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Volumn , Issue , 2005, Pages 49-55

Leveraging relational autocorrelation with latent group models

Author keywords

[No Author keywords available]

Indexed keywords

AUTOCORRELATION; CLASSIFICATION (OF INFORMATION);

EID: 84957881419     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1090193.1090201     Document Type: Conference Paper
Times cited : (33)

References (22)
  • 9
    • 34548582878 scopus 로고    scopus 로고
    • Discovering latent classes in relational data
    • Massachusetts Institute of Technology
    • C. Kemp, T. Griffiths, and J. Tenenbaum. Discovering latent classes in relational data. Technical Report AI Memo 2004-019, Massachusetts Institute of Technology, 2004.
    • (2004) Technical Report AI Memo 2004-019
    • Kemp, C.1    Griffiths, T.2    Tenenbaum, J.3
  • 11
    • 32044472086 scopus 로고    scopus 로고
    • Classification in networked data: A toolkit and a univariate case study
    • Stern School of Business, New York University
    • S. Macskassy and F. Provost. Classification in networked data: A toolkit and a univariate case study. Technical Report CeDER-04-08, Stern School of Business, New York University, 2004.
    • (2004) Technical Report CeDER-04-08
    • Macskassy, S.1    Provost, F.2
  • 20
    • 0005500020 scopus 로고    scopus 로고
    • Predicate invention in inductive logic programming
    • I. Stahl. Predicate invention in inductive logic programming. In Advances in Inductive Logic Programming, pages 34-47. 1996.
    • (1996) Advances in Inductive Logic Programming , pp. 34-47
    • Stahl, I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.