메뉴 건너뛰기




Volumn 1886 LNAI, Issue , 2000, Pages 690-700

Supervised and unsupervised learning algorithms for Thai Web pages identification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; COMPUTATIONAL LINGUISTICS; ITERATIVE METHODS; MACHINE LEARNING; UNSUPERVISED LEARNING; WEBSITES; ALGORITHMS; ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS;

EID: 84867796094     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44533-1_69     Document Type: Conference Paper
Times cited : (2)

References (10)
  • 1
    • 0028461417 scopus 로고
    • Automated learning of decision rules for text categorization
    • Apte, C, and Damerau, F. (1994) Automated learning of decision rules for text categorization. ACM TOIS 12(2):233-251.
    • (1994) ACM TOIS , vol.12 , Issue.2 , pp. 233-251
    • Apte, C.1    Damerau, F.2
  • 3
    • 0001345686 scopus 로고    scopus 로고
    • Context-sensitive learning methods for text categorization
    • Cohen, W. W. and Singer, Y. (1999) Context-sensitive learning methods for text categorization. ACM Transactions on Information Systems, Vol. 17, No. 2, 141-173.
    • (1999) ACM Transactions on Information Systems , vol.17 , Issue.2 , pp. 141-173
    • Cohen, W.W.1    Singer, Y.2
  • 5
    • 0000636553 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Springer Verlag
    • Joachims, T. (1998) Text categorization with support vector machines: Learning with many relevant features. Proceedings Tenth European Conference on Machine Learning, Springer Verlag.
    • (1998) Proceedings Tenth European Conference on Machine Learning
    • Joachims, T.1
  • 8
    • 0004255908 scopus 로고    scopus 로고
    • McGraw-Hill. New York
    • Mitchell, T. (1997) Machine Learning, pp. 180-184, McGraw-Hill. New York.
    • (1997) Machine Learning , pp. 180-184
    • Mitchell, T.1
  • 9
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using EM
    • Nigam, K., McCallum, A., Thrun, S., and Mitchell, T. (2000) Text classification from labeled and unlabeled documents using EM. Machine Learning 39(2/3): 103-134.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 103-134
    • Nigam, K.1    McCallum, A.2    Thrun, S.3    Mitchell, T.4
  • 10
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Yang, Y. (1999) An evaluation of statistical approaches to text categorization, Information Retrieval Journal.
    • (1999) Information Retrieval Journal
    • Yang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.