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Volumn , Issue , 2002, Pages 857-864

Extracting Relevant Structures with Side Information

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; SIGNAL DISTORTION; TEXT PROCESSING;

EID: 85156234841     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (59)

References (17)
  • 1
    • 0032264186 scopus 로고    scopus 로고
    • Distributional clustering of words for text classification
    • L.D. Baker and A. K. McCallum. Distributional clustering of words for text classification. In Proc. of SIGIR, 1998.
    • (1998) Proc. of SIGIR
    • Baker, L.D.1    McCallum, A. K.2
  • 4
    • 0033656184 scopus 로고    scopus 로고
    • Hierarchical classification of web content
    • S. Dumais and H. Chen. Hierarchical classification of web content. In Proc. of SIGIR, pages 256-263, 2000.
    • (2000) Proc. of SIGIR , pp. 256-263
    • Dumais, S.1    Chen, H.2
  • 6
    • 85026972772 scopus 로고    scopus 로고
    • Probabilistic latent semantic indexing
    • T. Hoffman. Probabilistic latent semantic indexing. In Proc. of SIGIR, pages 50-57, 1999.
    • (1999) Proc. of SIGIR , pp. 50-57
    • Hoffman, T.1
  • 11
    • 0036133934 scopus 로고    scopus 로고
    • Clustering based on conditional distribution in an auxiliary space
    • J. Sinkkonen and S. Kaski. Clustering based on conditional distribution in an auxiliary space. Neural Computation, 14:217-239, 2001.
    • (2001) Neural Computation , vol.14 , pp. 217-239
    • Sinkkonen, J.1    Kaski, S.2
  • 12
    • 0036993190 scopus 로고    scopus 로고
    • Unsupervised document classification using sequential information maximization
    • N. Slonim, N. Friedman, and N. Tishby. Unsupervised document classification using sequential information maximization. In Proc. of SIGIR, pages 129-136, 2002.
    • (2002) Proc. of SIGIR , pp. 129-136
    • Slonim, N.1    Friedman, N.2    Tishby, N.3
  • 14
    • 0002096830 scopus 로고    scopus 로고
    • Document clustering using word clusters via the information bottleneck method
    • N. Slonim and N. Tishby. Document clustering using word clusters via the information bottleneck method. In Proc. of SIGIR, pages 208-215, 2000.
    • (2000) Proc. of SIGIR , pp. 208-215
    • Slonim, N.1    Tishby, N.2
  • 16
    • 0036498205 scopus 로고    scopus 로고
    • A probabilistic framework for the hierarchic organization and classification of document collections
    • A. Vinokourov and M.Girolani. A probabilistic framework for the hierarchic organization and classification of document collections. J. Intell. Info Sys., 18(23):153-172, 2002.
    • (2002) J. Intell. Info Sys , vol.18 , Issue.23 , pp. 153-172
    • Vinokourov, A.1    Girolani, M.2
  • 17
    • 0016882596 scopus 로고
    • The rate distortion function for source coding with side information at the decoder
    • A. Wyner and J. Ziv. The rate distortion function for source coding with side information at the decoder. IEEE Trans. Information Theory, 22(1):1-10, 1976.
    • (1976) IEEE Trans. Information Theory , vol.22 , Issue.1 , pp. 1-10
    • Wyner, A.1    Ziv, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.