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Volumn , Issue , 2004, Pages 301-308

A boosting algorithm for classification of semi-structured text

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SUPPORT VECTOR MACHINES; TEXT PROCESSING; TREES (MATHEMATICS);

EID: 84996469094     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (110)

References (16)
  • 3
    • 0000275022 scopus 로고    scopus 로고
    • Prediction games and arching algoritms
    • Leo Breiman. 1999. Prediction games and arching algoritms. Neural Computation, 11(7):1493 - 1518.
    • (1999) Neural Computation , vol.11 , Issue.7 , pp. 1493-1518
    • Breiman, Leo1
  • 4
    • 33646057547 scopus 로고    scopus 로고
    • New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron
    • Michael Collins and Nigel Duffy. 2002. New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron. In Proc. of ACL.
    • (2002) Proc. of ACL
    • Collins, Michael1    Duffy, Nigel2
  • 5
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Yoav Freund and Robert E. Schapire. 1996. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sicences, 55(1):119-139.
    • (1996) Journal of Computer and System Sicences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Yoav1    Schapire, Robert E.2
  • 7
    • 84873909892 scopus 로고    scopus 로고
    • Svm kernels for semi-structured data
    • Hisashi Kashima and Teruo Koyanagi. 2002. Svm kernels for semi-structured data. In Proc. of ICML, pages 291-298.
    • (2002) Proc. of ICML , pp. 291-298
    • Kashima, Hisashi1    Koyanagi, Teruo2
  • 8
    • 84867658655 scopus 로고    scopus 로고
    • Computing optimal hypotheses efficiently for boosting
    • Springer
    • Shinichi Morhishita. 2002. Computing optimal hypotheses efficiently for boosting. In Progress in Discovery Science, pages 471-481. Springer.
    • (2002) Progress in Discovery Science , pp. 471-481
    • Morhishita, Shinichi1
  • 10
    • 0033905095 scopus 로고    scopus 로고
    • BoosTexter: A boosting-based system for text categorization
    • (/3)
    • Robert E. Schapire and Yoram Singer. 2000. BoosTexter: A boosting-based system for text categorization. Machine Learning, 39(2/3):135-168.
    • (2000) Machine Learning , vol.39 , Issue.2 , pp. 135-168
    • Schapire, Robert E.1    Singer, Yoram2
  • 11
    • 0002595663 scopus 로고    scopus 로고
    • Boosting the margin: a new explanation for the effectiveness of voting methods
    • Robert E. Schapire, Yoav Freund, Peter Bartlett, and Wee Sun Lee. 1997. Boosting the margin: a new explanation for the effectiveness of voting methods. In Proc. of ICML, pages 322-330.
    • (1997) Proc. of ICML , pp. 322-330
    • Schapire, Robert E.1    Freund, Yoav2    Bartlett, Peter3    Lee, Wee Sun4
  • 12
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • Fabrizio Sebastiani. 2002. Machine learning in automated text categorization. ACM Computing Surveys, 34(1):1-47.
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, Fabrizio1
  • 13
    • 85029382631 scopus 로고    scopus 로고
    • Text structuring by composition and decomposition of segments (in Japanese)
    • Naoyoshi Tamura and Keiji Wada. 1996. Text structuring by composition and decomposition of segments (in Japanese). Journal of Natural Language Processing, 5(1).
    • (1996) Journal of Natural Language Processing , vol.5 , Issue.1
    • Tamura, Naoyoshi1    Wada, Keiji2
  • 14
    • 85136072040 scopus 로고    scopus 로고
    • Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews
    • Peter D. Turney. 2002. Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews. In Proc. of ACL, pages 417-424.
    • (2002) Proc. of ACL , pp. 417-424
    • Turney, Peter D.1
  • 15
    • 84912543752 scopus 로고    scopus 로고
    • Learning subjective adjectives from corpora
    • Janyce M. Wiebe. 2000. Learning subjective adjectives from corpora. In Proc. of AAAI/IAAI, pages 735-740.
    • (2000) Proc. of AAAI/IAAI , pp. 735-740
    • Wiebe, Janyce M.1
  • 16
    • 0242709382 scopus 로고    scopus 로고
    • Efficiently mining frequent trees in a forest
    • Mohammed Zaki. 2002. Efficiently mining frequent trees in a forest. In Proc. of SIGKDD, pages 71-80.
    • (2002) Proc. of SIGKDD , pp. 71-80
    • Zaki, Mohammed1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.