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Volumn , Issue , 2009, Pages 1313-1320

Weighted sums of random kitchen sinks: Replacing minimization with randomization in learning

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); STATISTICAL TESTS; TEACHING;

EID: 78149297677     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (712)

References (14)
  • 1
    • 0000430986 scopus 로고
    • The perceptron: A model for brain functioning
    • January
    • H. D. Block. The perceptron: a model for brain functioning. Review of modern physics, 34:123-135, January 1962.
    • (1962) Review of Modern Physics , vol.34 , pp. 123-135
    • Block, H.D.1
  • 2
    • 0001492549 scopus 로고    scopus 로고
    • Shape quantization and recognition with randomized trees
    • Y. Amit and D. Geman. Shape quantization and recognition with randomized trees. Neural Computation, 9(7):1545-1588, 1997. (Pubitemid 127462804)
    • (1997) Neural Computation , vol.9 , Issue.7 , pp. 1545-1588
    • Amit, Y.1    Geman, D.2
  • 5
    • 6344235224 scopus 로고    scopus 로고
    • On the computational power of circuits of spiking neurons
    • December
    • W. Maass and H. Markram. On the computational power of circuits of spiking neurons. Journal of Computer and System Sciences, 69:593-616, December 2004.
    • (2004) Journal of Computer and System Sciences , vol.69 , pp. 593-616
    • Maass, W.1    Markram, H.2
  • 7
    • 0037806811 scopus 로고    scopus 로고
    • The boosting approach to machine learning: An overview
    • D. D. Denison, M. H. Hansen, C. Holmes, B. Mallick, and B. Yu, editors. Springer
    • R. E. Schapire. The boosting approach to machine learning: An overview. In D. D. Denison, M. H. Hansen, C. Holmes, B. Mallick, and B. Yu, editors, Nonlinear Estimation and Classification. Springer, 2003.
    • (2003) Nonlinear Estimation and Classification
    • Schapire, R.E.1
  • 9
    • 0000796112 scopus 로고
    • A simple lemma on greedy approximation in Hilbert space and convergence rates for projection pursuit regression and neural network training
    • March
    • L. K. Jones. A simple lemma on greedy approximation in Hilbert space and convergence rates for projection pursuit regression and neural network training. The Annals of Statistics, 20(1):608-613, March 1992.
    • (1992) The Annals of Statistics , vol.20 , Issue.1 , pp. 608-613
    • Jones, L.K.1
  • 11
    • 0027599793 scopus 로고
    • Universal approximation bounds for superpositions of a sigmoidal function
    • May
    • A.R. Barron. Universal approximation bounds for superpositions of a sigmoidal function. IEEE Transactions on Information Theory, 39:930-945, May 1993.
    • (1993) IEEE Transactions on Information Theory , vol.39 , pp. 930-945
    • Barron, A.R.1
  • 12
  • 14
    • 57649240046 scopus 로고    scopus 로고
    • Approximation error bounds via Rademacher's complexity
    • G. Gnecco and M. Sanguineti. Approximation error bounds via Rademacher's complexity. Applied Mathematical Sciences, 2(4):153-176, 2008.
    • (2008) Applied Mathematical Sciences , vol.2 , Issue.4 , pp. 153-176
    • Gnecco, G.1    Sanguineti, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.