Learning with Uncertainty: Gaussian Processes and Relevance Vector Machines
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[1] L. Glass,et al. Oscillation and chaos in physiological control systems. , 1977, Science.
[2] A. O'Hagan,et al. Curve Fitting and Optimal Design for Prediction , 1978 .
[3] Dale E. Seborg,et al. Adaptive nonlinear control of a pH neutralization process , 1994, IEEE Trans. Control. Syst. Technol..
[4] Carl E. Rasmussen,et al. In Advances in Neural Information Processing Systems , 2011 .
[5] Geoffrey E. Hinton,et al. Bayesian Learning for Neural Networks , 1995 .
[6] David Mackay,et al. Gaussian Processes - A Replacement for Supervised Neural Networks? , 1997 .
[7] Geoffrey E. Hinton,et al. Evaluation of Gaussian processes and other methods for non-linear regression , 1997 .
[8] Daniel Sbarbaro,et al. Nonlinear adaptive control using non-parametric Gaussian Process prior models , 2002 .
[9] Roderick Murray-Smith,et al. Gaussian Process priors with Uncertain Inputs: Multiple-Step-Ahead Prediction , 2002 .
[10] Agathe Girard,et al. Propagation of uncertainty in Bayesian kernel models - application to multiple-step ahead forecasting , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[11] Agathe Girard,et al. Prediction at an Uncertain Input for Gaussian Processes and Relevance Vector Machines Application to Multiple-Step Ahead Time-Series Forecasting , 2002 .