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Volumn 1, Issue , 2011, Pages 543-548

Sparse matrix-variate t process blockmodels

Author keywords

[No Author keywords available]

Indexed keywords

BLOCKMODEL; COVARIANCE FUNCTION; DATA SETS; GROUP ASSIGNMENTS; INDIVIDUAL NETWORK; MODELING NETWORKS; NETWORK DATA; NETWORK INTERACTION; NETWORK NODE; PREDICTION ACCURACY; REAL-WORLD NETWORKS; RELATIONAL MODEL; SPARSE PRIOR; T DISTRIBUTION; T-MODEL; VARIATIONAL METHODS;

EID: 80055052648     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (15)
  • 3
    • 0007725224 scopus 로고    scopus 로고
    • Variational relevance vector machines
    • Bishop, C., and Tipping, M. E. 2000. Variational relevance vector machines. In 16th UAI.
    • (2000) 16th UAI
    • Bishop, C.1    Tipping, M.E.2
  • 4
    • 0038074373 scopus 로고    scopus 로고
    • Topological structure analysis of the protein-protein interaction network in budding yeast
    • DOI 10.1093/nar/gkg340
    • Bu, D.; Zhao, Y.; Cai, L.; Xue, H.; Zhu, X.; Lu, H.; Zhang, J.; Sun, S.; Ling, L.; Zhang, N.; Li, G.; and Chen, R. 2003. Topological structure analysis of the protein-protein interaction network in budding yeast. Nucl. Acids Res. 31(9):2443-2450. (Pubitemid 37442113)
    • (2003) Nucleic Acids Research , vol.31 , Issue.9 , pp. 2443-2450
    • Bu, D.1    Zhao, Y.2    Cai, L.3    Xue, H.4    Zhu, X.5    Lu, H.6    Zhang, J.7    Sun, S.8    Ling, L.9    Zhang, N.10    Li, G.11    Chen, R.12
  • 8
    • 75849131336 scopus 로고    scopus 로고
    • Modeling homophily and stochastic equivalence in symmetric relational data
    • Hoff, P. 2007. Modeling homophily and stochastic equivalence in symmetric relational data. In Advances in Neural Information Processing Systems 20.
    • (2007) Advances in Neural Information Processing Systems , vol.20
    • Hoff, P.1
  • 10
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D. D., and Seung, H. S. 1999. Learning the parts of objects by non-negative matrix factorization. Nature 401(6755):788-791.
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 11
    • 0031495186 scopus 로고    scopus 로고
    • Estimation and prediction for stochastic blockmodels for graphs with latent block structure
    • Snijders, T. A., and Nowicki, K. 1997. Estimation and prediction for stochastic blockmodels for graphs with latent block structure. Journal of Classification 14(1):75-100.
    • (1997) Journal of Classification , vol.14 , Issue.1 , pp. 75-100
    • Snijders, T.A.1    Nowicki, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.