On Joint State Estimation and Model Learning Using Gaussian Process Approximations.
| Main Author: | Kullberg, Anton. |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Linköping :
Linkopings Universitet,
2021.
|
| Edition: | 1st ed. |
| Series: | Linköping Studies in Science and Technology. Licentiate Thesis Series
|
| Subjects: | |
| Online Access: | Click to View |
Similar Items
-
Dynamic REvolution : Adaptive State Estimation Via Gaussian Processes and Iterative Filtering.
by: Kullberg, Anton.
Published: (2024) -
Machine Learning Using Approximate Inference : Variational and Sequential Monte Carlo Methods.
by: Andersson Naesseth, Christian.
Published: (2018) -
Gaussian Processes for Positioning Using Radio Signal Strength Measurements.
by: Zhao, Yuxin.
Published: (2019) -
Approximating Income Distribution Dynamics Using Aggregate Data
by: Kraay, Aart, et al.
Published: (2017) -
Analytical Approximations for Bayesian Inference.
by: Ardeshiri, Tohid.
Published: (2015)


