Description: The package includes 3 Matlab-interfaces to the c-code:
1. inference.m
An interface to the full inference package, includes several methods for
approximate inference: Loopy Belief Propagation, Generalized Belief
Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods
(Metropolis, Gibbs, Wolff, Swendsen-Wang).
Use "help inference" from Matlab to see all options for usage.
2. gbp_preprocess.m and gbp.m
These 2 interfaces split Generalized Belief Propagation into the pre-process
stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use
only one of them, or changing some parameters in between.
Use "help gbp_preprocess" and "help gbp" from Matlab.
3. simulatedAnnealing.m
An interface to the simulated-annealing c-code. This code uses Metropolis
sampling method, the same one used for inference.
Use "help simulatedAnnealing" from Matlab.
- [_] - matlab typical algorithms (including neu
- [particle-filter-mcmc] - the program based on particle filter for
- [SuanFa] - A variety of numerical algorithms, inclu
- [TRW_S-v1.1] - The two algorithms are max-product belie
- [s3c2410-kbd-final] - Based on arm-s3c2410 key drivers based o
- [BP] - Based on the credibility of the spread o
- [gbp] - Gaussian belief propagation code in matl
- [Image-deconvolution-prior] - Deconvolution using natural image priors
- [bvsgs] - Bayes model averaging with selection of
- [gibbs_metropol_sampler] - this is r code for Gibbs sampler and Met
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