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Volumn 4132 LNCS - II, Issue , 2006, Pages 181-190

Long-term prediction of time series using state-space models

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; GAUSSIAN NOISE (ELECTRONIC); OPTIMIZATION; REGRESSION ANALYSIS; STATE SPACE METHODS;

EID: 33749850096     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11840930_19     Document Type: Conference Paper
Times cited : (2)

References (19)
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    • An unsupervised ensemble learning method for nonlinear dynamic state-space models
    • H. Valpola and J. Karhunen. An unsupervised ensemble learning method for nonlinear dynamic state-space models. Neural Computation, 14(11):2647-2692, 2002.
    • (2002) Neural Computation , vol.14 , Issue.11 , pp. 2647-2692
    • Valpola, H.1    Karhunen, J.2
  • 7
    • 0034186948 scopus 로고    scopus 로고
    • Gaussian filters for nonlinear filtering problems
    • K. Ito and K. Q. Xiong. Gaussian filters for nonlinear filtering problems. IEEE Transactions on Automatic Control, 45(5):910-927, 2000.
    • (2000) IEEE Transactions on Automatic Control , vol.45 , Issue.5 , pp. 910-927
    • Ito, K.1    Xiong, K.Q.2
  • 8
    • 0012347694 scopus 로고    scopus 로고
    • S. Haykin, editor. Wiley Series on Adaptive and Learning Systems for Signal Processing. John Wiley & Sons, Inc.
    • S. Haykin, editor. Kalman Filtering and Neural Networks. Wiley Series on Adaptive and Learning Systems for Signal Processing. John Wiley & Sons, Inc., 2001.
    • (2001) Kalman Filtering and Neural Networks
  • 12
    • 33749851034 scopus 로고
    • D. A. Rand and L. S. Young, editors. Dynamical Systems and Turbulence, chapter Detecting strange attractors in turbulence. Springer-Verlag
    • D. A. Rand and L. S. Young, editors. Dynamical Systems and Turbulence, volume 898 of Lecture Notes in Mathematics, chapter Detecting strange attractors in turbulence. Springer-Verlag, 1981.
    • (1981) Lecture Notes in Mathematics , vol.898
  • 14
    • 35048816984 scopus 로고    scopus 로고
    • Using kernel PCA for initialisation of variational bayesian nonlinear blind source separation method
    • Proceedings of the Fifth International Conference Independent Component Analysis and Blind Signal Separation (ICA 2004), Granada, Spain. Springer-Verlag
    • A. Honkela, S. Harmeling, L. Lundqvist, and H. Valpola. Using kernel PCA for initialisation of variational bayesian nonlinear blind source separation method. In Proceedings of the Fifth International Conference Independent Component Analysis and Blind Signal Separation (ICA 2004), Granada, Spain., volume 3195 of Lecture Notes in Computer Science, pages 790-797. Springer-Verlag, 2004.
    • (2004) Lecture Notes in Computer Science , vol.3195 , pp. 790-797
    • Honkela, A.1    Harmeling, S.2    Lundqvist, L.3    Valpola, H.4
  • 15
    • 0000672424 scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • J. Moody and C. J. Darken. Fast learning in networks of locally-tuned processing units. Neural Computation, pages 281-294, 1989.
    • (1989) Neural Computation , pp. 281-294
    • Moody, J.1    Darken, C.J.2
  • 18
    • 84941156810 scopus 로고    scopus 로고
    • Available from www.cis.hut.fi/projects/tsp/download.
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    • 0000412966 scopus 로고    scopus 로고
    • Forecasting of curves using classification
    • M. Cottrell, B. Girard, and P. Rousset. Forecasting of curves using classification. Journal of Forecasting, 17(5-6):429-439, 1998.
    • (1998) Journal of Forecasting , vol.17 , Issue.5-6 , pp. 429-439
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.