edu::tum::cs::bayesnets::inference::LikelihoodWeightingWithUncertainEvidence Class Reference

Inheritance diagram for edu::tum::cs::bayesnets::inference::LikelihoodWeightingWithUncertainEvidence:

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List of all members.

Public Member Functions
WeightedSample	getWeightedSample (WeightedSample s, int[] nodeOrder, int[] evidenceDomainIndices) throws Exception
	LikelihoodWeightingWithUncertainEvidence (BeliefNetworkEx bn) throws Exception
Protected Attributes
final double	evidenceProbability = 0.8

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Detailed Description

This was just an experiment, the algorithm is anything but sound

Definition at line 10 of file LikelihoodWeightingWithUncertainEvidence.java.

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Constructor & Destructor Documentation

edu::tum::cs::bayesnets::inference::LikelihoodWeightingWithUncertainEvidence::LikelihoodWeightingWithUncertainEvidence

(

BeliefNetworkEx

bn

)

throws Exception [inline]

Definition at line 13 of file LikelihoodWeightingWithUncertainEvidence.java.

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Member Function Documentation

WeightedSample edu::tum::cs::bayesnets::inference::LikelihoodWeightingWithUncertainEvidence::getWeightedSample	(	WeightedSample	s,
		int[]	nodeOrder,
		int[]	evidenceDomainIndices
	)			throws Exception [inline]

Reimplemented from edu::tum::cs::bayesnets::inference::LikelihoodWeighting.

Definition at line 17 of file LikelihoodWeightingWithUncertainEvidence.java.

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Member Data Documentation

final double edu::tum::cs::bayesnets::inference::LikelihoodWeightingWithUncertainEvidence::evidenceProbability = 0.8 [protected]

Definition at line 11 of file LikelihoodWeightingWithUncertainEvidence.java.

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The documentation for this class was generated from the following file:

• LikelihoodWeightingWithUncertainEvidence.java