메뉴 건너뛰기




Volumn , Issue , 2008, Pages 445-450

Consistency of derivative based functional classifiers on sampled data

Author keywords

[No Author keywords available]

Indexed keywords

BETTER PERFORMANCE; SAMPLED DATA; SMOOTHING SPLINE;

EID: 84887008481     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (17)
  • 1
    • 0001652215 scopus 로고
    • Representation of spectra by continuous functions
    • B. K. Alsberg. Representation of spectra by continuous functions. Journal of Chemometrics, 7:177-193, 1993.
    • (1993) Journal of Chemo- Metrics , vol.7 , pp. 177-193
    • Alsberg, B.K.1
  • 5
    • 0021481123 scopus 로고
    • Multivariate smoothing splines functions
    • D. Cox. Multivariate smoothing splines functions. SIAM Journal on Numerical Analysis, 21:789-813, 1984.
    • (1984) SIAM Journal On Numerical Analysis , vol.21 , pp. 789-813
    • Cox, D.1
  • 6
    • 0016534313 scopus 로고
    • On the continuity of the error distortion function for multiplehypothesis decisions
    • July
    • T. Faragó and L. Györfi. On the continuity of the error distortion function for multiplehypothesis decisions. IEEE Transactions on Information Theory, 21(4):458-460, July 1975.
    • (1975) IEEE Transactions On Information Theory , vol.21 , Issue.4 , pp. 458-460
    • Faragó, T.1    Györfi, L.2
  • 7
    • 0036448834 scopus 로고    scopus 로고
    • The functional nonparametric model and application to spectrometric data
    • F. Ferraty and P. Vieu. The functional nonparametric model and application to spectrometric data. Computational Statistics, 17(4), 2002.
    • (2002) Computational Statistics , vol.17 , Issue.4
    • Ferraty, F.1    Vieu, P.2
  • 9
    • 84952149204 scopus 로고
    • A statistical view of some chemometrics regression tools
    • I. Frank and J. H. Friedman. A statistical view of some chemometrics regression tools. Technometrics, 35:109-148, 1993.
    • (1993) Technometrics , vol.35 , pp. 109-148
    • Frank, I.1    Friedman, J.H.2
  • 12
    • 11844253306 scopus 로고    scopus 로고
    • Functional multi-layer perceptron: A nonlinear tool for functional data analysis
    • January
    • F. Rossi and B. Conan-Guez. Functional multi-layer perceptron: a nonlinear tool for functional data analysis. Neural Networks, 18(1):45-60, January 2005.
    • (2005) Neural Networks , vol.18 , Issue.1 , pp. 45-60
    • Rossi, F.1    Conan-Guez, B.2
  • 13
    • 15844383263 scopus 로고    scopus 로고
    • Representation of functional data in neural networks
    • March
    • F. Rossi, N. Delannay, B. Conan-Guez, and M. Verleysen. Representation of functional data in neural networks. Neurocomputing, 64:183-210, March 2005.
    • (2005) Neurocomputing , vol.64 , pp. 183-210
    • Rossi, F.1    Delannay, N.2    Conan-Guez, B.3    Verleysen, M.4
  • 14
    • 32544451454 scopus 로고    scopus 로고
    • Support vector machine for functional data classification
    • March
    • F. Rossi and N. Villa. Support vector machine for functional data classification. Neurocomputing, 69(7-9):730-742, March 2006.
    • (2006) Neurocomputing , vol.69 , Issue.7-9 , pp. 730-742
    • Rossi, F.1    Villa, N.2
  • 15
    • 0036749277 scopus 로고    scopus 로고
    • Support vector machines are universally consistent
    • September
    • I. Steinwart. Support vector machines are universally consistent. J. Complexity, 18(3):768-791, September 2002.
    • (2002) J. Complexity , vol.18 , Issue.3 , pp. 768-791
    • Steinwart, I.1
  • 16
    • 33750985102 scopus 로고    scopus 로고
    • Un résultat de consistance pour des svm fonctionnels par interpolation spline
    • Octobre
    • N. Villa and F. Rossi. Un résultat de consistance pour des svm fonctionnels par interpolation spline. Comptes Rendus Math́ematiques, 343(8):555-560, Octobre 2006.
    • (2006) Comptes Rendus Math́ematiques , vol.343 , Issue.8 , pp. 555-560
    • Villa, N.1    Rossi, F.2
  • 17
    • 0025635525 scopus 로고
    • Connectionist nonparametric regression: Mutilayer feedforward networks can learn arbitrary mappings
    • H. White. Connectionist nonparametric regression: Mutilayer feedforward networks can learn arbitrary mappings. Neural Networks, 3:535-549, 1990.
    • (1990) Neural Networks , vol.3 , pp. 535-549
    • White, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.