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Volumn , Issue , 2005, Pages

Incremental algorithms for hierarchical classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); MODELS; OPTIMIZATION;

EID: 33749236186     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (21)
  • 1
    • 84898994989 scopus 로고    scopus 로고
    • The OHSUMED test collection. URL: medir.ohsu.edu/pub/ohsumed/
    • The OHSUMED test collection. URL: medir.ohsu.edu/pub/ohsumed/.
  • 2
    • 84898953504 scopus 로고    scopus 로고
    • Reuters corpus volume 1. URL: About.reuters.com/researchandstandards/ corpus/
    • Reuters corpus volume 1. URL: About.reuters.com/researchandstandards/ corpus/.
  • 3
  • 4
    • 9444239141 scopus 로고    scopus 로고
    • Learning probabilistic linear-threshold classifiers via selective sampling
    • Springer
    • N. Cesa-Bianchi, A. Conconi, and C. Gentile. Learning probabilistic linear-threshold classifiers via selective sampling. In Proc. 16th COLT, pages 373-386. Springer, 2003.
    • (2003) Proc. 16th COLT , pp. 373-386
    • Cesa-Bianchi, N.1    Conconi, A.2    Gentile, C.3
  • 5
    • 84899011045 scopus 로고    scopus 로고
    • Regret bounds for hierarchical classification with linear-threshold functions
    • Springer, To appear
    • N. Cesa-Bianchi, A. Conconi, and C. Gentile. Regret bounds for hierarchical classification with linear-threshold functions. In Proc. 17th COLT. Springer, 2004. To appear.
    • (2004) Proc. 17th COLT.
    • Cesa-Bianchi, N.1    Conconi, A.2    Gentile, C.3
  • 9
    • 0033656184 scopus 로고    scopus 로고
    • Hierarchical classification of web content
    • ACM Press
    • S.T. Dumais and H. Chen. Hierarchical classification of web content. In Proc. 23rd ACM Int. Conf. RDIR, pages 256-263. ACM Press, 2000.
    • (2000) Proc. 23rd ACM Int. Conf. RDIR , pp. 256-263
    • Dumais, S.T.1    Chen, H.2
  • 12
    • 0002346866 scopus 로고    scopus 로고
    • Hierarchically classifying documents using very few words
    • Morgan Kaufmann
    • D. Koller and M. Sahami. Hierarchically classifying documents using very few words. In Proc. 14th ICML, Morgan Kaufmann, 1997.
    • (1997) Proc. 14th ICML
    • Koller, D.1    Sahami, M.2
  • 14
    • 0002332781 scopus 로고    scopus 로고
    • Improving text classification by shrinkage in a hierarchy of classes
    • Morgan Kaufmann
    • A.K. McCallum, R. Rosenfeld, T.M. Mitchell, and A.Y. Ng. Improving text classification by shrinkage in a hierarchy of classes. In Proc. 15th ICML. Morgan Kaufmann, 1998.
    • (1998) Proc. 15th ICML
    • McCallum, A.K.1    Rosenfeld, R.2    Mitchell, T.M.3    Ng, A.Y.4
  • 16
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • F. Rosenblatt. The Perceptron: A probabilistic model for information storage and organization in the brain. Psychol. Review, 65:386-408, 1958.
    • (1958) Psychol. Review , vol.65 , pp. 386-408
    • Rosenblatt, F.1
  • 17
    • 0242659655 scopus 로고    scopus 로고
    • Hierarchical text categorization using neural networks
    • M.E. Ruiz and P. Srinivasan. Hierarchical text categorization using neural networks. Information Retrieval, 5(1):87-118, 2002.
    • (2002) Information Retrieval , vol.5 , Issue.1 , pp. 87-118
    • Ruiz, M.E.1    Srinivasan, P.2
  • 20
    • 1542310201 scopus 로고    scopus 로고
    • Hierarchical text classification and evaluation
    • IEEE Press
    • A. Sun and E.-P. Lim. Hierarchical text classification and evaluation. In Proc. 2001 Int. Conf. Data Mining, pages 521-528. IEEE Press, 2001.
    • (2001) Proc. 2001 Int. Conf. Data Mining , pp. 521-528
    • Sun, A.1    Lim, E.-P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.