A B C D E F G H I J L M N P R S T U V

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saveBNNet(String) - Method in class umbc.ebiquity.BayesOWL.constructor.BNConstructor

Save the BN net.

saveBNNet(String) - Method in class umbc.ebiquity.BayesOWL.constructor.CPTConstructor

Save result BN.

saveNet(String) - Method in class umbc.ebiquity.BayesOWL.commonMethod.JPD2BN

Saves the revised BBN obtained into a file.

saveNet(String) - Method in class umbc.ebiquity.BayesOWL.coreAlgorithms.DIPFP

Saves the revised BBN obtained into a file.

saveNet(String) - Method in class umbc.ebiquity.BayesOWL.coreAlgorithms.EIPFP

Saves the revised BBN obtained into a file.

saveNet(String) - Method in class umbc.ebiquity.BayesOWL.coreAlgorithms.SDIPFP

This method saves the revised BBN obtained into a file.

SDIPFP - Class in umbc.ebiquity.BayesOWL.coreAlgorithms

This class implements the 'Simplified D-IPFP' algorithm based on the AISTA-2004 paper, which is a special case of the 'D-IPFP' algorithm in the UAI paper, only the simplest local constraints are allowed.

See paper:
A Bayesian Approach to Uncertainty Modeling in OWL Ontology
Zhongli Ding, Yun Peng, Ron Pan
AISTA 2004
Modifying Bayesian Networks by Probability Constraints
Yun Peng, Zhongli Ding
UAI 2005

SDIPFP(Net, SimpleConstraint[], HardEvidence[]) - Constructor for class umbc.ebiquity.BayesOWL.coreAlgorithms.SDIPFP

Constructor - 1: Given the BBN, a set of simple constraints, and a set of hard evidences to be specified in the BBN.

SDIPFP(String, SimpleConstraint[], HardEvidence[]) - Constructor for class umbc.ebiquity.BayesOWL.coreAlgorithms.SDIPFP

Constructor - 2: Given the BBN file name, a set of simple constraints, and a set of hard evidences to be specified in the BBN.

SDIPFPConditionalOneR - Class in umbc.ebiquity.BayesOWL.coreAlgorithms

This class implements the 'Simplified D-IPFP' algorithm based on the AISTA-2004 paper, with only one step for one single local conditional constraint R(V|P1,P2,...) provided.

SDIPFPConditionalOneR(Net, SimpleConditionalConstraint, HardEvidence[]) - Constructor for class umbc.ebiquity.BayesOWL.coreAlgorithms.SDIPFPConditionalOneR

Constructor.

SDIPFPMarginalOneR - Class in umbc.ebiquity.BayesOWL.coreAlgorithms

This class implements the 'Simplified D-IPFP' algorithm based on the AISTA-2004 paper, with only one step for one single simple local marginal constraint R(V) provided.

SDIPFPMarginalOneR(Net, SimpleMarginalConstraint, HardEvidence[]) - Constructor for class umbc.ebiquity.BayesOWL.coreAlgorithms.SDIPFPMarginalOneR

Constructor.

SDIPFPOneR - Class in umbc.ebiquity.BayesOWL.coreAlgorithms

This class implements the 'Simplified D-IPFP' algorithm based on the AISTA-2004 paper, with only one step for single simple constraint R(V) or R(V|P1,P2,...) provided.

SDIPFPOneR(Net, SimpleConstraint, HardEvidence[]) - Constructor for class umbc.ebiquity.BayesOWL.coreAlgorithms.SDIPFPOneR

Constructor.

setConstraintType(String) - Method in class umbc.ebiquity.BayesOWL.commonDefine.Constraint

Sets the constraint type of this constraint.

setConstraintType(String) - Method in class umbc.ebiquity.BayesOWL.commonDefine.SimpleConstraint

This method sets the constraint type of this simple constraint.

setDistributionType(String) - Method in class umbc.ebiquity.BayesOWL.commonDefine.ProbDistribution

This method sets the distribution type of this probability distribution.

setName(String) - Method in class umbc.ebiquity.BayesOWL.commonDefine.ExNode

Set node name.

setName(String) - Method in class umbc.ebiquity.BayesOWL.commonDefine.RandomVariable

This method sets the name of the random variable.

setScopeType(String) - Method in class umbc.ebiquity.BayesOWL.commonDefine.ConditionalConstraint

Sets the scope type of this conditional constraint, i.e., local or non-local.

setScopeType(String) - Method in class umbc.ebiquity.BayesOWL.commonDefine.MarginalConstraint

Sets the scope type of this marginal constraint, i.e., local or non-local.

setState(String, int) - Method in class umbc.ebiquity.BayesOWL.commonDefine.RandomVariable

This method sets one possible state of the random variable in the specified index.

setTag(ExNode.TAG) - Method in class umbc.ebiquity.BayesOWL.commonDefine.ExNode

Set node tag.

SimpleConditionalConstraint - Class in umbc.ebiquity.BayesOWL.commonDefine

This class implements a simple conditional constraint with the form of "R(V|C1, C2, ...)", where "V", "C1", "C2" ...

SimpleConditionalConstraint(CondProbDistribution) - Constructor for class umbc.ebiquity.BayesOWL.commonDefine.SimpleConditionalConstraint

Constructor.

SimpleConstraint - Class in umbc.ebiquity.BayesOWL.commonDefine

This class is an abstract class.

SimpleConstraint(String) - Constructor for class umbc.ebiquity.BayesOWL.commonDefine.SimpleConstraint

Constructor.

SimpleMarginalConstraint - Class in umbc.ebiquity.BayesOWL.commonDefine

This class implements a simple marginal constraint with the form of "R(V)", where "V" is one variable in the Bayesian Belief Network.

SimpleMarginalConstraint(JointProbDistribution) - Constructor for class umbc.ebiquity.BayesOWL.commonDefine.SimpleMarginalConstraint

Constructor.

sum() - Method in class umbc.ebiquity.BayesOWL.commonDefine.MultiDimensionalArray

This method returns the sum of all the data entries stored.

SWTResourceManager - Class in com.swtdesigner

Utility class for managing OS resources associated with SWT controls such as colors, fonts, images, etc.

SWTResourceManager() - Constructor for class com.swtdesigner.SWTResourceManager