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January 24, 2010 | History

Belief propagation 1 edition

Belief propagation
Dennis Kao

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Belief propagation.

Published 2005 .
Written in English.

About the Book

There are a wide assortment of descriptions of the belief propagation algorithm for marginalisation because of its vast applicability. Hence the following thesis aims to use consistent notation first to describe the crux of graphical models, in particular the relationship between Markov random fields, Bayesian networks, and factor graphs. Secondly, to illustrate the fundamentals and preliminary analyses of belief propagation, namely its relevance to Bethe free energy and LDPC codes, and a precursory empirical investigation. Finally, to discuss the application of belief propagation to satisfiability, culminating in survey propagation, one of belief propagation's promising progeny.

Edition Notes

Source: Masters Abstracts International, Volume: 44-02, page: 0935.

Advisor: A. Urquhart.

Thesis (M.Sc.)--University of Toronto, 2005.

Electronic version licensed for access by U. of T. users.

GERSTEIN MICROTEXT copy on microfiche (2 microfiches).

The Physical Object

133 leaves.
Number of pages

ID Numbers

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History Created December 11, 2009 · 2 revisions Download catalog record: RDF / JSON

January 24, 2010 Edited by WorkBot add more information to works
December 11, 2009 Created by WorkBot add works page