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Volumn , Issue , 2006, Pages 977-984

Modeling Dyadic Data with Binary Latent Factors

Author keywords

[No Author keywords available]

Indexed keywords

MATRIX FACTORIZATION;

EID: 85069300650     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (13)
  • 1
    • 0001179408 scopus 로고
    • Competition and multiple cause models
    • P. Dayan and R. S. Zemel. Competition and multiple cause models. Neural Computation, 7(3), 1995.
    • (1995) Neural Computation , vol.7 , Issue.3
    • Dayan, P.1    Zemel, R. S.2
  • 2
    • 0025604930 scopus 로고
    • Forming sparse representations by local anti-Hebbian learning
    • P. Foldiak. Forming sparse representations by local anti-Hebbian learning. Biological Cybernetics, 64, 1990.
    • (1990) Biological Cybernetics , vol.64
    • Foldiak, P.1
  • 3
    • 0000258816 scopus 로고
    • Factorial learning and the EM algorithm
    • MIT Press
    • Z. Ghahramani. Factorial learning and the EM algorithm. In NIPS, volume 7. MIT Press, 1995.
    • (1995) NIPS , vol.7
    • Ghahramani, Z.1
  • 5
    • 84864043341 scopus 로고    scopus 로고
    • Infinite latent feature models and the Indian buffet process
    • MIT Press
    • T. Griffiths and Z. Ghahramani. Infinite latent feature models and the Indian buffet process. In NIPS, volume 18. MIT Press, 2005.
    • (2005) NIPS , vol.18
    • Griffiths, T.1    Ghahramani, Z.2
  • 7
    • 0002834189 scopus 로고
    • Autoencoders, minimum description length, and Helmholtz free energy
    • Morgan Kaufmann
    • G. Hinton and R. S. Zemel. Autoencoders, minimum description length, and Helmholtz free energy. In NIPS, volume 6. Morgan Kaufmann, 1994.
    • (1994) NIPS , vol.6
    • Hinton, G.1    Zemel, R. S.2
  • 8
    • 85069299566 scopus 로고    scopus 로고
    • Splitting and merging for a nonconjugate Dirichlet process mixture model
    • S. Jain and R. M. Neal. Splitting and merging for a nonconjugate Dirichlet process mixture model. To appear in Bayesian Analysis.
    • To appear in Bayesian Analysis
    • Jain, S.1    Neal, R. M.2
  • 10
    • 0036012349 scopus 로고    scopus 로고
    • Plaid models for gene expression data
    • L. Lazzeroni and A. Owen. Plaid models for gene expression data. Statistica Sinica, 12, 2002.
    • (2002) Statistica Sinica , vol.12
    • Lazzeroni, L.1    Owen, A.2
  • 12
    • 0003040479 scopus 로고
    • A multiple cause mixture model for unsupervised learning
    • E. Saund. A multiple cause mixture model for unsupervised learning. Neural Computation, 7(1), 1994.
    • (1994) Neural Computation , vol.7 , Issue.1
    • Saund, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.