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Volumn , Issue , 2007, Pages 93-100

Statistical translation, heat kernels and expected distances

Author keywords

[No Author keywords available]

Indexed keywords

EXPECTED DISTANCE; HEAT KERNEL; HIGH-DIMENSIONAL; METRIC LEARNING; STATISTICAL MODELING; STATISTICAL TRANSLATION; STRUCTURED DATA; TEXT DOCUMENT;

EID: 80053193803     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (26)
  • 3
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • M. Belkin, P. Niyogi, and V. Sindhwani. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. Journal of Machine Learning Research, 7, 2006.
    • (2006) Journal of Machine Learning Research , vol.7
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 7
    • 84968505420 scopus 로고
    • An extended Čencov characterization of the information metric
    • L. L. Campbell. An extended Čencov characterization of the information metric. Proceedings of the American Mathematical Society, 98(1):135-141, 1986.
    • (1986) Proceedings of the American Mathematical Society , vol.98 , Issue.1 , pp. 135-141
    • Campbell, L.L.1
  • 17
    • 0034790672 scopus 로고    scopus 로고
    • Document language models, query models, and risk minimization for information retrieval
    • J. Lafferty and C. Zhai. Document language models, query models, and risk minimization for information retrieval. In Proc. of the ACM SIGIR conference, 2001.
    • (2001) Proc. of the ACM SIGIR Conference
    • Lafferty, J.1    Zhai, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.