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Volumn , Issue , 2013, Pages

Multi-prediction deep Boltzmann machines

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION TASKS; DEEP BOLTZMANN MACHINES; INFERENCE PROBLEM; MISSING INPUTS; PREDICTION TASKS; PROBABILISTIC MODELING; PSEUDO-LIKELIHOOD; VARIATIONAL APPROXIMATION;

EID: 84898988737     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (125)

References (22)
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    • 45749110924 scopus 로고    scopus 로고
    • Representational power of restricted Boltzmann machines and deep belief networks
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    • Le Roux, N.1    Bengio, Y.2
  • 13
    • 5044231640 scopus 로고    scopus 로고
    • Learning methods for generic object recognition with invariance to pose and lighting
    • LeCun, Y., Huang, F.-J., and Bottou, L.. Learning methods for generic object recognition with invariance to pose and lighting. In CVPR'2004, pages 97-104.
    • CVPR'2004 , pp. 97-104
    • Lecun, Y.1    Huang, F.-J.2    Bottou, L.3
  • 14
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • LeCun, Y., Bottou, L., Bengio, Y., and Haffner, P. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11), 2278-2324.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • Lecun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 16
    • 0000273048 scopus 로고    scopus 로고
    • Annealed importance sampling
    • Neal, R. M. (2001). Annealed importance sampling. Statistics and Computing, 11(2), 125-139.
    • (2001) Statistics and Computing , vol.11 , Issue.2 , pp. 125-139
    • Neal, R.M.1
  • 20
    • 84883148756 scopus 로고    scopus 로고
    • Empirical risk minimization of graphical model parameters given approximate inference, decoding, and model structure
    • Stoyanov, V., Ropson, A., and Eisner, J. (2011). Empirical risk minimization of graphical model parameters given approximate inference, decoding, and model structure. In AISTATS'2011.
    • (2011) AISTATS'2011
    • Stoyanov, V.1    Ropson, A.2    Eisner, J.3
  • 21
    • 56449086223 scopus 로고    scopus 로고
    • Training restricted Boltzmann machines using approximations to the likelihood gradient
    • Tieleman, T. (2008). Training restricted Boltzmann machines using approximations to the likelihood gradient. In ICML'2008, pages 1064-1071.
    • (2008) ICML'2008 , pp. 1064-1071
    • Tieleman, T.1
  • 22
    • 33644756784 scopus 로고    scopus 로고
    • On the convergence of Markovian stochastic algorithms with rapidly decreasing ergodicity rates
    • Younes, L. (1999). On the convergence of Markovian stochastic algorithms with rapidly decreasing ergodicity rates. Stochastics and Stochastic Reports, 65(3), 177-228.
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    • Younes, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.