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Volumn , Issue , 2013, Pages

Joint training of deep Boltzmann machines for classification

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE INFERENCE; CLASSIFICATION TASKS; DEEP BOLTZMANN MACHINES; GENERATIVE MODEL; PSEUDO-LIKELIHOOD; RECURRENT NETWORKS; TRAINING PROCEDURES; VARIATIONAL APPROXIMATION;

EID: 85083952643     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (10)
  • 4
    • 45749110924 scopus 로고    scopus 로고
    • Representational power of restricted boltzmann machines and deep belief networks
    • Le Roux, N. and Bengio, Y. (2008). Representational power of restricted Boltzmann machines and deep belief networks. Neural Computation, 20(6), 1631–1649.
    • (2008) Neural Computation , vol.20 , Issue.6 , pp. 1631-1649
    • Le Roux, N.1    Bengio, Y.2
  • 5
    • 84964756923 scopus 로고    scopus 로고
    • Learning feature hierarchies with cented deep boltzmann machines
    • abs
    • Montavon, G. and Müller, K.-R. (2012). Learning feature hierarchies with cented deep Boltzmann machines. CoRR, abs/1203.4416.
    • (2012) CoRR
    • Montavon, G.1    Müller, K.-R.2
  • 6
    • 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
  • 9
    • 56449086223 scopus 로고    scopus 로고
    • Training restricted boltzmann machines using approximations to the likelihood gradient
    • W. W. Cohen, A. McCallum, and S. T. Roweis, editors, ACM
    • Tieleman, T. (2008). Training restricted Boltzmann machines using approximations to the likelihood gradient. In W. W. Cohen, A. McCallum, and S. T. Roweis, editors, ICML 2008, pages 1064–1071. ACM.
    • (2008) ICML 2008 , pp. 1064-1071
    • Tieleman, T.1
  • 10
    • 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.
    • (1999) Stochastics and Stochastic Reports , vol.65 , Issue.3 , pp. 177-228
    • Younes, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.