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Volumn 53, Issue , 2005, Pages 167-188

Kernels evaluation of SVM-based estimators for inverse scattering problems

Author keywords

[No Author keywords available]

Indexed keywords

BURIED-OBJECT DETECTION; CONVENTIONAL METHODS; FINITE ELEMENT CODES; INVERSE SCATTERING PROBLEMS; LEARNING BY EXAMPLES; MODEL SELECTION CRITERIA; NONLINEAR INTEGRAL EQUATIONS; POLYNOMIAL KERNELS;

EID: 33749246914     PISSN: 10704698     EISSN: 15598985     Source Type: Journal    
DOI: 10.2528/PIER04090801     Document Type: Article
Times cited : (39)

References (15)
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  • 3
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    • A comparative study of nn and svm-based electromagnetic inverse scattering approaches to on-line detection of buried objects
    • Caorsi, S., D. Anguita, E. Bermani, A. Boni, and M. Donelli, "A comparative study of nn and svm-based electromagnetic inverse scattering approaches to on-line detection of buried objects," ACES Journal, Vol. 18, No. 2, 2003.
    • (2003) ACES Journal , vol.18 , Issue.2
    • Caorsi, S.1    Anguita, D.2    Bermani, E.3    Boni, A.4    Donelli, M.5
  • 7
    • 0000874557 scopus 로고
    • Theoretical foundations of the potential function method in pattern recognition learning
    • Aizerman, M. A., E. M. Braverman, and L. I. Rozonoer, "Theoretical foundations of the potential function method in pattern recognition learning," Automation and Remote Control, Vol. 25, 821-837, 1964.
    • (1964) Automation and Remote Control , vol.25 , pp. 821-837
    • Aizerman, M.A.1    Braverman, E.M.2    Rozonoer, L.I.3
  • 8
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Scölkopf, C. Burges, and A. Smola (Eds.), MIT Press
    • Platt, J., "Fast training of support vector machines using sequential minimal optimization," Advances in Kernel Methods-Support Vector Learning, B. Scölkopf, C. Burges, and A. Smola (Eds.), MIT Press, 1999.
    • (1999) Advances in Kernel Methods-Support Vector Learning
    • Platt, J.1
  • 9
    • 0036129250 scopus 로고    scopus 로고
    • Asymptotic convergence of an SMO algorithm without any assumptions
    • Jan
    • Lin, C.-J., "Asymptotic convergence of an SMO algorithm without any assumptions," IEEE Trans. on Neural Networks, Vol. 13, No. 1, 248-250, Jan. 2002.
    • (2002) IEEE Trans. on Neural Networks , vol.13 , Issue.1 , pp. 248-250
    • Lin, C.-J.1
  • 13
    • 0242320493 scopus 로고    scopus 로고
    • Hyperparameter design criteria for support vector classifiers
    • Sept
    • Anguita, D., S. Ridella, F. Rivieccio, and R. Zunino, "Hyperparameter design criteria for support vector classifiers," Neurocomputing, Vol. 55, 109-134, Sept. 2003.
    • (2003) Neurocomputing , vol.55 , pp. 109-134
    • Anguita, D.1    Ridella, S.2    Rivieccio, F.3    Zunino, R.4
  • 15
    • 33749248713 scopus 로고    scopus 로고
    • A multi-source strategy based on a learning-by-examples technique for buried object detection
    • Bermani, E., A. Boni, S. Caorsi, M. Donelli, and A. Massa, "A multi-source strategy based on a learning-by-examples technique for buried object detection," PIER Journal, Vol. 48, 185-200, 2004.
    • (2004) PIER Journal , vol.48 , pp. 185-200
    • Bermani, E.1    Boni, A.2    Caorsi, S.3    Donelli, M.4    Massa, A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.