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Volumn 21, Issue 3, 2007, Pages 211-239

Combining multiple classifiers using Dempster's rule for text categorization

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; LEARNING SYSTEMS; MATHEMATICAL MODELS; NUMERICAL METHODS; SUPPORT VECTOR MACHINES;

EID: 33947274593     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/08839510601170887     Document Type: Article
Times cited : (29)

References (30)
  • 2
    • 22044453925 scopus 로고    scopus 로고
    • Probabilistic combination of text classifiers using reliability indicators
    • Bennett, P. N., S. T. Dumais, and E. Horvitz. 2005. Probabilistic combination of text classifiers using reliability indicators. Information Retrieval 8:67-100.
    • (2005) Information Retrieval , vol.8 , pp. 67-100
    • Bennett, P.N.1    Dumais, S.T.2    Horvitz, E.3
  • 6
    • 34249753618 scopus 로고
    • Support vector networks
    • Cortes, C. and V. Vapnik. 1995. Support vector networks, Machine Learning 20:273-297.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 7
    • 0033902309 scopus 로고    scopus 로고
    • A neural network classifier based on Dempster-Shafer theory
    • Denoeux, T. 2000. A neural network classifier based on Dempster-Shafer theory. IEEE Transactions on Systems, Man and Cybernetics A 30(2):131-150.
    • (2000) IEEE Transactions on Systems, Man and Cybernetics A , vol.30 , Issue.2 , pp. 131-150
    • Denoeux, T.1
  • 10
    • 0242712881 scopus 로고    scopus 로고
    • Proceedings of the Cooperative Information Systems (CoopIS) International Conference
    • kNN model-based approach in classification, Springer, Sicily, Italy
    • Guo, G., H. Wang, D. Bell, Y. Bi, and K. Greer. 2003. kNN model-based approach in classification. In: Proceedings of the Cooperative Information Systems (CoopIS) International Conference, pages 986-996, Lecture Notes in Computer Science. Springer, Sicily, Italy.
    • (2003) Lecture Notes in Computer Science , pp. 986-996
    • Guo, G.1    Wang, H.2    Bell, D.3    Bi, Y.4    Greer, K.5
  • 11
    • 0011187879 scopus 로고    scopus 로고
    • Multiple classifier combination: Lessons and next steps
    • eds. T. K. Ho, A. Kandel, and H. Bunke, World Scientific
    • Ho, T. K. 2002. Multiple classifier combination: Lessons and next steps. In: Hybrid Methods in Pattern Recognition, eds. T. K. Ho, A. Kandel, and H. Bunke, 171-198. World Scientific.
    • (2002) Hybrid Methods in Pattern Recognition , pp. 171-198
    • Ho, T.K.1
  • 12
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multi-class support vector machines
    • Hsu, C. W. and C. J. Lin. 2002. A comparison of methods for multi-class support vector machines. IEEE Transactions on Neural Networks 13:415-425.
    • (2002) IEEE Transactions on Neural Networks , vol.13 , pp. 415-425
    • Hsu, C.W.1    Lin, C.J.2
  • 14
    • 0002409860 scopus 로고    scopus 로고
    • A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization
    • Morgan Kaufmann, Nashville, TN
    • Joachims, T. 1997. A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization. In: Proceedings of the Fourteen International Conference on Machine Learning (ICML'97). pp. 143-151, Morgan Kaufmann, Nashville, TN.
    • (1997) Proceedings of the Fourteen International Conference on Machine Learning (ICML'97) , pp. 143-151
    • Joachims, T.1
  • 15
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Proceedings of the European Conference on Machine Learning, pp, Springer, Chemnitz, Germany
    • Joachims, T. 1998. Text categorization with support vector machines: Learning with many relevant features. In: Proceedings of the European Conference on Machine Learning, pp. 137-142, Lecture Notes in Computer Science, Springer, Chemnitz, Germany.
    • (1998) Lecture Notes in Computer Science , pp. 137-142
    • Joachims, T.1
  • 18
    • 0348151971 scopus 로고    scopus 로고
    • Combining classifiers: Soft computing solutions
    • eds. S. K. Pal and A. Pal, World Scientific
    • Kuncheva, L. (2001). Combining classifiers: Soft computing solutions. In: Pattern Recognition: From Classical to Modern Approaches, eds. S. K. Pal and A. Pal, 427-451. World Scientific.
    • (2001) Pattern Recognition: From Classical to Modern Approaches , pp. 427-451
    • Kuncheva, L.1
  • 20
    • 0032274556 scopus 로고    scopus 로고
    • Classification of text documents
    • Li, Y. H. and A. K. Jain. (1998). Classification of text documents. The Computer Journal 41(8):537-546.
    • (1998) The Computer Journal , vol.41 , Issue.8 , pp. 537-546
    • Li, Y.H.1    Jain, A.K.2
  • 23
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • Sebastiani, F. 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, F.1
  • 27
    • 0026860706 scopus 로고
    • Several methods for combining multiple classifiers and their applications in handwritten character recognition
    • Xu, L., A. Krzyzak, and C. Y. Suen, 1992. Several methods for combining multiple classifiers and their applications in handwritten character recognition. IEEE Trans. on System, Man and Cybernetics 22(3):418-435.
    • (1992) IEEE Trans. on System, Man and Cybernetics , vol.22 , Issue.3 , pp. 418-435
    • Xu, L.1    Krzyzak, A.2    Suen, C.Y.3
  • 28
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Yang, Y. 1999. An evaluation of statistical approaches to text categorization. Journal of Information Retrieval 1(1/2):67-88.
    • (1999) Journal of Information Retrieval , vol.1 , Issue.1-2 , pp. 67-88
    • Yang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.