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Volumn 23, Issue 8, 2011, Pages 2058-2073

Quickly generating representative samples from an RBM-derived process

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EID: 79959650504     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/NECO_a_00158     Document Type: Letter
Times cited : (59)

References (13)
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  • 3
    • 79959652387 scopus 로고    scopus 로고
    • Unlearning for better mixing
    • (Tech Rep. 1349)Montreal: Université de Montréal/DIRO
    • Breuleux, O., Bengio, Y., & Vincent, P. (2010). Unlearning for better mixing (Tech. Rep. 1349). Montreal: Université de Montréal/DIRO.
    • (2010)
    • Breuleux, O.1    Bengio, Y.2    Vincent, P.3
  • 6
    • 0013344078 scopus 로고    scopus 로고
    • Training products of experts by minimizing contrastive divergence
    • Hinton, G. E. (2002). Training products of experts by minimizing contrastive divergence. Neural Computation, 14, 1771-1800.
    • (2002) Neural Computation , vol.14 , pp. 1771-1800
    • Hinton, G.E.1
  • 7
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • Hinton, G. E., Osindero, S., & Teh, Y. (2006). A fast learning algorithm for deep belief nets. Neural Computation, 18, 1527-1554.
    • (2006) Neural Computation , vol.18 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.3
  • 8
    • 0004243089 scopus 로고
    • Boltzmann machines: Constraint satisfaction networks that learn (Tech
    • Pittsburgh, PA: Carnegie-Mellon University, Department of Computer Science
    • Hinton, G. E., Sejnowski, T. J., & Ackley, D. H. (1984). Boltzmann machines: Constraint satisfaction networks that learn (Tech. Rep. TR-CMU-CS-84-119). Pittsburgh, PA: Carnegie-Mellon University, Department of Computer Science.
    • (1984) Rep. TR-CMU-CS-84-119)
    • Hinton, G.E.1    Sejnowski, T.J.2    Ackley, D.H.3
  • 9
    • 56449086223 scopus 로고    scopus 로고
    • Training restricted Boltzmann machines using approximations to the likelihood gradient
    • Madison,WI: Omnipress
    • Tieleman, T. (2008). Training restricted Boltzmann machines using approximations to the likelihood gradient. In Proceedings of the 25th International Conference on Machine Learning (pp. 1064-1071). Madison,WI: Omnipress.
    • (2008) Proceedings of the 25th International Conference on Machine Learning , pp. 1064-1071
    • Tieleman, T.1
  • 13
    • 33644756784 scopus 로고    scopus 로고
    • On the convergence of markovian stochastic algorithms with rapidly decreasing ergodicity rates
    • Younes, L. (1998). On the convergence of markovian stochastic algorithms with rapidly decreasing ergodicity rates. Stochastics and Stochastics Reports, 65, 177-228.
    • (1998) Stochastics and Stochastics Reports , vol.65 , pp. 177-228
    • Younes, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.