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Volumn 16, Issue , 2005, Pages 47-52

Incorporating linear local models in Gaussian process model

Author keywords

Gaussian process models; Nonlinear systems; Systems identification

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC); NONLINEAR DYNAMICAL SYSTEMS; NONLINEAR SYSTEMS;

EID: 79960704617     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20050703-6-cz-1902.00008     Document Type: Conference Paper
Times cited : (4)

References (9)
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    • Girard A., C.E. Rasmussen, R. Murray-Smith (2002). Multi-step ahead prediction for non linear dynamic sytems - A Gaussian Process treatment with propagation of the uncertainty, In: Advances in Neural Information processing Systems, (S. Becker and S. Thrun and K. Obermayer, (Eds.)), Vol. 15, pp. 545- 552, MIT Press, Cambridge, MA.
    • (2002) Advances in Neural Information Processing Systems , vol.15 , pp. 545-552
    • Girard, A.1    Rasmussen, C.E.2    Murray-Smith, R.3
  • 2
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    • Internal model control based on a Gaussian process prior model
    • Denver
    • Gregorčič; G. and G. Lightbody (2003). Internal model control based on a Gaussian process prior model, In: Proceedings of ACC'2003, Denver, pp. 4981-4986.
    • (2003) Proceedings of ACC'2003 , pp. 4981-4986
    • Gregorčič, G.1    Lightbody, G.2
  • 3
    • 8744274511 scopus 로고    scopus 로고
    • Dynamic systems identification with Gaussian processes
    • Vienna, expanded version accepted for publication in journal Mathematical and Computer Modelling of Dynamic Systems
    • Kocijan J., A. Girard, B. Banko and R. Murray-Smith (2003a). Dynamic Systems Identification with Gaussian Processes, In: Proceedings of 4th Mathmod, Vienna, 776-784, expanded version accepted for publication in journal Mathematical and Computer Modelling of Dynamic Systems.
    • (2003) Proceedings of 4th Mathmod , pp. 776-784
    • Kocijan, J.1    Girard, A.2    Banko, B.3    Murray-Smith, R.4
  • 5
    • 0036996352 scopus 로고    scopus 로고
    • Divide & conquer identification: Using Gaussian process priors to combine derivative and non-derivative observations in a consistent manner
    • Las Vegas
    • Leith, D. J., W. E. Leithead, E. Solak and R. Murray-Smith (2002). Divide & conquer identification: Using Gaussian process priors to combine derivative and non-derivative observations in a consistent manner, In: Conference on Decision and Control 2002, Las Vegas, pp. 624-629.
    • (2002) Conference on Decision and Control 2002 , pp. 624-629
    • Leith, D.J.1    Leithead, W.E.2    Solak, E.3    Murray-Smith, R.4
  • 6
    • 0142255296 scopus 로고    scopus 로고
    • On transient dynamics, offequilibrium behaviour and identification in blended multiple model structures
    • Karlsruhe, BA-14
    • Murray-Smith, R., T. A. Johansen and R. Shorten (1999). On transient dynamics, offequilibrium behaviour and identification in blended multiple model structures, In: European Control Conference, Karlsruhe, BA-14.
    • (1999) European Control Conference
    • Murray-Smith, R.1    Johansen, T.A.2    Shorten, R.3
  • 7
    • 0002978835 scopus 로고
    • On curve fitting and optimal design for regression (with discussion)
    • O'Hagan, A. (1978) On curve fitting and optimal design for regression (with discussion), Journal of the Royal Statistical Society B, 40, pp. 1-42.
    • (1978) Journal of the Royal Statistical Society B , vol.40 , pp. 1-42
    • O'Hagan, A.1
  • 8
    • 11144332281 scopus 로고    scopus 로고
    • Derivative observations in Gaussian Process models of dynamic systems
    • S. Becker and S. Thrun and K. Obermayer, (Eds.), MIT Press, Cambridge, MA
    • Solak, E., R. Murray-Smith, W. E. Leithead, D. J. Leith and C. E. Rasmussen (2002). Derivative observations in Gaussian Process models of dynamic systems, In: Advances in Neural Information processing Systems, (S. Becker and S. Thrun and K. Obermayer, (Eds.)), Vol. 15, pp. 529-536, MIT Press, Cambridge, MA.
    • (2002) Advances in Neural Information Processing Systems , vol.15 , pp. 529-536
    • Solak, E.1    Murray-Smith, R.2    Leithead, W.E.3    Leith, D.J.4    Rasmussen, C.E.5
  • 9
    • 0003017575 scopus 로고    scopus 로고
    • Prediction with Gaussian processes: From linear regression to linear prediction and beyond
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    • Williams, C.K.I. (1998). Prediction with Gaussian processes: From linear regression to linear prediction and beyond, In: Learning in Graphical Models (Jordan, M.I. (Ed.)), pp. 599-621, Kluwer Academic, Dordrecht.
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    • Williams, C.K.I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.