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

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

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List of all members.

Classes
class	BackSamplingDistribution
Public Member Functions
SampledDistribution	_infer () throws Exception
void	getSample (WeightedSample s)
	JointBackwardSampling (BeliefNetworkEx bn) throws Exception
Protected Member Functions
BackSamplingDistribution	getBackSamplingDistribution (BeliefNode node, WeightedSample s)
void	getOrdering (int[] evidenceDomainIndices)
void	prepareInference (int[] evidenceDomainIndices)
boolean	sampleBackward (BeliefNode node, WeightedSample s)
boolean	sampleForward (BeliefNode node, WeightedSample s)
Package Attributes
Vector< BeliefNode >	backwardSampledNodes
int[]	evidenceDomainIndices
Vector< BeliefNode >	forwardSampledNodes
HashSet< BeliefNode >	outsideSamplingOrder

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Detailed Description

an implementation of the backward simulation algorithm as described by Robert Fung and Brendan Del Favero in "Backward Simulation in Bayesian Networks" (UAI 1994)

Author:

jain

Definition at line 21 of file JointBackwardSampling.java.

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Constructor & Destructor Documentation

edu::tum::cs::bayesnets::inference::JointBackwardSampling::JointBackwardSampling

(

BeliefNetworkEx

bn

)

throws Exception [inline]

Definition at line 89 of file JointBackwardSampling.java.

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Member Function Documentation

SampledDistribution edu::tum::cs::bayesnets::inference::JointBackwardSampling::_infer

(

)

throws Exception [inline, virtual]

Implements edu::tum::cs::bayesnets::inference::Sampler.

Definition at line 188 of file JointBackwardSampling.java.

BackSamplingDistribution edu::tum::cs::bayesnets::inference::JointBackwardSampling::getBackSamplingDistribution	(	BeliefNode	node,
		WeightedSample	s
	)			[inline, protected]

Definition at line 171 of file JointBackwardSampling.java.

void edu::tum::cs::bayesnets::inference::JointBackwardSampling::getOrdering

(

int[]

evidenceDomainIndices

)

[inline, protected]

gets the sampling order by filling the members for backward and forward sampled nodes as well as the set of nodes not in the sampling order

Parameters:

evidenceDomainIndices

Definition at line 97 of file JointBackwardSampling.java.

void edu::tum::cs::bayesnets::inference::JointBackwardSampling::getSample

(

WeightedSample

s

)

[inline]

gets one full sample of all of the nodes

Parameters:

s

Definition at line 213 of file JointBackwardSampling.java.

void edu::tum::cs::bayesnets::inference::JointBackwardSampling::prepareInference

(

int[]

evidenceDomainIndices

)

[inline, protected]

Definition at line 177 of file JointBackwardSampling.java.

boolean edu::tum::cs::bayesnets::inference::JointBackwardSampling::sampleBackward	(	BeliefNode	node,
		WeightedSample	s
	)			[inline, protected]

samples backward from the given node, instantiating its parents

Parameters:

	node
	s	the sample to store the instantiation information in; the weight is also updated with the normalizing constant that is obtained

Returns:

true if sampling succeeded, false otherwise

Definition at line 148 of file JointBackwardSampling.java.

boolean edu::tum::cs::bayesnets::inference::JointBackwardSampling::sampleForward	(	BeliefNode	node,
		WeightedSample	s
	)			[inline, protected]

Definition at line 251 of file JointBackwardSampling.java.

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Member Data Documentation

Vector<BeliefNode> edu::tum::cs::bayesnets::inference::JointBackwardSampling::backwardSampledNodes [package]

Definition at line 23 of file JointBackwardSampling.java.

int [] edu::tum::cs::bayesnets::inference::JointBackwardSampling::evidenceDomainIndices [package]

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

Definition at line 26 of file JointBackwardSampling.java.

Vector<BeliefNode> edu::tum::cs::bayesnets::inference::JointBackwardSampling::forwardSampledNodes [package]

Definition at line 24 of file JointBackwardSampling.java.

HashSet<BeliefNode> edu::tum::cs::bayesnets::inference::JointBackwardSampling::outsideSamplingOrder [package]

Definition at line 25 of file JointBackwardSampling.java.

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

• JointBackwardSampling.java