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Volumn , Issue , 2002, Pages 207-216

A refinement approach to handling model misfit in text categorization

Author keywords

na ve Bayesian classifier; Rocchio algorithm; Text categorization

Indexed keywords

ALGORITHMS; DATA HANDLING; DATA MINING; INFORMATION RETRIEVAL; LEARNING SYSTEMS; MATHEMATICAL MODELS; TEXT PROCESSING;

EID: 0242456817     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/775047.775078     Document Type: Conference Paper
Times cited : (47)

References (42)
  • 1
    • 0030235637 scopus 로고    scopus 로고
    • Error reduction through learning multiple descriptions
    • Ali, K. and Pazzani, M. Error reduction through learning multiple descriptions. achine earning, 1996.
    • (1996) Machine Learning
    • Ali, K.1    Pazzani, M.2
  • 13
    • 0004067283 scopus 로고
    • Flexible metric nearest neighbor classification
    • technical report
    • Friedman, J. Flexible metric nearest neighbor classification. technical report, 1994.
    • (1994)
    • Friedman, J.1
  • 23
    • 0034796806 scopus 로고    scopus 로고
    • A metal-learning approach for text categorization
    • Lam, W. and Lai, K. A metal-learning approach for text categorization. In Proceedings of SIGI, 2001.
    • Proceedings of SIGI, 2001
    • Lam, W.1    Lai, K.2
  • 26
  • 28
    • 25444445739 scopus 로고
    • The weighted majority algorithm
    • Tech. report, UCSC-CRL-89-16: UC. Santa Cruz
    • Littlestone, N. and Warmuth, M. The weighted majority algorithm. Tech. report, UCSC-CRL-89-16: UC. Santa Cruz, 1989.
    • (1989)
    • Littlestone, N.1    Warmuth, M.2
  • 29
    • 0001673996 scopus 로고    scopus 로고
    • A comparison of event models for naive Bayes text classification
    • Tech. Rep. WS-98-05, AAAI Press
    • McCallum, A., & Nigam, K. A comparison of event models for naive Bayes text classification. I-Workshop on Learning for Categorization. Tech. Rep. WS-98-05, AAAI Press, 1998.
    • (1998) I-Workshop on Learning for Categorization
    • McCallum, A.1    Nigam, K.2
  • 34
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictions
    • Schapire, R. and Singer, Y. Improved boosting algorithms using confidence-rated predictions. Machine Learning, 1999.
    • (1999) Machine Learning
    • Schapire, R.1    Singer, Y.2
  • 35
    • 0033905095 scopus 로고    scopus 로고
    • BoosTexter: A boosting-based system for text categorization
    • Schapire, R. and Singer, Y. BoosTexter: A boosting-based system for text categorization, Machine Learning, 2000.
    • (2000) Machine Learning
    • Schapire, R.1    Singer, Y.2
  • 37
    • 0242698214 scopus 로고    scopus 로고
    • Improving the performance of boosting for naive Bayesian classification
    • Ting, K. Improving the performance of boosting for naive Bayesian classification. In Proceedings of KDD, 1999.
    • Proceedings of KDD, 1999
    • Ting, K.1
  • 40
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Yang, Y. An evaluation of statistical approaches to text categorization. Journal of Information Retrieval, 1999.
    • (1999) Journal of Information Retrieval
    • Yang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.