inference Directory Reference

Directory dependency graph for inference:

Directories
directory	tools

Files
file	GibbsSampling.cpp [code]
file	GibbsSampling.h [code]
	This file contains Gibbs sampling class definition.
file	GibbsSampling_tpl.h [code]
	Implementation of Gibbs Sampling for inference in Bayesian Networks.
file	importanceSampling.cpp [code]
file	importanceSampling.h [code]
	This file contains Importance sampling class definition.
file	importanceSampling_tpl.h [code]
	Implementation of Importance Sampling for inference in Bayesian Networks.
file	lazyPropagation.cpp [code]
file	lazyPropagation.h [code]
	Implementation of a Shafer-Shenoy's-like version of lazy propagation for inference in Bayesian Networks.
file	lazyPropagation_tpl.h [code]
	Implementation of lazy propagation for inference in Bayesian Networks.
file	loopyBeliefPropagation.cpp [code]
file	loopyBeliefPropagation.h [code]
	This file contains gibbs sampling (for BNs) class definitions.
file	loopyBeliefPropagation_tpl.h [code]
	Implementation of Loopy Belief Propagation in Bayesian Networks.
file	loopySamplingInference.cpp [code]
file	loopySamplingInference.h [code]
	This file implements a Hybrid sampling class using LoopyBeliefPropagation and an approximate Inference method.
file	loopySamplingInference_tpl.h [code]
	Implements approximate inference algorithms from Loopy Belief Propagation.
file	MonteCarloSampling.cpp [code]
file	MonteCarloSampling.h [code]
	This file contains Monte Carlo sampling class definition.
file	MonteCarloSampling_tpl.h [code]
	Implementation of Monte Carlo Sampling for inference in Bayesian Networks.
file	ShaferShenoyInference.cpp [code]
file	ShaferShenoyInference.h [code]
	Implementation of Shafer-Shenoy's algorithm for inference in Bayesian Networks.
file	ShaferShenoyInference_tpl.h [code]
	Implementation of Shafer-Shenoy's propagation for inference in Bayesian Networks.
file	variableElimination.cpp [code]
file	variableElimination.h [code]
	Implementation of a variable elimination algorithm for inference in Bayesian Networks.
file	variableElimination_tpl.h [code]
	Implementation of Variable Elimination for inference in Bayesian Networks.
file	weightedSampling.cpp [code]
file	weightedSampling.h [code]
	This file contains Weighted sampling class definition.
file	weightedSampling_tpl.h [code]
	Implementation of Weighted Sampling for inference in Bayesian Networks.