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Volumn 43, Issue 5, 2007, Pages 1281-1293

Using the revised EM algorithm to remove noisy data for improving the one-against-the-rest method in binary text classification

Author keywords

Binary text classification; The EM algorithm; The one against the rest method; The sliding window technique

Indexed keywords

ALGORITHMS; DATA STRUCTURES; INFORMATION RETRIEVAL; SPURIOUS SIGNAL NOISE; TEXT PROCESSING;

EID: 34247349127     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipm.2006.11.003     Document Type: Article
Times cited : (9)

References (25)
  • 1
    • 84867919822 scopus 로고
    • Transformation-based error-driven learning and natural language processing: a case study in part of speech tagging
    • Brill E. Transformation-based error-driven learning and natural language processing: a case study in part of speech tagging. Computational Linguistics 21 4 (1995) 543-566
    • (1995) Computational Linguistics , vol.21 , Issue.4 , pp. 543-566
    • Brill, E.1
  • 4
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods of multi-class support vector machines
    • Hsu C.W., and Lin C.J. A comparison of methods of multi-class support vector machines. IEEE Transactions on Neural Networks 13 (2002) 415-425
    • (2002) IEEE Transactions on Neural Networks , vol.13 , pp. 415-425
    • Hsu, C.W.1    Lin, C.J.2
  • 5
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Springer
    • Joachims T. Text categorization with support vector machines: Learning with many relevant features. Proceedings of European conference on machine learning (ECML) (1998), Springer 137-142
    • (1998) Proceedings of European conference on machine learning (ECML) , pp. 137-142
    • Joachims, T.1
  • 7
    • 0344927122 scopus 로고    scopus 로고
    • Improving text categorization using the importance of sentences
    • Ko Y., Park J., and Seo J. Improving text categorization using the importance of sentences. Information Processing and Management 40 1 (2004) 65-79
    • (2004) Information Processing and Management , vol.40 , Issue.1 , pp. 65-79
    • Ko, Y.1    Park, J.2    Seo, J.3
  • 8
    • 34247376452 scopus 로고    scopus 로고
    • Ko, Y., & Seo, J. (2004). Learning with unlabeled data for text categorization using a bootstrapping and a feature projection technique. In Proceedings of the 42nd annual meeting of the association for computational linguistics (ACL 2004), pp. 255-262.
  • 9
    • 0346896765 scopus 로고    scopus 로고
    • Using the feature projection technique based on a normalized voting method for text categorization
    • Ko Y., and Seo J. Using the feature projection technique based on a normalized voting method for text categorization. Information Processing and Management 40 2 (2004) 191-208
    • (2004) Information Processing and Management , vol.40 , Issue.2 , pp. 191-208
    • Ko, Y.1    Seo, J.2
  • 10
    • 0035751914 scopus 로고    scopus 로고
    • Lee, C.H., Lin, C.R., & Chen, M.S. (2001). Sliding-window filtering: an efficient algorithm for incremental mining. In Proceedings of the tenth international conference on information and knowledge management, pp. 263-270.
  • 11
    • 84880798303 scopus 로고    scopus 로고
    • Li, X., & Liu, B. (2003). Learning to classify text using positive and unlabeled data. In Proceedings of eighteenth international joint conference on artificial intelligence (IJCAI-03), pp. 587-594.
  • 12
    • 34247331785 scopus 로고    scopus 로고
    • Liu, B., Lee, W.S., Yu, P.S., & Li, X. (2002). Partially Supervised Classification of Text Documents. In Proceedings of the nineteenth international conference on machine learning (ICML, 2000), Sydney, Australia, pp. 8-12.
  • 13
    • 34247387108 scopus 로고    scopus 로고
    • Lewis, D.D. (1998). Naive (bayes) at forty: The independence assumption in information retrieval. In Proceedings of European conference on machine learning.
  • 14
    • 34247324715 scopus 로고    scopus 로고
    • McCallum, A., & Nigam, K. (1998). A comparison of event models for Naive Bayes text classification. AAAI'98 workshop on learning for text categorization, pp. 41-48.
  • 15
    • 84867119745 scopus 로고
    • Tagging english text with a probabilistic model
    • Merialdo B. Tagging english text with a probabilistic model. Computational Linguisitcs 20 2 (1994) 155-171
    • (1994) Computational Linguisitcs , vol.20 , Issue.2 , pp. 155-171
    • Merialdo, B.1
  • 17
    • 34247399071 scopus 로고    scopus 로고
    • Roy, N., & McCallum, A. (2001). Toward optimal active learning through sampling estimation of error reduction. In Proceedings of 18th international conference on machine learning, pp. 441-448.
  • 18
    • 0016572913 scopus 로고
    • A vector space model for automatic indexing
    • Salton G., Yang C., and Wang A. A vector space model for automatic indexing. Communications of the ACM 18 11 (1975) 613-620
    • (1975) Communications of the ACM , vol.18 , Issue.11 , pp. 613-620
    • Salton, G.1    Yang, C.2    Wang, A.3
  • 19
    • 34247368437 scopus 로고    scopus 로고
    • Schohn, G., & Cohn, D. (2000). Less is more: active learning with support vector machines. In Proceedings of 17th international conference on machine learning, pp. 839-846.
  • 20
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with application to text classification
    • Tong S., and Koller D. Support vector machine active learning with application to text classification. Journal of Machine Learning Research 2 (2001) 45-66
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 45-66
    • Tong, S.1    Koller, D.2
  • 21
    • 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 1 1/2 (1999) 67-88
    • (1999) Journal of Information Retrieval , vol.1 , Issue.1-2 , pp. 67-88
    • Yang, Y.1
  • 23
    • 0011399035 scopus 로고    scopus 로고
    • Yu, H., Han, J., & Chang, K. (2002). PEBL: positive example based learning for web page classification using SVM. In Proceedings of international conference on knowledge discovery and data mining (KDD-02).
  • 24
    • 34247334162 scopus 로고    scopus 로고
    • Zadrozny, B., & Elkan, C. (2001). Obtaining calibrated probability estimates from decision trees and nai{dotless}̈ve bayesian classifiers. In Proceedings of the Eighteenth International Conference on Machine Learning.
  • 25
    • 34247381086 scopus 로고    scopus 로고
    • Zadrozny, B., & Elkan, C. (2002). Reducing multi-class to binary by coupling probability estimates. In Proceedings of International Conference on Knowledge Discovery and Data Mining (KDD-02).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.