Inference Algorithms for Bayesian networks

Collaboration diagram for Inference Algorithms for Bayesian networks:

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::dSeparationAlgorithm
	the d-separation algorithm as described in Koller & Friedman (2009) More...
class	gum::LazyPropagation< GUM_SCALAR >
	Implementation of a Shafer-Shenoy's-like version of lazy propagation for inference in Bayesian networks. More...
class	gum::LoopyBeliefPropagation< GUM_SCALAR >
	<agrum/BN/inference/loopyBeliefPropagation.h> More...
class	gum::ShaferShenoyInference< GUM_SCALAR >
	Implementation of Shafer-Shenoy's propagation algorithm for inference in Bayesian networks. More...
class	gum::VariableElimination< GUM_SCALAR >
	Implementation of a Variable Elimination's-like version of lazy propagation for inference in Bayesian networks. More...

Detailed Description