technical Report UCSC-CRL-99-10, Computer Science Department, UC Santa Cruz, 1999.
    • (1999) Convolutional Kernels on Discrete Structures
    • Haussler, D.1
  • 13
    • 0001500115 scopus 로고
    • Functions of positive and negative type and their connection with the theory of integral equations
    • J. Mercer. Functions of positive and negative type and their connection with the theory of integral equations. Philosophical Transactions of the Royal Society, London, A 209:415-446, 1909.
    • (1909) Philosophical Transactions of the Royal Society, London, A , vol.209 , pp. 415-446
    • Mercer, J.1
  • 14
  • 15
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, Cambridge, MA, MIT Press
    • J. Platt. Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, Advances in Kernel Methods - Support Vector Learning, pages 185-208, Cambridge, MA, 1999. MIT Press.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 185-208
    • Platt, J.1
  • 16
    • 0016765357 scopus 로고
    • On optimal nonlinear associative recall
    • T. Poggio. On optimal nonlinear associative recall. Biological Cybernetics, 19:201-209, 1975.
    • (1975) Biological Cybernetics , vol.19 , pp. 201-209
    • Poggio, T.1
  • 17
    • 0003893955 scopus 로고    scopus 로고
    • R. Oldenbourg Verlag, München, Doktorarbeit, TU Berlin. Download
    • B. Schölkopf. Support Vector Learning. R. Oldenbourg Verlag, München, 1997. Doktorarbeit, TU Berlin. Download: http://www.kernel-machines.org.
    • (1997) Support Vector Learning
    • Schölkopf, B.1
  • 21
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Schölkopf, A. Smola, and K.-R. Müller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10:1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.-R.3
  • 24
    • 0032098361 scopus 로고    scopus 로고
    • The connection between regularization operators and support vector kernels
    • A. Smola, B. Schölkopf, and K.-R. Müller. The connection between regularization operators and support vector kernels. Neural Networks, 11:637-649, 1998.
    • (1998) Neural Networks , vol.11 , pp. 637-649
    • Smola, A.1    Schölkopf, B.2    Müller, K.-R.3
  • 26
    • 84898955546 scopus 로고    scopus 로고
    • Regularization with dot-product kernels
    • T. K. Leen, T. G. Dietterich, and V. Tresp, editors, MIT Press
    • A. J. Smola, Z. L. Óvári, and R. C. Williamson. Regularization with dot-product kernels. In T. K. Leen, T. G. Dietterich, and V. Tresp, editors, Advances in Neural Information Processing Systems 13, pages 308-314. MIT Press, 2001.
    • (2001) Advances in Neural Information Processing Systems , vol.13 , pp. 308-314
    • Smola, A.J.1    Óvári, Z.L.2    Williamson, R.C.3
  • 27
    • 24044515976 scopus 로고    scopus 로고
    • On a kernel-based method for pattern recognition, regression, approximation and operator inversion
    • A. J. Smola and B. Schölkopf. On a kernel-based method for pattern recognition, regression, approximation and operator inversion. Algorithmica, 22:211-231, 1998.
    • (1998) Algorithmica , vol.22 , pp. 211-231
    • Smola, A.J.1    Schölkopf, B.2
  • 30
    • 0004272441 scopus 로고
    • Nauka, Moscow, German Translation: W. Wapnik & A. Tscherwonenkis, Theorie der Zeichenerkennung, Akademie-Verlag, Berlin, 1979
    • V. Vapnik and A. Chervonenkis. Theory of Pattern Recognition [in Russian]. Nauka, Moscow, 1974. (German Translation: W. Wapnik & A. Tscherwonenkis, Theorie der Zeichenerkennung, Akademie-Verlag, Berlin, 1979).
    • (1974) Theory of Pattern Recognition [in Russian]
    • Vapnik, V.1    Chervonenkis, A.2
  • 31
    • 0010864753 scopus 로고
    • Pattern recognition using generalized portrait method
    • V. Vapnik and A. Lerner. Pattern recognition using generalized portrait method. Automation and Remote Control, 24:774-780, 1963.
    • (1963) Automation and Remote Control , vol.24 , pp. 774-780
    • Vapnik, V.1    Lerner, A.2
  • 33
    • 0002531715 scopus 로고    scopus 로고
    • Dynamic alignment kernels
    • A. J. Smola, P. L. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Cambridge, MA, MIT Press
    • C. Watkins. Dynamic alignment kernels. In A. J. Smola, P. L. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 39-50, Cambridge, MA, 2000. MIT Press.
    • (2000) Advances in Large Margin Classifiers , pp. 39-50
    • Watkins, C.1
  • 35
    • 0035441827 scopus 로고    scopus 로고
    • Generalization bounds for regularization networks and support vector machines via entropy numbers of compact operators
    • R. C. Williamson, A. J. Smola, and B. Schölkopf. Generalization bounds for regularization networks and support vector machines via entropy numbers of compact operators. IEEE Transaction on Information Theory, 2001.
    • (2001) IEEE Transaction on Information Theory
    • Williamson, R.C.1    Smola, A.J.2    Schölkopf, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.