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Volumn , Issue , 2002, Pages 454-461

Effective Dimension and Generalization of Kernel Learning

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE RATES; DATA DIMENSIONS; EFFECTIVE DIMENSIONS; FUNCTION SPACES; GENERALISATION; GENERALIZATION PERFORMANCE; HILBERT FUNCTIONS; KERNEL LEARNING; LEARNING PROBLEM; PARAMETRIC ESTIMATION;

EID: 85140618492     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (5)
  • 1
    • 0032166052 scopus 로고    scopus 로고
    • The importance of convexity in learning with squared loss
    • W.S. Lee, P.L. Bartlett, and R.C. Williamson. The importance of convexity in learning with squared loss. IEEE Trans. Inform. Theory, 44(5):1974-1980, 1998.
    • (1998) IEEE Trans. Inform. Theory , vol.44 , Issue.5 , pp. 1974-1980
    • Lee, W.S.1    Bartlett, P.L.2    Williamson, R.C.3
  • 2
    • 33746180550 scopus 로고    scopus 로고
    • Learning relatively small classes
    • Shahar Mendelson. Learning relatively small classes. In COLT 01, pages 273-288, 2001.
    • (2001) COLT 01 , pp. 273-288
    • Mendelson, Shahar1
  • 3
    • 0000439527 scopus 로고
    • Optimal global rates of convergence for nonparametric regression
    • Charles J. Stone. Optimal global rates of convergence for nonparametric regression. Annals of Statistics, 10:1040-1053, 1982.
    • (1982) Annals of Statistics , vol.10 , pp. 1040-1053
    • Stone, Charles J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.