Online Constrained Bayesian Inference and Learning of Gaussian-Process State-Space Models
Author:
Affiliation:
1. Mitsubishi Electric Research Laboratories (MERL),Cambridge,MA,USA,02139
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867635.pdf?arnumber=9867635
Reference18 articles.
1. Online Bayesian inference and learning of Gaussian-process state–space models
2. Hilbert space methods for reduced-rank Gaussian process regression
3. Online Joint State Inference and Learning of Partially Unknown State-Space Models
4. Linearly constrained Gaussian processes;jidling;Int Conf Neural Inf Process Syst,2017
5. Some matrix-variate distribution theory: Notational considerations and a Bayesian application
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1. Gaussian Processes with State-Dependent Noise for Stochastic Control;2023 IEEE Conference on Control Technology and Applications (CCTA);2023-08-16
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