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Volumn 9, Issue , 2010, Pages 161-168

Bayesian variable order Markov models

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN ESTIMATIONS; CONTEXT TREE WEIGHTING; GENERALISATION; PREDICTIVE MODELS; RECURSIONS; VARIABLE ORDER MARKOV MODELS;

EID: 84862287199     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (17)
  • 1
    • 14344249743 scopus 로고    scopus 로고
    • The infinite hidden Markov model
    • Thomas G. Dietterich, Suzanna Becker, and Zoubin Ghahramani, editors. MIT Press
    • Matthew J. Beal, Zoubin Ghahramani, and Carl Edward Rasmussen. The infinite hidden Markov model. In Thomas G. Dietterich, Suzanna Becker, and Zoubin Ghahramani, editors, NIPS, pages 577-584. MIT Press, 2001.
    • (2001) NIPS , pp. 577-584
    • Beal, M.J.1    Ghahramani, Z.2    Rasmussen, C.E.3
  • 3
    • 0039530516 scopus 로고    scopus 로고
    • Variable length Markov chains
    • Peter Bühlmann and Abraham J. Wyner. Variable length Markov chains. The Annals of Statistics, 27 (2):480-513, 1999.
    • (1999) The Annals of Statistics , vol.27 , Issue.2 , pp. 480-513
    • Bühlmann, P.1    Wyner, A.J.2
  • 5
    • 0021405335 scopus 로고
    • Data compression using adaptive coding and partial string matching
    • J. Cleary and I. Witten. Data compression using adaptive coding and partial string matching. IEEE Transactions on Communications, 32(4):394-402, 1984.
    • (1984) IEEE Transactions on Communications , vol.32 , Issue.4 , pp. 394-402
    • Cleary, J.1    Witten, I.2
  • 7
    • 84862280383 scopus 로고    scopus 로고
    • Bayesian variable order Markov models: Towards bayesian predictive state representations
    • June
    • Christos Dimitrakakis. Bayesian variable order Markov models: Towards bayesian predictive state representations. Technical Report IAS-UVA-09-04, University of Amsterdam, June 2009.
    • (2009) Technical Report IAS-UVA-09-04, University of Amsterdam
    • Dimitrakakis, C.1
  • 9
    • 0000780135 scopus 로고
    • Prior distributions on spaces of probability measures
    • ISSN 00905364
    • Thomas S. Ferguson. Prior distributions on spaces of probability measures. The Annals of Statistics, 2(4): 615-629, 1974. ISSN 00905364.
    • (1974) The Annals of Statistics , vol.2 , Issue.4 , pp. 615-629
    • Ferguson, T.S.1
  • 10
    • 0037262841 scopus 로고    scopus 로고
    • Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks
    • N. Friedman and D. Koller. Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks. Machine Learning, 50(1):95-125, 2003.
    • (2003) Machine Learning , vol.50 , Issue.1 , pp. 95-125
    • Friedman, N.1    Koller, D.2
  • 13
    • 27644594036 scopus 로고    scopus 로고
    • Stationary autoregressive models via a bayesian nonparametric approach
    • Ramsés H. Mena and Stephen G. Walker. Stationary autoregressive models via a bayesian nonparametric approach. Journal of Time Series Analysis, 26(6): 789-805, 2005.
    • (2005) Journal of Time Series Analysis , vol.26 , Issue.6 , pp. 789-805
    • Mena, R.H.1    Walker, S.G.2
  • 15
    • 85162018872 scopus 로고    scopus 로고
    • Bayes-adaptive POMDPs
    • J.C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Cambridge, MA. MIT Press
    • Stephane Ross, Brahim Chaib-draa, and Joelle Pineau. Bayes-adaptive POMDPs. In J.C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances in Neural Information Processing Systems 20, Cambridge, MA, 2008. MIT Press.
    • (2008) Advances in Neural Information Processing Systems , vol.20
    • Ross, S.1    Chaib-Draa, B.2    Pineau, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.