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Volumn 7887 LNCS, Issue , 2013, Pages 460-467

Do we really need all these neurons?

Author keywords

classification; hidden units; Retricted Boltzmann Machine; unsupervised learning

Indexed keywords

BOLTZMANN MACHINES; HIDDEN UNITS; INCREMENTAL ALGORITHM; RESTRICTED BOLTZMANN MACHINE;

EID: 84883159617     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38628-2_54     Document Type: Conference Paper
Times cited : (3)

References (9)
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  • 2
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    • Freund, Y., Haussler, D.: Unsupervised learning of distributions on binary vectors using two layer networks. In: Advances in Neural Information Processing Systems 4, San Mateo, CA, USA, pp. 912-919 (1992)
    • (1992) Advances in Neural Information Processing Systems , vol.4 , pp. 912-919
    • Freund, Y.1    Haussler, D.2
  • 3
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    • Training products of experts by minimizing contrastive divergence
    • Hinton, G.: 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.1
  • 5
    • 85162368944 scopus 로고    scopus 로고
    • Expressive power and approximation errors of restricted boltzmann machines
    • Shawe-Taylor, J., Zemel, R.S., Bartlett, P.L., Pereira, F.C.N., Weinberger, K.Q. (eds.)
    • Montufar, G., Rauh, J., Ay, N.: Expressive power and approximation errors of restricted boltzmann machines. In: Shawe-Taylor, J., Zemel, R.S., Bartlett, P.L., Pereira, F.C.N., Weinberger, K.Q. (eds.) NIPS, pp. 415-423 (2011)
    • (2011) NIPS , pp. 415-423
    • Montufar, G.1    Rauh, J.2    Ay, N.3
  • 6
    • 45749110924 scopus 로고    scopus 로고
    • Representational power of restricted Boltzmann machines and deep belief networks
    • Le Roux, N., Bengio, Y.: 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
  • 7
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    • Refinements of universal approximation results for deep belief networks and restricted boltzmann machines
    • Montufar, G., Ay, N.: Refinements of universal approximation results for deep belief networks and restricted boltzmann machines. Neural Computation 23(5), 1306-1319 (2011)
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    • Montufar, G.1    Ay, N.2
  • 9
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    • Shannon, C.E.: A mathematical theory of communication. Bell System Technical Journal 27(3), 379-423 (1948)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.