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Volumn , Issue , 2007, Pages 9-16

Tighter PAC-Bayes bounds

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL BURDEN; CROSS VALIDATION; HYPERPARAMETERS; PAC-BAYES; PREDICTIVE CAPABILITIES; TRAINING SAMPLE;

EID: 84864069264     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (87)

References (7)
  • 1
    • 0003408496 scopus 로고    scopus 로고
    • Dept. of Information and Computer Sciences
    • C L Blake and C J Merz. UCI Repository of machine learning databases. University of California, Irvine, Dept. of Information and Computer Sciences, [http://www.ics.uci.edu/-mlearn/MLRepository.html], 1998.
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.L.1    Merz, C.J.2
  • 2
    • 0026966646 scopus 로고
    • A training algorithm for optimal margin classifiers
    • Bernhard E. Boser, Isabelle Guyon, and Vladimir Vapnik. A training algorithm for optimal margin classifiers. In Computational Learing Theory, pages 144-152, 1992.
    • (1992) Computational Learing Theory , pp. 144-152
    • Boser, B.E.1    Guyon, I.2    Vapnik, V.3
  • 3
    • 21844462365 scopus 로고    scopus 로고
    • Tutorial on practical prediction theory for classification
    • Mar
    • J Langford. Tutorial on practical prediction theory for classification. Journal of Machine Learning Research, 6(Mar):273-306, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 273-306
    • Langford, J.1
  • 5
    • 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
  • 6
    • 0041464774 scopus 로고    scopus 로고
    • PAC-bayesian generalization error bounds for gaussian process classification
    • M Seeger. PAC-Bayesian Generalization Error Bounds for Gaussian Process Classification. Journal of Machine Learning Research, 3:233-269, 2002.
    • (2002) Journal of Machine Learning Research , vol.3 , pp. 233-269
    • Seeger, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.