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