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Volumn 15, Issue , 2011, Pages 425-433

Robust Bayesian matrix factorisation

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE FILTERING; GAUSSIANS; HETEROSCEDASTIC; HYPERPARAMETERS; NON-GAUSSIAN; PREDICTIVE PERFORMANCE; VARIATIONAL INFERENCE;

EID: 84862290304     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (41)

References (26)
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    • Collaborative filtering with interlaced generalized linear models
    • N. Delannay and M. Verleysen. Collaborative filtering with interlaced generalized linear models. Neurocomputing, 71:1300-1310, 2008.
    • (2008) Neurocomputing , vol.71 , pp. 1300-1310
    • Delannay, N.1    Verleysen, M.2
  • 10
    • 0002549585 scopus 로고    scopus 로고
    • Eigentaste: A constant time collaborative filtering algorithm
    • K. Goldberg, T. Roeder, D. Gupta, and C. Perkins. Eigentaste: A constant time collaborative filtering algorithm. Information Retrieval, 4(2):133-151, 2001.
    • (2001) Information Retrieval , vol.4 , Issue.2 , pp. 133-151
    • Goldberg, K.1    Roeder, T.2    Gupta, D.3    Perkins, C.4
  • 11
    • 0018546040 scopus 로고
    • Lower rank approximation of matrices by least squares with any choice of weights
    • K.R. Gabriel and S. Zamir. Lower rank approximation of matrices by least squares with any choice of weights. Technometrics, 21(4):489-498, 1979.
    • (1979) Technometrics , vol.21 , Issue.4 , pp. 489-498
    • Gabriel, K.R.1    Zamir, S.2
  • 15
    • 0002864973 scopus 로고
    • ML estimation of the t distribution using em and its extensions
    • C. Liu and D. B. Rubin. ML estimation of the t distribution using EM and its extensions, ECM and ECME. Statistica Sinica, 5:19-39, 1995.
    • (1995) ECM and ECME. Statistica Sinica , vol.5 , pp. 19-39
    • Liu, C.1    Rubin, D.B.2
  • 16
    • 48249140327 scopus 로고    scopus 로고
    • Variational Bayesian approach to movie rating prediction
    • Y. J. Lim and Y. W. Teh. Variational Bayesian approach to movie rating prediction. In KDD Cup and Workshop, 2007.
    • (2007) KDD Cup and Workshop
    • Lim, Y.J.1    The, Y.W.2
  • 18
    • 55149098958 scopus 로고    scopus 로고
    • Robust low-rank approximation of data matrices with elementwise contamination
    • R.A. Maronna and V.J. Yohai. Robust Low-Rank Approximation of Data Matrices With Elementwise Contamination. Technometrics, 50(3):295-304, 2008.
    • (2008) Technometrics , vol.50 , Issue.3 , pp. 295-304
    • Maronna, R.A.1    Yohai, V.J.2
  • 19
    • 0002788893 scopus 로고    scopus 로고
    • A view of the em algorithm that justifies incremental, sparse, and other variants
    • R.M. Neal and G.E. Hinton. A view of the EM algorithm that justifies incremental, sparse, and other variants. Learning in graphical models, 89:355-368, 1998.
    • (1998) Learning in Graphical Models , vol.89 , pp. 355-368
    • Neal, R.M.1    Hinton, G.E.2
  • 25
    • 27844592624 scopus 로고    scopus 로고
    • Variational inference for Student-t models: Robust Bayesian interpolation and generalised component analysis
    • M. E. Tipping and N. D. Lawrence. Variational inference for Student-t models: robust Bayesian interpolation and generalised component analysis. Neurocomputing, 69:123-141, 2005.
    • (2005) Neurocomputing , vol.69 , pp. 123-141
    • Tipping, M.E.1    Lawrence, N.D.2
  • 26
    • 0012131861 scopus 로고    scopus 로고
    • Variational approximations between mean field theory and the junction tree algorithm
    • W. Wiegerinck. Variational approximations between mean field theory and the junction tree algorithm. In Uncertainty in Artificial Intelligence (UAI), pages 626- 633, 2000.
    • (2000) Uncertainty in Artificial Intelligence (UAI) , pp. 626-633
    • Wiegerinck, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.