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Volumn 40, Issue 2, 2004, Pages 191-208

Using the feature projection technique based on a normalized voting method for text classification

Author keywords

Feature projections; Instance based learning; k NN; Text categorization; Text classifier

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; INFORMATION RETRIEVAL; LEARNING ALGORITHMS; LEARNING SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS);

EID: 0346896765     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0306-4573(03)00029-3     Document Type: Article
Times cited : (14)

References (23)
  • 2
    • 0010455575 scopus 로고    scopus 로고
    • K nearest neighbor classification on feature projections
    • Italy
    • Akkus, A., & Guvenir, H. A. (1996). K nearest neighbor classification on feature projections. In Proceedings of ICML'96, Italy (pp. 12-19).
    • (1996) Proceedings of ICML'96 , pp. 12-19
    • Akkus, A.1    Guvenir, H.A.2
  • 6
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Joachims, T. (1998). Text categorization with support vector machines: learning with many relevant features. In Proceedings of European conference on machine learning (ECML) (pp. 137-142).
    • (1998) Proceedings of European Conference on Machine Learning (ECML) , pp. 137-142
    • Joachims, T.1
  • 18
    • 0343081513 scopus 로고    scopus 로고
    • Reduction techniques for exemplar-based learning algorithms
    • Wilson D.R., Martinez T.R. Reduction techniques for exemplar-based learning algorithms. Machine Learning. 38(3):1999;257-286.
    • (1999) Machine Learning , vol.38 , Issue.3 , pp. 257-286
    • Wilson, D.R.1    Martinez, T.R.2
  • 20
    • 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.