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Volumn , Issue , 2002, Pages 513-518

Scaling multi-class support vector machines using inter-class confusion

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; REDUNDANCY; VECTOR QUANTIZATION;

EID: 0242625254     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/775047.775122     Document Type: Conference Paper
Times cited : (46)

References (14)
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    • Allwein, E.L.1    Schapire, R.E.2    Singer, Y.3
  • 2
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    • Scalable feature selection, classification and signature generation for organizing large test databases into hierarchical topic taxonomies
    • S. Chakrabarti, B. Dom, R. Agrawal, and P. Raghavan. Scalable feature selection, classification and signature generation for organizing large test databases into hierarchical topic taxonomies. The VLDB Journal, 1998.
    • (1998) The VLDB Journal
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  • 3
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    • Solving multiclass learning problems via ECOCs
    • T. G. Dietterich and G. Bakiri. Solving multiclass learning problems via ECOCs. JAIR, 2:263-286, 1995.
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    • Dietterich, T.G.1    Bakiri, G.2
  • 4
    • 85105809948 scopus 로고    scopus 로고
    • Inductive learning algorithms and representations for text categorization
    • S. Dumais, J. Platt, D. Heckerman, and M. Sahami. Inductive learning algorithms and representations for text categorization. In 7th CIKM, 1998.
    • 7th CIKM, 1998
    • Dumais, S.1    Platt, J.2    Heckerman, D.3    Sahami, M.4
  • 5
    • 0011803637 scopus 로고    scopus 로고
    • Using error-correcting codes for text classification
    • Rayid Ghani. Using error-correcting codes for text classification. In 17th ICML, 2000.
    • 17th ICML, 2000
    • Ghani, R.1
  • 6
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    • Exploiting confusion matrices for automatic generation of topic hierarchies and scaling up multi-way classifiers
    • Technical Report, IIT Bombay
    • Shantanu Godbole. Exploiting confusion matrices for automatic generation of topic hierarchies and scaling up multi-way classifiers. Technical Report, IIT Bombay, 2002. http://www.it.iitb.ac.in/~shantanu/work/aps2002.pdf
    • (2002)
    • Godbole, S.1
  • 7
    • 0242613950 scopus 로고    scopus 로고
    • Improving multi-class text classification with the support vector machine
    • AI Memo, AIM-2001-026, MIT
    • Ryan Rifkin and Jason D. M. Rennie. Improving multi-class text classification with the support vector machine, AI Memo, AIM-2001-026, MIT, 2001.
    • (2001)
    • Rifkin, R.1    Rennie, J.D.M.2
  • 8
    • 0242445693 scopus 로고    scopus 로고
    • A statistical learning model of text classification for SVMs
    • ACM
    • T. Joachims. A statistical learning model of text classification for SVMs. In SIGIR 2001, volume 24, ACM.
    • SIGIR 2001 , vol.24
    • Joachims, T.1
  • 9
    • 0002346866 scopus 로고    scopus 로고
    • Heirarchically classifying documents using very few words
    • D. Koller and M. Sahami. Heirarchically classifying documents using very few words. In 14th ICML, 1997.
    • 14th ICML, 1997
    • Koller, D.1    Sahami, M.2
  • 11
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    • Conditions for the equivalence of hierarchical and non-hierarchical Bayesian classifiers
    • Technical note
    • T. M. Mitchell. Conditions for the equivalence of hierarchical and non-hierarchical Bayesian classifiers. Technical note, 1998. Online at http://www.cs.cmu.edu/~tom/hierproof.ps
    • (1998)
    • Mitchell, T.M.1
  • 13
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    • An algorithm for suffix stripping
    • MIT Press
    • M. F. Porter. An algorithm for suffix stripping. Program, MIT Press, 2000.
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    • Porter, M.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.