aGrUM  0.20.3
a C++ library for (probabilistic) graphical models
Inference Algorithms for Bayesian networks
+ Collaboration diagram for Inference Algorithms for Bayesian networks:

Detailed Description

Classes

class  gum::BarrenNodesFinder
 Detect barren nodes for inference in Bayesian networks. More...
 
class  gum::BayesBall
 Implementation of Shachter's Bayes Balls algorithm. More...
 
class  gum::dSeparation
 the d-separation algorithm as described in Koller & Friedman (2009) More...
 
class  gum::LazyPropagation< GUM_SCALAR >
 <agrum/BN/inference/lazyPropagation.h> More...
 
class  gum::LoopyBeliefPropagation< GUM_SCALAR >
 <agrum/BN/inference/loopyBeliefPropagation.h> More...
 
class  gum::ShaferShenoyInference< GUM_SCALAR >
 <agrum/BN/inference/ShaferShenoyInference.h> More...
 
class  gum::VariableElimination< GUM_SCALAR >
 <agrum/BN/inference/variableElimination.h> More...