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...

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Bibliographic Details
Main Author: Lienart, T
Other Authors: Doucet, A
Format: Thesis
Language:English
Published: 2017
Subjects: