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Volumn 4, Issue , 2014, Pages 2991-3000

Deep autoregressive networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FEEDFORWARD NEURAL NETWORKS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

EID: 84919796355     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (102)

References (28)
  • 1
    • 0032276811 scopus 로고    scopus 로고
    • A review of simulation optimization techniques
    • Winter, IEEE
    • Andradottir, Sigrun. A review of simulation optimization techniques. In Simulation Conference Proceedings, 1998. Winter, volume 1, pp. 151-158. IEEE, 1998.
    • (1998) Simulation Conference Proceedings, 1998 , vol.1 , pp. 151-158
    • Andradottir, S.1
  • 11
    • 84893548516 scopus 로고    scopus 로고
    • Neural networks for machine learning
    • Hinton, Geoffrey. Neural networks for machine learning. Coursera video lectures, 2012.
    • (2012) Coursera Video Lectures
    • Hinton, G.1
  • 15
    • 45749110924 scopus 로고    scopus 로고
    • Representational power of restricted boltzmann machines and deep belief networks
    • Le Roux, Nicolas and Bengio, Yoshua. Representational power of restricted boltzmann machines and deep belief networks. Neural Computation, 20(6):1631-1649, 2008.
    • (2008) Neural Computation , vol.20 , Issue.6 , pp. 1631-1649
    • Le Roux, N.1    Bengio, Y.2
  • 16
    • 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
  • 18
    • 73249145640 scopus 로고    scopus 로고
    • Evaluating probabilities under high-dimensional latent variable models
    • Koller, D. Schuurmans, D., Bengio, Y. and Bottou, L. (eds)
    • Murray, Iain and Salakhutdinov, Ruslan. Evaluating probabilities under high-dimensional latent variable models. In Koller, D., Schuurmans, D., Bengio, Y., and Bottou, L. (eds.), Advances in Neural Information Processing Systems 21, pp. 1137-1144. 2009.
    • (2009) Advances in Neural Information Processing Systems , vol.21 , pp. 1137-1144
    • Murray, I.1    Salakhutdinov, R.2
  • 22
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • Rissanen, Jorma. Modeling by shortest data description. Automatica, 14(5):465-471, 1978.
    • (1978) Automatica , vol.14 , Issue.5 , pp. 465-471
    • Rissanen, J.1
  • 26
    • 79959575293 scopus 로고    scopus 로고
    • A connection between score matching and denoising autoencoders
    • Vincent, Pascal. A connection between score matching and denoising autoencoders. Neural computation, 23(7): 1661-1674, 2011.
    • (2011) Neural Computation , vol.23 , Issue.7 , pp. 1661-1674
    • Vincent, P.1
  • 28
    • 0000337576 scopus 로고
    • Simple statistical gradient-following algorithms for connectionist reinforcement learning
    • Williams, Ronald J. Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine learning, 8(3-4):229-256, 1992.
    • (1992) Machine Learning , vol.8 , Issue.3-4 , pp. 229-256
    • Williams, R.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.