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Volumn 1, Issue , 2012, Pages 799-806

Factorized asymptotic Bayesian hidden Markov models

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN INFERENCE; HIDDEN MARKOV MODELS (HMMS); HIDDEN STATE; HIDDEN VARIABLE; HYPER-PARAMETER; INFORMATION CRITERION; ITERATIVE OPTIMIZATION; LOG LIKELIHOOD; LOWER BOUNDS; MAXIMIZATION ALGORITHM; MIXTURE MODEL; MODEL SELECTION; NON-PARAMETRIC BAYESIAN; SHRINKAGE EFFECTS; TIME-DEPENDENT; VARIATIONAL BAYESIAN;

EID: 84867117234     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (17)
  • 1
    • 0001862769 scopus 로고
    • An inequality and associated maximization technique in statistical estimation of probabilistic functions of Markov processes
    • Baum, L. E. An inequality and associated maximization technique in statistical estimation of probabilistic functions of Markov processes. Inequalities, 3:1-8, 1972.
    • (1972) Inequalities , vol.3 , pp. 1-8
    • Baum, L.E.1
  • 6
    • 84925865851 scopus 로고    scopus 로고
    • Factorized asymptotic bayesian inference for mixture models
    • Fujimaki, Ryohei and Morinaga, Satoshi. Factorized asymptotic bayesian inference for mixture models. In AISTATS, 2012.
    • (2012) AISTATS
    • Fujimaki, R.1    Morinaga, S.2
  • 7
    • 80052654180 scopus 로고    scopus 로고
    • Online heterogeneous mixture modeling with marginal and copula selection
    • Fujimaki, Ryohei, Sogawa, Yasuhiro, and Morinaga, Satoshi. Online heterogeneous mixture modeling with marginal and copula selection. In KDD, 2011.
    • (2011) KDD
    • Fujimaki, R.1    Sogawa, Y.2    Morinaga, S.3
  • 8
    • 0031268341 scopus 로고    scopus 로고
    • Factorial hidden markov models
    • Ghahramani, Z. and Jordan, M. I. Factorial hidden markov models. Machine Learning, 29:245-273, 1997.
    • (1997) Machine Learning , vol.29 , pp. 245-273
    • Ghahramani, Z.1    Jordan, M.I.2
  • 9
    • 47949127602 scopus 로고    scopus 로고
    • Collapsed variational dirichlet process mixture models
    • Kurihara, Kenichi, Welling, Max, and Teh, Yee Whye. Collapsed variational dirichlet process mixture models. In IJCAI, pp. 2796-2801, 2007.
    • (2007) IJCAI , pp. 2796-2801
    • Kurihara, K.1    Welling, M.2    Teh, Y.W.3
  • 11
    • 0024610919 scopus 로고
    • A tutorial on hidden markov models and selected applications in speech recognition
    • Rabiner, L. R. A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of IEEE, 77:257-86, 1989.
    • (1989) Proceedings of IEEE , vol.77 , pp. 257-286
    • Rabiner, L.R.1
  • 12
  • 13
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz, Gideon. Estimating the dimension of a model. The Annals of Statistics, 6(2):461-464, 1978.
    • (1978) The Annals of Statistics , vol.6 , Issue.2 , pp. 461-464
    • Schwarz, G.1
  • 14
    • 42649106991 scopus 로고    scopus 로고
    • A collapsed variational bayesian inference algorithm for latent dirichlet allocation
    • Teh, Yee Whye, Newman, Dave, and Welling, Max. A collapsed variational bayesian inference algorithm for latent dirichlet allocation. In NIPS, pp. 1378-1385, 2006.
    • (2006) NIPS , pp. 1378-1385
    • Teh, Y.W.1    Newman, D.2    Welling, M.3
  • 16
    • 84858786659 scopus 로고    scopus 로고
    • The infinite factorial hidden Markov model
    • van Gael, J., Teh, Y.-W., and Ghahramani, Z. The infinite factorial hidden Markov model. In NIPS, 2009.
    • (2009) NIPS
    • Van Gael, J.1    Teh, Y.-W.2    Ghahramani, Z.3
  • 17
    • 27844446553 scopus 로고    scopus 로고
    • Algebraic geometry and stochastic complexities of hidden Markov models
    • Yamazaki, K. and Watanabe, S. Algebraic geometry and stochastic complexities of hidden Markov models. Neurocomputing, 69:62-84, 2005.
    • (2005) Neurocomputing , vol.69 , pp. 62-84
    • Yamazaki, K.1    Watanabe, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.