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Volumn , Issue , 2014, Pages 147-152

Tikhonov regularization for deep neural network acoustic modeling

Author keywords

Acoustic model; Deep neural network; Speech recognition; Tikhonov regularization

Indexed keywords

ACOUSTIC MODEL; DEEP NEURAL NETWORKS; OBJECTIVE FUNCTIONS; RESTRICTED BOLTZMANN MACHINE; ROBUSTNESS IN SPEECH RECOGNITION; STRUCTURAL MODELING; TIKHONOV REGULARIZATION; UNSUPERVISED FEATURE LEARNING;

EID: 84946033546     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SLT.2014.7078565     Document Type: Conference Paper
Times cited : (12)

References (15)
  • 2
    • 0000029122 scopus 로고
    • A simple weight decay can improve generalization
    • John E. Moody, Steve J. Hanson, and Richard P. Lippmann, Eds
    • A. Krogh and J. A. Hertz, "A simple weight decay can improve generalization, " in Advances in Neural Information Processing Systems, John E. Moody, Steve J. Hanson, and Richard P. Lippmann, Eds, 1992, vol. 4, pp. 950-957.
    • (1992) Advances in Neural Information Processing Systems , vol.4 , pp. 950-957
    • Krogh, A.1    Hertz, J.A.2
  • 8
    • 84872506495 scopus 로고    scopus 로고
    • A practical guide to training restricted Boltzmann machines
    • (2nd ed.)
    • G. E. Hinton, "A practical guide to training restricted Boltzmann machines, " in Neural Networks: Tricks of the Trade (2nd ed. ), pp. 599-619. 2012.
    • (2012) Neural Networks: Tricks of the Trade , pp. 599-619
    • Hinton, G.E.1
  • 9
    • 0001740650 scopus 로고
    • Training with noise is equivalent to Tikhonov regularization
    • C. M. Bishop, "Training with noise is equivalent to Tikhonov regularization, " Neural Computation, vol. 7, no. 1, pp. 108-116, 1995.
    • (1995) Neural Computation , vol.7 , Issue.1 , pp. 108-116
    • Bishop, C.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.