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Volumn , Issue , 2002, Pages

Bayesian time series classification

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; HIDDEN MARKOV MODELS; IMAGE PROCESSING;

EID: 84898937812     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (23)

References (11)
  • 3
    • 77956889087 scopus 로고
    • Reversible jump markov chain Monte Carlo computation and bayesian model determination
    • Gre95
    • [Gre95] P. J. Green. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika, 82:711-732, 1995.
    • (1995) Biometrika , vol.82 , pp. 711-732
    • Green, P.J.1
  • 4
    • 0000234257 scopus 로고
    • The evidence framework applied to classification networks
    • Mac92
    • [Mac92] D. J. C. MacKay. The evidence framework applied to classification networks. Neural Computation, 4:720-736, 1992.
    • (1992) Neural Computation , vol.4 , pp. 720-736
    • MacKay, D.J.C.1
  • 7
    • 18244378520 scopus 로고    scopus 로고
    • On bayesian analysis of mixtures with an unknown number of components
    • RG97
    • [RG97] S. Richardson and P. J. Green. On Bayesian analysis of mixtures with an unknown number of components. Journal Royal Stat. Soc. B, 59:731-792, 1997.
    • (1997) Journal Royal Stat. Soc. B , vol.59 , pp. 731-792
    • Richardson, S.1    Green, P.J.2
  • 8
    • 0022594196 scopus 로고
    • An introduction to hidden markov models
    • RJ86
    • [RJ86] L. R. Rabiner and B. H. Juang. An introduction to Hidden Markov Models. IEEE ASSP Magazine, 3(1):4-16, 1986.
    • (1986) IEEE ASSP Magazine , vol.3 , Issue.1 , pp. 4-16
    • Rabiner, L.R.1    Juang, B.H.2
  • 9
    • 0003030680 scopus 로고    scopus 로고
    • Implementing mcmc
    • [RL96], W.R. Gilks, S. Richardson, and D.J. Spiegelhalter, editors, chapter 7, Chapman & Hall, London, Weinheim, New York
    • [RL96] A. E. Raftery and S. M. Lewis. Implementing MCMC. In W.R. Gilks, S. Richardson, and D.J. Spiegelhalter, editors, Markov Chain Monte Carlo in practice, chapter 7, pages 115- 130. Chapman & Hall, London, Weinheim, New York, 1996.
    • (1996) Markov Chain Monte Carlo in Practice , pp. 115-130
    • Raftery, A.E.1    Lewis, S.M.2
  • 10
    • 0000599677 scopus 로고    scopus 로고
    • Mixtures of distributions: Inference and estimation
    • [Rob96], W. R. Gilks, S. Richardson, and D.J. Spiegelhalter, editors, Chapman & Hall, London
    • [Rob96] C. P. Robert. Mixtures of distributions: inference and estimation. In W. R. Gilks, S. Richardson, and D.J. Spiegelhalter, editors, Markov Chain Mont Carlo in Practice, pages 441-464. Chapman & Hall, London, 1996.
    • (1996) Markov Chain Mont Carlo in Practice , pp. 441-464
    • Robert, C.P.1
  • 11
    • 21244492142 scopus 로고    scopus 로고
    • On input selection with reversible jump markov chain monte carlo sampling
    • [Syk00], S.A. Solla, T.K. Leen, and K.-R. Muller, editors, Boston, MA, MIT Press
    • [Syk00] P. Sykacek. On input selection with reversible jump Markov chain Monte Carlo sampling. In S.A. Solla, T.K. Leen, and K.-R. Muller, editors, Advances in Neural Information Processing Systems 12, pages 638-644, Boston, MA, 2000. MIT Press.
    • (2000) Advances in Neural Information Processing Systems , vol.12 , pp. 638-644
    • Sykacek, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.