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Volumn 48, Issue 7, 2002, Pages 1977-1991

Improving the sample complexity using global data

Author keywords

Fat shattering dimension; Glivenko Cantelli classes; Kernel machines; Learning sample complexity; Uniform convexity

Indexed keywords

APPROXIMATION THEORY; CONVERGENCE OF NUMERICAL METHODS; ESTIMATION; POLYNOMIALS; PROBABILITY; REGRESSION ANALYSIS; SET THEORY;

EID: 0036648803     PISSN: 00189448     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIT.2002.1013137     Document Type: Article
Times cited : (102)

References (21)
  • 13
    • 0034345597 scopus 로고    scopus 로고
    • About the constants in Talagrand's concentration inequalities for empirical processes
    • (2000) Ann. Probab. , vol.28 , Issue.2 , pp. 863-884
    • Massart, P.1
  • 14
  • 15
    • 0036160893 scopus 로고    scopus 로고
    • Rademacher averages and phase transitions in Glivenko-Cantelli classes
    • Jan.
    • (2002) IEEE Trans. Inform. Theory , vol.48 , pp. 251-263


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.