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Volumn 2003-January, Issue , 2003, Pages 229-238

A variational approach to robust Bayesian interpolation

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; INTERPOLATION; VARIATIONAL TECHNIQUES;

EID: 67649303720     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2003.1318022     Document Type: Conference Paper
Times cited : (12)

References (9)
  • 2
    • 84958972434 scopus 로고    scopus 로고
    • A variational approach to robust regression
    • G. Dorffner, H. Bischof and K. Hornik (eds.) Springer
    • A. Faul and M. E. Tipping, "A variational approach to robust regression, " in G. Dorffner, H. Bischof and K. Hornik (eds.), Proceedings of ICANN'01, Springer, 2001, pp. 95-102.
    • (2001) Proceedings of ICANN'01 , pp. 95-102
    • Faul, A.1    Tipping, M.E.2
  • 4
    • 84986088295 scopus 로고
    • Bayesian treatment of the independent student-i linear model
    • J. F. Geweke, "Bayesian Treatment of the Independent Student-i Linear Model, " Journal of Applied Econometrics, vol. 8, pp. S19-S40, 1993.
    • (1993) Journal of Applied Econometrics , vol.8 , pp. S19-S40
    • Geweke, J.F.1
  • 6
    • 0034504542 scopus 로고    scopus 로고
    • Variational bayes for non-Gaussian autoregressive models
    • IEEE
    • W. Penny and S. J. Roberts, "Variational Bayes for non-Gaussian autoregressive models, " in Neural Networks for Signal Processing X, IEEE, 2000, pp. 135-144.
    • (2000) Neural Networks for Signal Processing , vol.10 , pp. 135-144
    • Penny, W.1    Roberts, S.J.2
  • 7
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • M. E. Tipping, "Sparse Bayesian Learning and the Relevance Vector Machine, " Journal of Machine Learning Research, vol. 1, pp. 211-244, 2001.
    • (2001) Journal of Machine Learning Research , vol.1 , pp. 211-244
    • Tipping, M.E.1
  • 8
    • 84887252594 scopus 로고    scopus 로고
    • Support vector method for function approximation, regression estimation and signal processing
    • M. C. Mozer, M. I. Jordan and T. Petsche (eds.), MIT Press
    • V. N. Vapnik, S. E. Golowich and A. J. Smola, "Support vector method for function approximation, regression estimation and signal processing, " in M. C. Mozer, M. I. Jordan and T. Petsche (eds.), Advances in Neural Information Processing Systems 9, MIT Press, 1997.
    • (1997) Advances in Neural Information Processing Systems , vol.9
    • Vapnik, V.N.1    Golowich, S.E.2    Smola, A.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.