Latent Autoregressive Gaussian Processes Models for Robust System Identification
暂无分享,去创建一个
Neil D. Lawrence | Guilherme A. Barreto | Andreas Damianou | César Lincoln C. Mattos | Neil D. Lawrence | A. Damianou | C. Mattos | G. Barreto
[1] Andreas C. Damianou,et al. Deep Gaussian processes and variational propagation of uncertainty , 2015 .
[2] Carl E. Rasmussen,et al. Integrated pre-processing for Bayesian nonlinear system identification with Gaussian processes , 2013, 52nd IEEE Conference on Decision and Control.
[3] Agathe Girard,et al. Dynamic systems identification with Gaussian processes , 2005 .
[4] Carl E. Rasmussen,et al. Gaussian Process Training with Input Noise , 2011, NIPS.
[5] Neil D. Lawrence,et al. Variational inference for Student-t models: Robust Bayesian interpolation and generalised component analysis , 2005, Neurocomputing.
[6] K. Obermayer,et al. Multiple-step ahead prediction for non linear dynamic systems: A Gaussian Process treatment with propagation of the uncertainty , 2003, NIPS 2003.
[7] Kumpati S. Narendra,et al. Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.
[8] Tom Minka,et al. Expectation Propagation for approximate Bayesian inference , 2001, UAI.
[9] S. Billings. Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains , 2013 .
[10] Neil D. Lawrence,et al. Bayesian Gaussian Process Latent Variable Model , 2010, AISTATS.
[11] Malte Kuß,et al. Gaussian process models for robust regression, classification, and reinforcement learning , 2006 .
[12] Jus Kocijan,et al. Evolving Gaussian process models for prediction of ozone concentration in the air , 2013, Simul. Model. Pract. Theory.
[13] Michael I. Jordan,et al. An Introduction to Variational Methods for Graphical Models , 1999, Machine-mediated learning.
[14] Biao Huang,et al. System Identification , 2000, Control Theory for Physicists.
[15] Guilherme De A. Barreto,et al. An Empirical Evaluation of Robust Gaussian Process Models for System Identification , 2015, IDEAL.
[16] Michalis K. Titsias,et al. Variational Learning of Inducing Variables in Sparse Gaussian Processes , 2009, AISTATS.
[17] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[18] Carl E. Rasmussen,et al. Derivative Observations in Gaussian Process Models of Dynamic Systems , 2002, NIPS.
[19] Jus Kocijan,et al. Dynamical systems identification using Gaussian process models with incorporated local models , 2011, Eng. Appl. Artif. Intell..
[20] T. Johansen,et al. On transient dynamics, off-equilibrium behaviour and identification in blended multiple model structures , 1999, 1999 European Control Conference (ECC).
[21] V. Peterka. BAYESIAN APPROACH TO SYSTEM IDENTIFICATION , 1981 .
[22] Wolfram Burgard,et al. Learning Non-stationary System Dynamics Online Using Gaussian Processes , 2010, DAGM-Symposium.
[23] Carl E. Rasmussen,et al. Variational Gaussian Process State-Space Models , 2014, NIPS.
[24] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.