aGrUM  0.13.2
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.