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Volumn 3195, Issue , 2004, Pages 1213-1220

Reliability in ICA-based text classification

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SOURCE SEPARATION; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; INDEPENDENT COMPONENT ANALYSIS; INFORMATION RETRIEVAL SYSTEMS; RELIABILITY;

EID: 35048814019     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_153     Document Type: Article
Times cited : (6)

References (14)
  • 1
    • 0002442796 scopus 로고    scopus 로고
    • Machine Learning in Automated Text Categorisation
    • Sebastiani, F.: Machine Learning in Automated Text Categorisation. ACM Computing Surveys, Vol. 34, Nr. 1 (2002) 1-47
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 2
    • 84898995610 scopus 로고    scopus 로고
    • Restructuring Sparse High Dimensional Data for Effective Retrieval
    • Isbell, C.-L. and Viola, P.: Restructuring Sparse High Dimensional Data for Effective Retrieval. Adv. in Neural Information Processing Systems, 11 (1999) 480-486
    • (1999) Adv. in Neural Information Processing Systems , vol.11 , pp. 480-486
    • Isbell, C.-L.1    Viola, P.2
  • 3
    • 0000659233 scopus 로고    scopus 로고
    • Independent Components in Text
    • Girolami, M. (ed.): Springer-Verlag, Berlin Heidelberg New York
    • Kolenda, T., Hansen, L.K. and Sigurdsson, S.: Independent Components in Text. In: Girolami, M. (ed.): Advances in Independent Component Analysis. Springer-Verlag, Berlin Heidelberg New York (2000) 241-262
    • (2000) Advances in Independent Component Analysis , pp. 241-262
    • Kolenda, T.1    Hansen, L.K.2    Sigurdsson, S.3
  • 4
    • 4243543489 scopus 로고    scopus 로고
    • Unsupervised Topic Separation and Keyword Identification in Document Collections: A Projection Approach
    • Dept. of Computing and Information Systems, University of Paisley
    • Kabán, A. and Girolami, M.: Unsupervised Topic Separation and Keyword Identification in Document Collections: a Projection Approach. Dept. of Computing and Information Systems, University of Paisley. Technical Report Nr. 10 (2000)
    • (2000) Technical Report Nr. 10 , vol.10
    • Kabán, A.1    Girolami, M.2
  • 6
    • 35048859787 scopus 로고    scopus 로고
    • Inst. of Informatics and Mathematical Modelling, Tech. University of Denmark. T.R.
    • Kolenda, T.: Clustering text using Independent Component Analysis. Inst. of Informatics and Mathematical Modelling, Tech. University of Denmark. T.R.(2002)
    • (2002) Clustering Text Using Independent Component Analysis
    • Kolenda, T.1
  • 9
    • 79952270109 scopus 로고    scopus 로고
    • Improving Naive Bayes Using Class Conditional ICA
    • Garijo, F., Riquelme, J. and Toro, M. (Eds.), Advances in Artificial Intelligence-Iberamia, Springer Verlag Series
    • Bressan, M. and Vitrià, J.: Improving Naive Bayes Using Class Conditional ICA. In Garijo, F., Riquelme, J. and Toro, M. (Eds.), Advances in Artificial Intelligence-Iberamia, Springer Verlag Series. (2002) LNAI 2527:1-10
    • (2002) LNAI , vol.2527 , pp. 1-10
    • Bressan, M.1    Vitrià, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.