Inference in Graphical Models

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Sabahian, Negin | 2019

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 51847 (02)
University: Sharif University of Technology
Department: Mathematical Sciences
Advisor(s): Alishahi, Kasra; Haji Mirsadeghi, Mir Omid
Abstract:
The purpose of this dissertation is to study issues in the field of graphical models.At the beginning, we will mention the main concepts of graphical models. Then we describe algorithms in exact inference. These algorithms are used to solve inferential issues and when the graph is related to the tree graph modeling. We also describe how these algorithms apply to non-tree graphs. In addition, we recall definitions such as cumulative function and set of mean parameters and important theorems applied in graphical models. Finally, we describe the important algorithms that are used to estimate the parameters in graphical models
Keywords:
Graphic Model ; Exact Inference ; Exponential Family ; Exact Algorithm