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Volumn 2415 LNCS, Issue , 2002, Pages 713-719

Robust cross-validation score function for non-linear function estimation

Author keywords

Breakdown point; Influence functions; M estimators and L estimators; Robust cross validation score function; Weighted LS SVM

Indexed keywords

FUNCTIONS; GAUSSIAN NOISE (ELECTRONIC); NEURAL NETWORKS;

EID: 84902173061     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46084-5_116     Document Type: Conference Paper
Times cited : (15)

References (9)
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  • 2
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    • The influence curve and its role in robust estimation
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    • Marazzi, A.1    Ruffieux, C.2
  • 5
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    • Cross-validatory choice and assessment of statistical predictions
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    • (1974) J. Royal Statist. Soc. Ser. B , vol.36 , pp. 111-147
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    • Weighted least squares support vector machines: Robustness and sparse approximation
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    • Suykens J.A.K., De Brabanter J., Lukas L., Vandewalle J. (2002). "Weighted least squares support vector machines: robustness and sparse approximation", Neurocomputing, in press.
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    • Suykens, J.A.K.1    De Brabanter, J.2    Lukas, L.3    Vandewalle, J.4
  • 9
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    • Asymptotic properties for cross-validation nearest neighbour median estimates in non-parametric regression: The L1-view
    • Yang Y. and Zheng Z. (1992). "Asymptotic properties for cross-validation nearest neighbour median estimates in non-parametric regression: the L1-view", Probability and statistics, 242-257.
    • (1992) Probability and Statistics , pp. 242-257
    • Yang, Y.1    Zheng, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.