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Volumn 3, Issue , 2015, Pages 1718-1727

Generative moment matching networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; STATISTICAL TESTS; TESTING;

EID: 84970016114     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (887)

References (47)
  • 1
    • 0001578518 scopus 로고
    • A learning algorithm for boltzmann machines
    • Ackley, David H, Hinton, Geoffrey E, and Sejnowski, Terrence J. A learning algorithm for boltzmann machines. Cognitive science, 9(1): 147-169, 1985.
    • (1985) Cognitive Science , vol.9 , Issue.1 , pp. 147-169
    • Ackley, D.H.1    Hinton, G.E.2    Sejnowski, T.J.3
  • 14
    • 0013344078 scopus 로고    scopus 로고
    • Training products of experts by minimizing contrastive divergence
    • Hinton, Geoffrey E. Training products of experts by minimizing contrastive divergence. Neural Computation, 14 (8):1771-1800, 2002.
    • (2002) Neural Computation , vol.14 , Issue.8 , pp. 1771-1800
    • Hinton, G.E.1
  • 15
    • 0029652445 scopus 로고
    • The "wake-sleep" algorithm for unsupervised neural networks
    • Hinton, Geoffrey E, Dayan, Peter, Frey, Brendan J, and Neal, Radford M. The "wake-sleep" algorithm for unsupervised neural networks. Science, 268(5214):1158-1161, 1995.
    • (1995) Science , vol.268 , Issue.5214 , pp. 1158-1161
    • Hinton, G.E.1    Dayan, P.2    Frey, B.J.3    Neal, R.M.4
  • 22
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • LeCun, Yann, Bottou, Leon, Bengio, Yoshua, and Haffner, Patrick. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 24
    • 84899007861 scopus 로고    scopus 로고
    • Neural networks for density estimation
    • Magdon-Ismail, Malik and Atiya, Amir. Neural networks for density estimation. In NIPS, pp. 522-528, 1998.
    • (1998) NIPS , pp. 522-528
    • Magdon-Ismail, M.1    Atiya, A.2
  • 25
    • 85006718556 scopus 로고    scopus 로고
    • A winner-take-all method for training sparse convolutional autoencoders
    • Makhzani, Alireza and Frey, Brendan. A winner-take-all method for training sparse convolutional autoencoders. In NIPS Deep Learning Workshop, 2014.
    • (2014) NIPS Deep Learning Workshop
    • Makhzani, A.1    Frey, B.2
  • 28
    • 77956509090 scopus 로고    scopus 로고
    • Rectified linear units improve restricted boltzmann machines
    • Nair, Vinod and Hinton, Geoffrey E. Rectified linear units improve restricted boltzmann machines. In International Conference on Machine Learning, pp. 807-814, 2010.
    • (2010) International Conference on Machine Learning , pp. 807-814
    • Nair, V.1    Hinton, G.E.2
  • 29
    • 44049116681 scopus 로고
    • Connectionist learning of belief networks
    • Neal, Radford M. Connectionist learning of belief networks. Artificial intelligence, 56(1):71-113, 1992.
    • (1992) Artificial Intelligence , vol.56 , Issue.1 , pp. 71-113
    • Neal, R.M.1
  • 32
    • 84919796093 scopus 로고    scopus 로고
    • Stochastic backpropagation and approximate inference in deep generative models
    • Rezende, Danilo Jimenez, Mohamed, Shakir, and Wierstra, Daan. Stochastic backpropagation and approximate inference in deep generative models. In International Conference on Machine Learning, pp. 1278-1286, 2014.
    • (2014) International Conference on Machine Learning , pp. 1278-1286
    • Rezende, D.J.1    Mohamed, S.2    Wierstra, D.3
  • 40
    • 84867851372 scopus 로고    scopus 로고
    • Technical report, Department of Computer Science, University of Toronto
    • Susskind, Joshua, Anderson, Adam, and Hinton, Geoffrey E. The toronto face dataset. Technical report, Department of Computer Science, University of Toronto, 2010.
    • (2010) The Toronto Face Dataset
    • Susskind, J.1    Anderson, A.2    Hinton, G.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.