Inference on Markov random fields: methods and applications
<p>This thesis considers the problem of performing inference on undirected graphical models with continuous state spaces. These models represent conditional independence structures that can appear in the context of Bayesian Machine Learning. In the thesis, we focus on computational methods and...
Κύριος συγγραφέας: | Lienart, T |
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Άλλοι συγγραφείς: | Doucet, A |
Μορφή: | Thesis |
Γλώσσα: | English |
Έκδοση: |
2017
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Θέματα: |
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
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Neural networks for inference, inference for neural networks
ανά: Webb, S
Έκδοση: (2018) -
Piecewise-deterministic Markov chain Monte Carlo
ανά: Vanetti, P
Έκδοση: (2019) -
Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions
ανά: Samuel Livingstone, κ.ά.
Έκδοση: (2014-06-01) -
Bayesian inference with geodetic applications /
ανά: 253571 Koch, Karl-Rudolf, κ.ά.
Έκδοση: (1990) -
The predictive view of Bayesian inference
ανά: Fong, CHE
Έκδοση: (2021)