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Volumn , Issue , 2004, Pages 981-982

Learnable similarity functions and their applications to clustering and record linkage

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA ACQUISITION; DATA MINING; DATABASE SYSTEMS; MARKOV PROCESSES; MATHEMATICAL MODELS; PROBABILISTIC LOGICS;

EID: 9444281954     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (17)
  • 13
    • 2342517502 scopus 로고    scopus 로고
    • Think globally, fit locally: Un-supervised learning of low dimensional manifolds
    • Saul, L., and Roweis, S. 2003. Think globally, fit locally: un-supervised learning of low dimensional manifolds. Journal of Machine Learning Research 4:119-155.
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 119-155
    • Saul, L.1    Roweis, S.2
  • 17
    • 84879571292 scopus 로고    scopus 로고
    • Distance metric learning, with application to clustering with side-information
    • Cambridge, MA: MIT Press
    • Xing, E. P.; Ng, A. Y.; Jordan, M. I.; and Russell, S. 2003. Distance metric learning, with application to clustering with side-information. In Advances in Neural Information Processing Systems 15, 505-512. Cambridge, MA: MIT Press.
    • (2003) Advances in Neural Information Processing Systems , vol.15 , pp. 505-512
    • Xing, E.P.1    Ng, A.Y.2    Jordan, M.I.3    Russell, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.