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Volumn 3697 LNCS, Issue , 2005, Pages 625-630

LS-SVM hyperparameter selection with a nonparametric noise estimator

Author keywords

Least Squares Support Vector Machines; Leave one out; Noise Estimation; Regression

Indexed keywords

ACOUSTIC NOISE; ARTIFICIAL INTELLIGENCE; BENCHMARKING; NEURAL NETWORKS; OPTIMIZATION; PARAMETER ESTIMATION;

EID: 33646245669     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (23)

References (9)
  • 2
    • 21144438694 scopus 로고    scopus 로고
    • Model selection with cross-validations and bootstraps - Application to time series prediction with RBFN modelsArtificial Neural Networks and Neural Information Processing - ICANN/ICONIP (2003), Kaynak O., Alpaydin E., Oja E., Xu L. (eds): Springer-Verlag
    • , Berlin
    • Lendasse A., Wertz V., Verleysen M.: Model selection with cross-validations and bootstraps - Application to time series prediction with RBFN models. In: Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP (2003), Kaynak O., Alpaydin E., Oja E., Xu L. (eds): Springer-Verlag Lecture Notes in Computer Science 2714, Berlin (2003) 573-580.
    • (2003) Lecture Notes in Computer Science , vol.2714 , pp. 573-580
    • Lendasse, A.1    Wertz, V.2    Verleysen, M.3
  • 4
    • 33646246024 scopus 로고    scopus 로고
    • http://www.esat.kuleuven.ac.be/sista/lssvmlab/
  • 5
    • 84902135669 scopus 로고    scopus 로고
    • Weighted least squares support vector machines: Robustness and sparse approximation
    • Special Issue on fundamental and information processing aspects of neurocomputing
    • Suykens, J., A., De brabanter, K., J., Lukas, L., Vandewalle, J.: Weighted least squares support vector machines: robustness and sparse approximation. Neurocomputing, Special Issue on fundamental and information processing aspects of neurocomputing.
    • Neurocomputing
    • Suykens, J.A.1    De Brabanter, K.J.2    Lukas, L.3    Vandewalle, J.4
  • 6
    • 25144473309 scopus 로고    scopus 로고
    • New tools in non-linear modeling and prediction
    • Jones, A. J. New Tools in Non-linear Modeling and Prediction, Computational Management Science, Vol. 1, Issue 2, p.p. 109-149, 2004.
    • (2004) Computational Management Science , vol.1 , Issue.2 , pp. 109-149
    • Jones, A.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.