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

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INIT_SHOW_TEXT - Static variable in class umbc.ebiquity.BayesOWL.commonDefine.Message

InitializeCPT - Class in umbc.ebiquity.BayesOWL.constructor

Initialize Conditional Probability Tables when building BN structure.

InitializeCPT() - Constructor for class umbc.ebiquity.BayesOWL.constructor.InitializeCPT

Constructor.

IPFP - Class in umbc.ebiquity.BayesOWL.coreAlgorithms

This class implements standard IPFP algorithm.
Also see class IPFPOneR.

Q(X): A joint distribution of random variables in X.
{R(Si)}: A set of constraints to be satisfied and each Si is a non-empty subset of X.
(1) Q_k(X) = 0 if Q_k-1(Si) = 0
(2) Q_k(X) = Q_k-1(X) * R(Si) / Q_k-1(Si) if Q_k-1(Si) > 0
Assume Q(X), {R(Si)} are valid distributions, complete and consistent.

IPFP(JointProbDistribution, JointProbDistribution[]) - Constructor for class umbc.ebiquity.BayesOWL.coreAlgorithms.IPFP

Constructor.

IPFPOneR - Class in umbc.ebiquity.BayesOWL.coreAlgorithms

This class implements standard IPFP algorithm for only one constraint.

Q(X): A joint distribution of random variables in X.
R(Si): A constraint to be satisfied, where Si is a non-empty subset of X.
(1) Q_k(X) = 0 if Q_k-1(Si) = 0
(2) Q_k(X) = Q_k-1(X) * R(Si) / Q_k-1(Si) if Q_k-1(Si) > 0
Assume Q(X), R(Si) are valid distributions, complete and consistent.

IPFPOneR(JointProbDistribution, JointProbDistribution) - Constructor for class umbc.ebiquity.BayesOWL.coreAlgorithms.IPFPOneR

Constructor.

isValid() - Method in class umbc.ebiquity.BayesOWL.commonDefine.JointProbDistribution

This method checks whether this is a valid JPD table.