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SumProductLab for Factor Graphs

by Henry Leung

 

06 Feb 2010 (Updated 24 Mar 2010)

This is an platform for experiments with factor graphs.

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Description

The SumProductLab provides a set of basic factor nodes for building up a factor graph. One can try out ideas by instantiating the necessary constraint nodes, connecting them up, and giving some evidence. The sum-product (or belief propagation) algorithm will compute the message to each node in the entire network. Finally, marginal probability of any variable in the graph can then be calculated.

Factor graphs can be used to model a wide range of systems. That means the same algorithm can be used to solve problems of different natures.

Examples are provided to demonstrate the usages of the pre-defined factor nodes. More information can be found in the included SumProductLab Reference. For startup and installation, please read the SumProductLab Quick Startup.

MATLAB release MATLAB 7.9 (2009b)
Other requirements Matlab 7.6 (2008a) or later
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09 Jun 2010 Joao Henriques  
07 Jan 2012 Michael Chen  
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Updates
26 Feb 2010

R2.00 is expanded to include linear systems with scalar and real variables.

24 Mar 2010

The ls_add3_node and ls_equ3_node are replaced by more general ls_add_node and ls_equ_node. The ls_add_node handles both add and subtraction. All of ls_ the nodes are real and complex ready. Global variable linear_scalar is introduced.

Tag Activity for this File
Tag Applied By Date/Time
factor node Henry Leung 08 Feb 2010 10:32:44
sumproduct Henry Leung 08 Feb 2010 10:32:44
belief propagation Henry Leung 08 Feb 2010 10:32:44
bayesian network Henry Leung 08 Feb 2010 10:32:44
markov random field Henry Leung 08 Feb 2010 10:32:45
sudoku Henry Leung 08 Feb 2010 10:32:45
hidden markov Henry Leung 08 Feb 2010 10:32:45
linear system Henry Leung 26 Feb 2010 11:03:40
kalman filter Henry Leung 26 Feb 2010 11:03:40
hidden markov Janez Podobnik 01 Jun 2010 08:30:26
markov random field Pelin KU? 18 Apr 2011 09:27:09

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