edu::tum::cs::bayesnets::inference Namespace Reference

Classes
class	BackwardSampling
class	BackwardSamplingWithChildren
class	BackwardSamplingWithPriors
class	BeliefPropagation
class	BNJInference
class	BNJPearl
class	BNJVariableElimination
class	EnumerationAsk
class	GibbsSampling
class	IJGP
interface	ITimeLimitedInference
class	JointBackwardSampling
class	LikelihoodWeighting
class	LikelihoodWeightingWithUncertainEvidence
class	SampledDistribution
class	Sampler
class	SampleSearch
class	SATIS_BSampler
class	SmileBackwardSampling
class	SmileEPIS
class	SmileInference
class	SmilePearl
class	TimeLimitedInference
class	VariableElimination
class	WeightedSample
Enumerations
enum	Algorithm {   LikelihoodWeighting = ("likelihood weighting", LikelihoodWeighting.class), LWU = ("likelihood weighting with uncertain evidence", LikelihoodWeightingWithUncertainEvidence.class), GibbsSampling = ("Gibbs sampling (MCMC)", GibbsSampling.class), EPIS = ("importance sampling based on evidence prepropagation [SMILE]", SmileEPIS.class),   BackwardSampling = ("backward simulation", BackwardSampling.class), BackwardSamplingPriors = ("backward simulation with prior bias", BackwardSamplingWithPriors.class), BackwardSamplingWithChildren = ("backward simulation with extended context", BackwardSamplingWithChildren.class), SmileBackwardSampling = ("backward simulation [SMILE]", SmileBackwardSampling.class),   SATIS = ("SAT-IS: satisfiability-based importance sampling", SATIS_BSampler.class), SampleSearch = ("SampleSearch: backtracking search for satisfiable states", SampleSearch.class), IJGP = ("Iterative Join-Graph Propagation", IJGP.class), BeliefPropagation = ("Belief Propagation", BeliefPropagation.class),   EnumerationAsk = ("Enumeration-Ask (exact, highly inefficient)", EnumerationAsk.class), Pearl = ("Pearl's algorithm for polytrees (exact)", BNJPearl.class), SmilePearl = ("Pearl's algorithm for polytrees (exact) [SMILE]", SmilePearl.class), VarElim = ("variable elimination (exact)", VariableElimination.class),   Experimental = ("an experimental algorithm (usually beta)", SampleSearch.class) }

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Enumeration Type Documentation

enum edu::tum::cs::bayesnets::inference::Algorithm

Enumerator:

LikelihoodWeighting
LWU
GibbsSampling
EPIS
BackwardSampling
BackwardSamplingPriors
BackwardSamplingWithChildren
SmileBackwardSampling
SATIS
SampleSearch
IJGP
BeliefPropagation
EnumerationAsk
Pearl
SmilePearl
VarElim
Experimental

Definition at line 13 of file bayesnets/inference/Algorithm.java.