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Volumn 272 CCIS, Issue , 2013, Pages 122-135

A connection between extreme learning machine and neural network kernel

Author keywords

ELM; Extreme learning machine; Neural network kernel

Indexed keywords

KNOWLEDGE ACQUISITION; KNOWLEDGE MANAGEMENT; MACHINE LEARNING;

EID: 84873922670     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-29764-9_8     Document Type: Conference Paper
Times cited : (11)

References (17)
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  • 3
    • 84887012141 scopus 로고    scopus 로고
    • Using SVMs with randomised feature spaces: An extreme learning approach
    • Frenay, B., Verleysen, M.: Using SVMs with randomised feature spaces: an extreme learning approach. In: Proc. of ESANN, pp. 315-320 (2010)
    • (2010) Proc. of ESANN , pp. 315-320
    • Frenay, B.1    Verleysen, M.2
  • 8
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    • Computation with infinite neural networks
    • Williams, C.K.I.: Computation with infinite neural networks. Neural Computation 10, 1203-1216 (1998)
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    • Williams, C.K.I.1
  • 9
    • 78149327741 scopus 로고    scopus 로고
    • Kernel methods for deep learning
    • In: Bengio, Y., Schuurmans, D., Lafferty, J., Williams, C., Culotta, A. (eds.)
    • Cho, Y., Saul, L.K.: Kernel methods for deep learning. In: Bengio, Y., Schuurmans, D., Lafferty, J., Williams, C., Culotta, A. (eds.) Proc. of NIPS, vol. 22, pp. 342-350 (2009)
    • (2009) Proc. of NIPS , vol.22 , pp. 342-350
    • Cho, Y.1    Saul, L.K.2
  • 10
    • 33644847339 scopus 로고    scopus 로고
    • A primer on kernel methods
    • Scholkopf, B., Tsuda, K., Vert, J.P. (Eds.) MIT Press
    • Vert, J.P., Tsuda, K., Scholkopf, B.: A primer on kernel methods. In: Scholkopf, B., Tsuda, K., Vert, J.P. (eds.) Kernel Methods in Computational Biology, pp. 35-70. MIT Press (2004)
    • (2004) Kernel Methods in Computational Biology , pp. 35-70
    • Vert, J.P.1    Tsuda, K.2    Scholkopf, B.3
  • 12
    • 33646391384 scopus 로고    scopus 로고
    • Result analysis of the NIPS 2003 feature selection challenge
    • Guyon, I., Gunn, S.R., Ben-Hur, A., Dror, G.: Result analysis of the NIPS 2003 feature selection challenge. In: Proc. of NIPS (2004)
    • (2004) Proc. of NIPS
    • Guyon, I.1    Gunn, S.R.2    Ben-Hur, A.3    Dror, G.4
  • 13
    • 0345978970 scopus 로고    scopus 로고
    • Expectation propagation for approximate Bayesian inference
    • Minka, T.: Expectation propagation for approximate Bayesian inference. In: Proc. of UAI (2001)
    • (2001) Proc. of UAI
    • Minka, T.1
  • 14
    • 0002361037 scopus 로고
    • Discussion of a set of points in terms of their mutual distances
    • Young, G., Householder, A.S.: Discussion of a set of points in terms of their mutual distances. Psychometrika 3, 19-22 (1938)
    • (1938) Psychometrika , vol.3 , pp. 19-22
    • Young, G.1    Householder, A.S.2
  • 16
    • 78651426442 scopus 로고    scopus 로고
    • Interpreting extreme learning machine as an approximation to an infinite neural network
    • Parviainen, E., Riihimaki, J., Miche, Y., Lendasse, A.: Interpreting Extreme Learning Machine as an approximation to an infinite neural network. In: Proc. of KDIR. INSTICC (2010)
    • (2010) Proc. of KDIR. INSTICC
    • Parviainen, E.1    Riihimaki, J.2    Miche, Y.3    Lendasse, A.4
  • 17
    • 0032028728 scopus 로고    scopus 로고
    • The sample complexity of pattern classification with neural networks: The size of the weights is more important than the size of the network
    • Bartlett, P.L.: The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network. IEEE Transactions on Information Theory 44, 525-536 (1998)
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    • Bartlett, P.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.