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Volumn 5, Issue 4, 2009, Pages 1027-1041

Online learning algorithm of dynamic bayesian networks for nonstationary signal processing

Author keywords

Convergence property; Dynamic Bayesian networks; Hidden Markov model; Markov chain; Online estimation

Indexed keywords


EID: 64349098639     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (12)

References (19)
  • 1
    • 64349112335 scopus 로고    scopus 로고
    • H. C. Cho, M. S. F and K. S. Lee, Design of time-varying stochastic process with dynamic Bayesian networks, KIEE J. Electr. Eng. Technol., 2, no.4, pp.543-548, 2007.
    • H. C. Cho, M. S. F and K. S. Lee, Design of time-varying stochastic process with dynamic Bayesian networks, KIEE J. Electr. Eng. Technol., vol.2, no.4, pp.543-548, 2007.
  • 3
    • 0030287048 scopus 로고    scopus 로고
    • The expectation-maximization algorithm
    • T. K. Moon, The expectation-maximization algorithm, IEEE Signal Processing Magazine, vol.13, no.6, pp.47-60, 1996.
    • (1996) IEEE Signal Processing Magazine , vol.13 , Issue.6 , pp. 47-60
    • Moon, T.K.1
  • 5
    • 34748819869 scopus 로고    scopus 로고
    • Early classifications of bearing faults using hidden Markov models, Gaussian mixture models, mel-frequency cepstral coefficients and fractals
    • F. V. Nelwamondo, T. Marwala and U. Mahola, Early classifications of bearing faults using hidden Markov models, Gaussian mixture models, mel-frequency cepstral coefficients and fractals, International Journal of Innovative Computing, Information and Control, vol.2, no.6, pp.1281-1299, 2006.
    • (2006) International Journal of Innovative Computing, Information and Control , vol.2 , Issue.6 , pp. 1281-1299
    • Nelwamondo, F.V.1    Marwala, T.2    Mahola, U.3
  • 6
    • 0032673276 scopus 로고    scopus 로고
    • Analysis of a risk-sensitive control problem for hidden Markov chains
    • D. Hernandez-Hernandez, S. I. Marcus and P. J. Fard, Analysis of a risk-sensitive control problem for hidden Markov chains, IEEE Trans, on Automatic Control, vol.44, no.5, pp.1093-1100, 1999.
    • (1999) IEEE Trans, on Automatic Control , vol.44 , Issue.5 , pp. 1093-1100
    • Hernandez-Hernandez, D.1    Marcus, S.I.2    Fard, P.J.3
  • 7
    • 64349123324 scopus 로고    scopus 로고
    • Probability density estimation with dynamic Bayesian networks
    • H. C. Cho, S. M. Fadali and K. S. Lee, Probability density estimation with dynamic Bayesian networks, Int. J. of Control, Automation, & Systems, vol.6, no.2, pp.278-281, 2008.
    • (2008) Int. J. of Control, Automation, & Systems , vol.6 , Issue.2 , pp. 278-281
    • Cho, H.C.1    Fadali, S.M.2    Lee, K.S.3
  • 8
    • 0001588636 scopus 로고
    • Smooth on-line learning algorithm for hidden Markov models
    • P. Baldi and Y. Chauvin, Smooth on-line learning algorithm for hidden Markov models, Neural Computation, vol.6, no.2, pp.307-318, 1994.
    • (1994) Neural Computation , vol.6 , Issue.2 , pp. 307-318
    • Baldi, P.1    Chauvin, Y.2
  • 9
    • 0032075655 scopus 로고    scopus 로고
    • Adaptive estimation of HMM transition probabilities
    • J. J. Ford and J. B. Moore, Adaptive estimation of HMM transition probabilities, IEEE Trans, on Signal Processing, vol.46, no.5, pp. 1374-1385, 1998.
    • (1998) IEEE Trans, on Signal Processing , vol.46 , Issue.5 , pp. 1374-1385
    • Ford, J.J.1    Moore, J.B.2
  • 10
    • 0032691629 scopus 로고    scopus 로고
    • Online estimation of hidden Markov models
    • J. C. Stiller and G. Radons, Online estimation of hidden Markov models, IEEE Signal Processing Letters, vol.6, no.8, pp.213-215, 1999.
    • (1999) IEEE Signal Processing Letters , vol.6 , Issue.8 , pp. 213-215
    • Stiller, J.C.1    Radons, G.2
  • 11
    • 50149106967 scopus 로고    scopus 로고
    • online learning of Bayesian network parameters, 2001
    • I. Cohen and A. Bronstein, Adaptive online learning of Bayesian network parameters, http://www.hpl.hp.com/techreports/2001/HPL-2001-156.pdf, 2001.
    • Adaptive
    • Cohen, I.1    Bronstein, A.2
  • 13
    • 0001473437 scopus 로고
    • On estimation of a probability density function and mode
    • E. Parzen, On estimation of a probability density function and mode, Annals of Mathematical Statistics, vol.33, no.3, pp.1065-1076, 1962.
    • (1962) Annals of Mathematical Statistics , vol.33 , Issue.3 , pp. 1065-1076
    • Parzen, E.1
  • 15
    • 0027187355 scopus 로고
    • Hidden Markov model signal processing in presence of unknown deterministic inferences
    • V. Krishnamurthy, J. B. Moore and S.-H. Chung, Hidden Markov model signal processing in presence of unknown deterministic inferences, IEEE Transaction on Automatic Control, vol.38, no.l, pp.146-152, 1993.
    • (1993) IEEE Transaction on Automatic Control , vol.38 , Issue.L , pp. 146-152
    • Krishnamurthy, V.1    Moore, J.B.2    Chung, S.-H.3
  • 18
    • 33646856898 scopus 로고    scopus 로고
    • Online estimation algorithm for the unknown probability density functions of random parameters in auto-regression and exogenous stochastic systems
    • H. Wang, A. Wang and Y. Wang, Online estimation algorithm for the unknown probability density functions of random parameters in auto-regression and exogenous stochastic systems, IEEE Proc-Control Theory Applications, vol.153, no.4, pp.462-468, 2006.
    • (2006) IEEE Proc-Control Theory Applications , vol.153 , Issue.4 , pp. 462-468
    • Wang, H.1    Wang, A.2    Wang, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.