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Volumn 2, Issue , 2003, Pages 504-511

Hierarchical Latent Knowledge Analysis for Co-occurrence Data

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONCURRENCY CONTROL; HIERARCHICAL SYSTEMS; MATHEMATICAL MODELS; PROBABILITY; PROTEINS; VECTORS;

EID: 1942420760     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (9)
  • 1
    • 0032021533 scopus 로고    scopus 로고
    • A hierarchical latent variable model for data visualization
    • Bishop, C. M., & Tipping, M. E. (1998). A hierarchical latent variable model for data visualization. IEEE Transactions on PAMI, 20, 281-293.
    • (1998) IEEE Transactions on PAMI , vol.20 , pp. 281-293
    • Bishop, C.M.1    Tipping, M.E.2
  • 2
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. J. R. Statist. Soc. B, 39, 1-38.
    • (1977) J. R. Statist. Soc. B , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 3
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • Hofmann, T. (2001). Unsupervised learning by probabilistic latent semantic analysis. Machine Learning, 42, 177-196.
    • (2001) Machine Learning , vol.42 , pp. 177-196
    • Hofmann, T.1
  • 4
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • B. Schölkopf, C. Burges and A. Smola (Eds.). MIT Press
    • Joachims, T. (1999). Making large-scale SVM learning practical. In B. Schölkopf, C. Burges and A. Smola (Eds.), Advances in kernel methods - support vector learning. MIT Press.
    • (1999) Advances in Kernel Methods - Support Vector Learning
    • Joachims, T.1
  • 5
    • 0000216534 scopus 로고    scopus 로고
    • Generalizing case frames using a thesaurus and the MDL principle
    • Li, H., & Abe, N. (1998). Generalizing case frames using a thesaurus and the MDL principle. Computational Linguistics, 24, 217-244.
    • (1998) Computational Linguistics , vol.24 , pp. 217-244
    • Li, H.1    Abe, N.2
  • 6
    • 0036081347 scopus 로고    scopus 로고
    • MIPS: A database for genomes and protein sequences
    • Mewes, H. W., et al. (2002). MIPS: A database for genomes and protein sequences. NAR, 30, 31-34.
    • (2002) NAR , vol.30 , pp. 31-34
    • Mewes, H.W.1
  • 7
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • Rissanen, J. (1978). Modeling by shortest data description. Automatica, 14, 465-471.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 8
    • 0000487102 scopus 로고    scopus 로고
    • Estimating the support of a high-dimensional distribution
    • Scḧlkopf, B., et al. (2001). Estimating the support of a high-dimensional distribution. Neural Computation, 13, 1443-1471.
    • (2001) Neural Computation , vol.13 , pp. 1443-1471
    • Scḧlkopf, B.1
  • 9
    • 0037161731 scopus 로고    scopus 로고
    • Comparative assessment of large-scale datasets of protein-protein interactions
    • von Mering, C., Krause, R., Snel, B., Cornell, M., Oliver, S. G., Fields, S., & Bork, P. (2002). Comparative assessment of large-scale datasets of protein-protein interactions. Nature, 417, 399-403.
    • (2002) Nature , vol.417 , pp. 399-403
    • Von Mering, C.1    Krause, R.2    Snel, B.3    Cornell, M.4    Oliver, S.G.5    Fields, S.6    Bork, P.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.