Package umbc.ebiquity.BayesOWL.commonDefine

Class Summary

ConditionalConstraint	ConditionalConstraint is an abstract class.
CondProbDistribution	This class implements a full conditional probability distribution, which includes: (1) An array of n prior random variables {vi}, i = 1 to n, each vi has vdi states (2) An array of m condition random variables {ci}, i = 1 to m, each ci has cdi states (3) A m+n-dimensional array with size "cd1 x cd2 x ...
Constraint	Constraint is an abstract class.
ExNode	ExNode.java is built for OWL2BN translation use. For translating OWL into BN, a tag of node (must be one of these: COMPLEMENT, DISJOINT, EQUIVALENT, INTERSECTION, UNION.) is needed for CPT constructing use. See paper: BayesOWL: Uncertainty Modeling in Semantic Web Ontologies Zhongli Ding, Yun Peng, Rong Pan
HardEvidence	This class implements one hard evidence of BBN.
JointProbDistribution	This class implements a full joint probability distribution table, which includes: (1) An array of n random variables {vi}, i = 1 to n, each variable vi has di states (2) A n-dimensional array with size "d1 x d2 x ...
LocalConditionalConstraint	This class implements a local conditional constraint with the form of "R(C|L)", where "L" (a set) contains at least one parent variables of variable C from the Bayesian Belief Network.
LocalMarginalConstraint	This class implements a local marginal constraint with the form of "R(C)" or "R(C, L)", where "L" (a set) contains at least one parent variables of variable "C" from the Bayesian Belief Network.
MarginalConstraint	This class is an abstract class.
Message
MultiDimensionalArray	This class simulates a multi-dimensional array by wrapping an one-dimensional array, which is used specifically to store 'double' values. For an arbitrary n-dimensional array "A" with dimensions "d1, d2, ..., dn", we use an one-dimensional array "B" of size "m = d1 * d2 * ...
NonlocalConditionalConstraint	This class implements a non-local conditional constraint with the form of "R(A|B)", where "A" (a set), "B" (a set) are disjoint with each other and both contains at least one variable from the Bayesian Belief Network.
NonlocalMarginalConstraint	This class implements a non-local marginal constraint with the form of "R(Y)", where "Y" (a set) contains at least two variables from the Bayesian Belief Network.
ProbDistribution	* ProbDistribution is an abstract class.
RandomVariable	This class implements a random variable in the classic discrete probability theory, which includes: (1) a name for this random variable (2) a set of possible states this random variable can take
SimpleConditionalConstraint	This class implements a simple conditional constraint with the form of "R(V|C1, C2, ...)", where "V", "C1", "C2" ...
SimpleConstraint	This class is an abstract class.
SimpleMarginalConstraint	This class implements a simple marginal constraint with the form of "R(V)", where "V" is one variable in the Bayesian Belief Network.

Enum Summary

ExNode.TAG