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Volumn 3177, Issue , 2004, Pages 132-141

Synergy of logistic regression and support vector machine in multiple-class classification

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EID: 30744447120     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28651-6_19     Document Type: Article
Times cited : (7)

References (10)
  • 1
    • 24044435942 scopus 로고    scopus 로고
    • Reducing Multiclass to Binary: A unifying Approach for Margin Classifiers
    • Allwein, E., Schapire, R. and Singer, Y.:Reducing Multiclass to Binary: A unifying Approach for Margin Classifiers. Journal of Machine Learning Research (2000), 113 - 141.
    • (2000) Journal of Machine Learning Research , pp. 113-141
    • Allwein, E.1    Schapire, R.2    Singer, Y.3
  • 2
    • 62949087988 scopus 로고
    • Calculation of polychotomous logistic regression parameters using individualized regression
    • Begg, C. B. and Gray, R.: Calculation of polychotomous logistic regression parameters using individualized regression. Biometrika, (1984), 71:11 - 18.
    • (1984) Biometrika , vol.71 , pp. 11-18
    • Begg, C.B.1    Gray, R.2
  • 5
    • 0002433422 scopus 로고
    • Bias reduction, the Jefferys prior and GLIM
    • Fahemeir, L. Francis, R. G. and Tutz, G., editors, pages Springer-Verlag, New York
    • Firth, D.: Bias reduction, the Jefferys prior and GLIM. In Fahemeir, L. Francis, R. G. and Tutz, G., editors, Advances in GLIM and Statistical Modelling, pages (1992) 91 - 100. Springer-Verlag, New York.
    • (1992) Advances in GLIM and Statistical Modelling , pp. 91-100
    • Firth, D.1
  • 6
    • 0037199788 scopus 로고    scopus 로고
    • A solution to the problem of separation in logistic regression
    • Heinze and Schemper: A solution to the problem of separation in logistic regression. Statist. Med., 21 (2002) 2109 - 2149.
    • (2002) Statist. Med. , vol.21 , pp. 2109-2149
    • Heinze1    Schemper2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.