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...
Prif Awdur: | Lienart, T |
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Awduron Eraill: | Doucet, A |
Fformat: | Traethawd Ymchwil |
Iaith: | English |
Cyhoeddwyd: |
2017
|
Pynciau: |
Eitemau Tebyg
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Neural networks for inference, inference for neural networks
gan: Webb, S
Cyhoeddwyd: (2018) -
Piecewise-deterministic Markov chain Monte Carlo
gan: Vanetti, P
Cyhoeddwyd: (2019) -
Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions
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Cyhoeddwyd: (2014-06-01) -
Bayesian inference with geodetic applications /
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Cyhoeddwyd: (1990) -
The predictive view of Bayesian inference
gan: Fong, CHE
Cyhoeddwyd: (2021)