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Volumn 6912 LNAI, Issue PART 2, 2011, Pages 130-145

Restricted deep belief networks for multi-view learning

Author keywords

[No Author keywords available]

Indexed keywords

CONTRASTIVE DIVERGENCE; GENERATIVE MODEL; HIDDEN NODES; LAYER-WISE; MULTI-VIEW LEARNING; MULTIPLE LAYERS; MULTIPLE VIEWS; NUMERICAL EXPERIMENTS; PARAMETERIZATIONS; REAL-WORLD DATASETS; RESTRICTED BOLTZMANN MACHINE; TWO LAYERS;

EID: 80052398588     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23783-6_9     Document Type: Conference Paper
Times cited : (15)

References (19)
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    • Chen, N., Zhu, J., Xing, E.P.: Predictive subspace learning for multi-view data: A large margin approach. In: Advances in Neural Information Processing Systems (NIPS), vol. 23. MIT Press, Cambridge (2010)
    • (2010) Advances in Neural Information Processing Systems (NIPS) , vol.23
    • Chen, N.1    Zhu, J.2    Xing, E.P.3
  • 5
    • 0013344078 scopus 로고    scopus 로고
    • Training products of experts by minimizing contrastive divergence
    • Hinton, G.E.: 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.E.1
  • 6
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • Hinton, G.E., Osindero, S., Teh, Y.W.: A fast learning algorithm for deep belief nets. Neural Computation 18(7), 1527-1554 (2006)
    • (2006) Neural Computation , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.W.3
  • 7
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • Hinton, G.E., Salakhutdinov, R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504-507 (2006)
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.2
  • 8
    • 0000107975 scopus 로고
    • Relations between two sets of variates
    • Hotelling, H.: Relations between two sets of variates. Biometrika 28, 312-377 (1936)
    • (1936) Biometrika , vol.28 , pp. 312-377
    • Hotelling, H.1
  • 9
    • 84898980901 scopus 로고    scopus 로고
    • Gaussian process latent variable models for visualisation of high dimensional data
    • MIT Press, Cambridge
    • Lawrence, N.: Gaussian process latent variable models for visualisation of high dimensional data. In: Advances in Neural Information Processing Systems (NIPS), vol. 16. MIT Press, Cambridge (2004)
    • (2004) Advances in Neural Information Processing Systems (NIPS) , vol.16
    • Lawrence, N.1
  • 16
    • 0000329993 scopus 로고
    • Information processing in dynamical systems: Foundations of harmony theory
    • Rumelhart, D.E., McClelland, J.L. (eds.) MIT Press, Cambridge
    • Smolensky, P.: Information processing in dynamical systems: Foundations of harmony theory. In: Rumelhart, D.E., McClelland, J.L. (eds.) Parallel Distributed Processing: Explorations in the Microstructures of Cognition: Foundations, vol. 1, pp. 194-281. MIT Press, Cambridge (1986)
    • (1986) Parallel Distributed Processing: Explorations in the Microstructures of Cognition: Foundations , vol.1 , pp. 194-281
    • Smolensky, P.1


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