메뉴 건너뛰기




Volumn , Issue , 2005, Pages 619-626

Worst-case bounds for Gaussian process models

Author keywords

[No Author keywords available]

Indexed keywords

COMPETITIVE ANALYSIS; GAUSSIAN PROCESS MODELS; GAUSSIAN PROCESS PRIORS; GAUSSIAN REGRESSION; LOGISTIC REGRESSIONS; MINIMAX; MINIMAX STRATEGY; MINIMUM DESCRIPTION LENGTH; NON-PARAMETRIC; NON-PARAMETRIC BAYESIAN; ONLINE LEARNING; PROBABILISTIC ASSUMPTIONS;

EID: 84864042783     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (13)
  • 1
    • 0035370926 scopus 로고    scopus 로고
    • Relative loss bounds for on-line density estimation with the exponential family of distributions
    • K. S. Azoury and M. Warmuth. Relative loss bounds for on-line density estimation with the exponential family of distributions. Machine Learning, 43(3), 2001.
    • (2001) Machine Learning , vol.43 , Issue.3
    • Azoury, K.S.1    Warmuth, M.2
  • 3
    • 0035371298 scopus 로고    scopus 로고
    • Worst-case bounds for the logarithmic loss of predictors
    • Nicolo Cesa-Bianchi and Gabor Lugosi. Worst-case bounds for the logarithmic loss of predictors. Machine Learning, 43, 2001.
    • (2001) Machine Learning , vol.43
    • Cesa-Bianchi, N.1    Lugosi, G.2
  • 4
  • 6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.