메뉴 건너뛰기




Volumn 19, Issue , 2011, Pages 397-419

Safe learning: Bridging the gap between Bayes, MDL and statistical learning theory via empirical convexity

Author keywords

[No Author keywords available]

Indexed keywords

REGRESSION ANALYSIS;

EID: 84877737581     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (29)

References (16)
  • 4
    • 0000245743 scopus 로고    scopus 로고
    • Statistical modeling: The two cultures (with discussion)
    • L. Breiman. Statistical modeling: the two cultures (with discussion). Statistical Science, 16(3):199 -215, 2001.
    • (2001) Statistical Science , vol.16 , Issue.3 , pp. 199-215
    • Breiman, L.1
  • 9
    • 33847618822 scopus 로고    scopus 로고
    • Suboptimal behavior of Bayes and MDL in classification under misspecification
    • DOI 10.1007/s10994-007-0716-7, Special Issue on Learning Theory
    • P. Grünwald and J. Langford. Suboptimal behavior of Bayes and MDL in classification under misspecification. Machine Learning, 66(2-3):119-149, 2007. DOI 10.1007/s10994007-0716-7. (Pubitemid 46360609)
    • (2007) Machine Learning , vol.66 , Issue.2-3 , pp. 119-149
    • Grunwald, P.1    Langford, J.2
  • 11
    • 33746227433 scopus 로고    scopus 로고
    • Misspecification in infinite-dimensional Bayesian statistics
    • B. Kleijn and A. van der Vaart. Misspecification in infinite-dimensional Bayesian statistics. Annals of Statistics, 34(2), 2006.
    • (2006) Annals of Statistics , vol.34 , Issue.2
    • Kleijn, B.1    Van Der Vaart, A.2
  • 12
    • 0004105234 scopus 로고    scopus 로고
    • PhD thesis, Yale University, New Haven, CT
    • J.Q. Li. Estimation of Mixture Models. PhD thesis, Yale University, New Haven, CT, 1999.
    • (1999) Estimation of Mixture Models
    • Li, J.Q.1
  • 13
  • 14
    • 0037399538 scopus 로고    scopus 로고
    • PAC-Bayesian stochastic model selection
    • D. McAllester. PAC-Bayesian stochastic model selection. Machine Learning, 51(1):5-21, 2003.
    • (2003) Machine Learning , vol.51 , Issue.1 , pp. 5-21
    • McAllester, D.1
  • 15
    • 3142725508 scopus 로고    scopus 로고
    • Optimal aggregation of classifiers in statistical learning
    • DOI 10.1214/aos/1079120131
    • A.B. Tsybakov. Optimal aggregation of classifiers in statistical learning. Annals of Statistics, 32:135-166, 2004. (Pubitemid 41449306)
    • (2004) Annals of Statistics , vol.32 , Issue.1 , pp. 135-166
    • Tsybakov, A.B.1
  • 16
    • 33847361463 scopus 로고    scopus 로고
    • From ε-entropy to KL entropy: Analysis of minimum information complexity density estimation
    • Tong Zhang. From ε-entropy to KL entropy: analysis of minimum information complexity density estimation. Annals of Statistics, 34(5):2180-2210, 2006.
    • (2006) Annals of Statistics , vol.34 , Issue.5 , pp. 2180-2210
    • Zhang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.