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Volumn , Issue , 2003, Pages 243-249

Automatic parameter selection for polynomial kernel

Author keywords

Bayesian inference; Data distribution; Polynomial kernel; SVM

Indexed keywords

BAYESIAN NETWORKS; CLASSIFICATION (OF INFORMATION); DATA MINING; INFERENCE ENGINES; LEARNING SYSTEMS; POLYNOMIALS; SUPPORT VECTOR MACHINES;

EID: 84945135139     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IRI.2003.1251420     Document Type: Conference Paper
Times cited : (47)

References (21)
  • 6
    • 0000636553 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • T. Joachims, Text categorization with support vector machines: learning with many relevant features. In European Conference on Machine Learning (ECML), 1998.
    • (1998) European Conference on Machine Learning (ECML)
    • Joachims, T.1
  • 13
    • 0013016630 scopus 로고    scopus 로고
    • Determination of the spread parameter in the Gaussian kernel for classification and regression
    • Elsevier Science
    • W. Wang, Z. Xu, W. Lu and X. Zhang, Determination of the spread parameter in the Gaussian kernel for classification and regression, Neurocomputing, Elsevier Science, 2002.
    • (2002) Neurocomputing
    • Wang, W.1    Xu, Z.2    Lu, W.3    Zhang, X.4
  • 15
    • 0001254045 scopus 로고    scopus 로고
    • Multi-class support vector machines
    • presented at M. Verleysen, Ed., Brussels, Belgium
    • J. Weston, and Watkins, Multi-class support vector machines, presented at the Proc. ESANN99, M. Verleysen, Ed., Brussels, Belgium, 1999.
    • (1999) The Proc. ESANN99
    • Weston, J.1    Watkins2
  • 20
    • 84945169447 scopus 로고    scopus 로고
    • Data Sets
    • Loh. W., Knowledge Discovery Central, Data Sets, . 2002.
    • (2002)
    • Loh, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.