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Volumn 4507 LNCS, Issue , 2007, Pages 782-789

Kernel methods applied to time series forecasting

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; PROBLEM SOLVING; TIME SERIES ANALYSIS;

EID: 38049108050     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73007-1_94     Document Type: Conference Paper
Times cited : (8)

References (13)
  • 2
    • 0003319647 scopus 로고    scopus 로고
    • Introduction to Gaussian processes
    • Bishop, C.M, ed, Neural Networks and Machine Learning, Kluwer Academic Publishers, Dordrecht
    • MacKay, D.J.C.: Introduction to Gaussian processes. In: Bishop, C.M. (ed.) Neural Networks and Machine Learning, NATO ASI Series, pp. 133-166. Kluwer Academic Publishers, Dordrecht (1998)
    • (1998) NATO ASI Series , pp. 133-166
    • MacKay, D.J.C.1
  • 5
    • 0003301456 scopus 로고    scopus 로고
    • Bayesian learning for neural networks
    • Springer, Berlin, Heidelberg, New York
    • Neal, R.M.: Bayesian learning for neural networks. Lecture Notes in Statistics, vol. 118. Springer, Berlin, Heidelberg, New York (1996)
    • (1996) Lecture Notes in Statistics , vol.118
    • Neal, R.M.1
  • 6
    • 8344270238 scopus 로고    scopus 로고
    • Gaussian process for nonstationary time series prediction
    • Elsevier Science BV, Amsterdam
    • Brahim-Belhouari, S., Bermak, A.: Gaussian process for nonstationary time series prediction. In: Computational Statistics and Data Analysis, vol. 4, pp. 705-712. Elsevier Science BV, Amsterdam (2004)
    • (2004) Computational Statistics and Data Analysis , vol.4 , pp. 705-712
    • Brahim-Belhouari, S.1    Bermak, A.2
  • 8
    • 25144480349 scopus 로고    scopus 로고
    • Ji, Y., Hao, J., Reyhani, N., Lendasse, A.: Direct and Recursive Prediction of Time Series Using Mutual Information Selection. In: Cabestany, J., Prieto, A.G., Sandoval, F. (eds.) IWANN 2005. LNCS, 3512, Springer, Berlin, Heidelberg, New York, 10101017 (2005)
    • Ji, Y., Hao, J., Reyhani, N., Lendasse, A.: Direct and Recursive Prediction of Time Series Using Mutual Information Selection. In: Cabestany, J., Prieto, A.G., Sandoval, F. (eds.) IWANN 2005. LNCS, vol. 3512, Springer, Berlin, Heidelberg, New York, 10101017 (2005)
  • 9
    • 38049117513 scopus 로고    scopus 로고
    • A Novel Approach to ARMA Time Series Model Identication by Neural Networks
    • World Scientific and Engineering Academy and Society
    • Valenzuela, O., Rojas, L., Marquez, L., Pasadas, M.: A Novel Approach to ARMA Time Series Model Identication by Neural Networks. WSEAS Transactions on Circuits and Systems, vol 3(2), pp. 342-347, World Scientific and Engineering Academy and Society (2004)
    • (2004) WSEAS Transactions on Circuits and Systems , vol.3 , Issue.2 , pp. 342-347
    • Valenzuela, O.1    Rojas, L.2    Marquez, L.3    Pasadas, M.4
  • 13
    • 0025108740 scopus 로고
    • Weighted k-nearest neighbor method for the calculation of missing values
    • Elsevier Science BV, Amsterdam
    • Todeschini, R.: Weighted k-nearest neighbor method for the calculation of missing values. In: Chemometrics and Intelligent Laboratory Systems, vol. 9 (2), pp. 201-205. Elsevier Science BV, Amsterdam (1990)
    • (1990) Chemometrics and Intelligent Laboratory Systems , vol.9 , Issue.2 , pp. 201-205
    • Todeschini, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.