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...

Ausführliche Beschreibung

Bibliographische Detailangaben
1. Verfasser: Lienart, T
Weitere Verfasser: Doucet, A
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: 2017
Schlagworte: