메뉴 건너뛰기




Volumn , Issue , 2005, Pages 4442-4445

An efficient kernel-based nonlinear regression method for two-class classification

Author keywords

Classification efficiency; Kernel based nonlinear regression model; Pattern Recognition; Ridge regression; Variable selection

Indexed keywords

CYBERNETICS; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; REGRESSION ANALYSIS;

EID: 28444473123     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (9)
  • 3
    • 0036195207 scopus 로고    scopus 로고
    • Nonlinear Fisher discriminant analysis using a minimum squared error cost function and the orthogonal least squares algorithm
    • Steve B., Kian L., "Nonlinear Fisher discriminant analysis using a minimum squared error cost function and the orthogonal least squares algorithm", Neural Networks, Vol. 15, NO.1, pp.263-270, 2002.
    • (2002) Neural Networks , vol.15 , Issue.1 , pp. 263-270
    • Steve, B.1    Kian, L.2
  • 6
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Bernhard S., Alexander S., Klaus-Robert M., "Nonlinear component analysis as a kernel eigenvalue problem", Neural Computation, Vol.10, No.5, pp.1299-1319,1998.
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Bernhard, S.1    Alexander, S.2    Klaus-Robert, M.3
  • 8
    • 2142650125 scopus 로고    scopus 로고
    • A reformative kernel Fisher discriminant analysis
    • Yong Xu, Jing-Yu Yang, Jian Yang, "A reformative kernel Fisher discriminant analysis", Pattern Recognition, Vol.37,pp.1299-1302,2004.
    • (2004) Pattern Recognition , vol.37 , pp. 1299-1302
    • Xu, Y.1    Yang, J.-Y.2    Yang, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.