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Volumn , Issue , 2008, Pages

Gaussian process models for link analysis and transfer learning

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC);

EID: 85161980696     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (23)

References (20)
  • 1
    • 72749096728 scopus 로고    scopus 로고
    • Mixed membership stochastic block models for relational data with application to protein-protein interactions
    • E. M. Airoldi, D. M. Blei, S. E. Fienberg, and E. P. Xing, Mixed membership stochastic block models for relational data with application to protein-protein interactions. Biometrics Society Annual Meeting, 2006.
    • (2006) Biometrics Society Annual Meeting
    • Airoldi, E.M.1    Blei, D.M.2    Fienberg, S.E.3    Xing, E.P.4
  • 5
    • 0036993076 scopus 로고    scopus 로고
    • Collaborative filtering with privacy via factor analysis
    • J. Canny. Collaborative filtering with privacy via factor analysis. International ACM SIGIR Conference, 2002.
    • (2002) International ACM SIGIR Conference
    • Canny, J.1
  • 7
    • 1942482990 scopus 로고    scopus 로고
    • Probabilistic models of text and link structure for hypertext classification
    • L. Getoor, E. Segal, B. Taskar, and D. Koller. Probabilistic models of text and link structure for hypertext classification. ICJAI Workshop, 2001.
    • (2001) ICJAI Workshop
    • Getoor, L.1    Segal, E.2    Taskar, B.3    Koller, D.4
  • 8
    • 34247146505 scopus 로고    scopus 로고
    • Multiplicative latent factor models for description and prediction of social networks
    • to appear in
    • P. Hoff. Multiplicative latent factor models for description and prediction of social networks. to appear in Computational and Mathematical Organization Theory, 2007.
    • (2007) Computational and Mathematical Organization Theory
    • Hoff, P.1
  • 9
    • 75849131336 scopus 로고    scopus 로고
    • Modeling homophily and stochastic equivalence in symmetric relational data
    • to appear in
    • P. Hoff. Modeling homophily and stochastic equivalence in symmetric relational data. to appear in Neural Informaiton Processing Systems 20, 2007.
    • (2007) Neural Informaiton Processing Systems , vol.20
    • Hoff, P.1
  • 10


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.