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Volumn 2, Issue , 2006, Pages 247-254

A Bayesian approach to nonlinear parameter identification for rigid body dynamics

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL ROBOTS; ANTHROPOMORPHIC ROBOTS; BAYESIAN NETWORKS; COMPUTER AIDED DESIGN; HYDRAULIC ACTUATORS; NONLINEAR OPTICS; RIGID STRUCTURES; ROBOTICS; SOCIAL ROBOTS;

EID: 76349092078     PISSN: None     EISSN: 2330765X     Source Type: Conference Proceeding    
DOI: 10.15607/rss.2006.ii.032     Document Type: Conference Paper
Times cited : (53)

References (21)
  • 6
    • 33749251742 scopus 로고    scopus 로고
    • The calibration index and the role of input noise in robot calibration
    • In G. Giralt and G. Hirzinger, editors Springer
    • J. M. Hollerbach and C. W. Wampler. The calibration index and the role of input noise in robot calibration. In G. Giralt and G. Hirzinger, editors, Robotics Research: The Seventh International Symposium, pages 558-568. Springer, 1996.
    • (1996) Robotics Research: The Seventh International Symposium , pp. 558-568
    • Hollerbach, J.M.1    Wampler, C.W.2
  • 11
    • 34250487811 scopus 로고
    • Gaussian elimination is not optimal
    • V. Strassen. Gaussian elimination is not optimal. Num Mathematik, 13:354-356, 1969.
    • (1969) Num Mathematik , vol.13 , pp. 354-356
    • Strassen, V.1
  • 13
    • 0000957593 scopus 로고
    • Principal component regression in exploratory statistical research
    • W.F. Massey. Principal component regression in exploratory statistical research. Journal of the American Statistical Association, 60:234-246, 1965.
    • (1965) Journal of the American Statistical Association , vol.60 , pp. 234-246
    • Massey, W.F.1
  • 17
    • 0003611509 scopus 로고
    • PhD thesis, Dept. of Computer Science, University of Toronto
    • R.M. Neal. Bayesian learning for neural networks. PhD thesis, Dept. of Computer Science, University of Toronto, 1994.
    • (1994) Bayesian Learning for Neural Networks
    • Neal, R.M.1
  • 19
    • 85004844353 scopus 로고
    • Backward, forward and stepwise automated subset selection algorithms: Frequency of obtaining authentic and noise variables
    • S. Derksen and H.J. Keselman. Backward, forward and stepwise automated subset selection algorithms: Frequency of obtaining authentic and noise variables. British Journal of Mathematical and Statistical Psychology, 45:265-282, 1992.
    • (1992) British Journal of Mathematical and Statistical Psychology , vol.45 , pp. 265-282
    • Derksen, S.1    Keselman, H.J.2
  • 20
    • 0002692783 scopus 로고
    • Soft modeling by latent variables: The nonlinear iterative partial least squares approach
    • In J. Gani, editor. Academic Press
    • H. Wold. Soft modeling by latent variables: The nonlinear iterative partial least squares approach. In J. Gani, editor, Perspectives in probability and statistics, papers in honor of M. S. Bartlett. Academic Press, 1975.
    • (1975) Perspectives in Probability and Statistics, Papers in Honor of M. S. Bartlett
    • Wold, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.