Uses of Package
org.dllearner.learningproblems

Packages that use org.dllearner.learningproblems
org.dllearner.algorithms Learning Algorithms. 
org.dllearner.algorithms.el Learning algorithms for the EL description logic. 
org.dllearner.algorithms.gp Genetic Programming Learning Algorithm. 
org.dllearner.algorithms.hybridgp Hybrid Learning Algorithm: A combination of Genetic Programming and Refinement Operators. 
org.dllearner.algorithms.ocel New experimental refinement operator approach, which takes obtained information about concrete examples in an algorithm run stronger into account. 
org.dllearner.algorithms.refinement Refinement Operator Approach. 
org.dllearner.core.configurators Automatically generated classes, which enable programmatically settingand getting configuration options of components. 
org.dllearner.learningproblems Supported DL-Learner learning problems. 
org.dllearner.learningproblems.fuzzydll   
org.dllearner.refinementoperators Refinement operator implementations. 
org.dllearner.utilities.datastructures Utility classesfor manipulating general data structures. 
org.dllearner.utilities.owl OWL utility classes (file manipulation, converting between different formats, orderings on OWL structures etc.). 
 

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms
EvaluatedDescriptionPosNeg
          This represents a class description, which has been evaluated by the learning algorithm, i.e. it has been checked which examples it covers.
ScorePosNeg
          The score class is used to store how well a class description did on a learning problem.
 

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.el
PosNegLP
           
 

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.gp
EvaluatedDescriptionPosNeg
          This represents a class description, which has been evaluated by the learning algorithm, i.e. it has been checked which examples it covers.
PosNegLP
           
ScorePosNeg
          The score class is used to store how well a class description did on a learning problem.
 

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.hybridgp
PosNegLP
           
ScorePosNeg
          The score class is used to store how well a class description did on a learning problem.
 

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.ocel
EvaluatedDescriptionPosNeg
          This represents a class description, which has been evaluated by the learning algorithm, i.e. it has been checked which examples it covers.
PosNegLP
           
PosOnlyLP
          A learning problem, where we learn from positive examples only.
ScorePosNeg
          The score class is used to store how well a class description did on a learning problem.
 

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.refinement
EvaluatedDescriptionPosNeg
          This represents a class description, which has been evaluated by the learning algorithm, i.e. it has been checked which examples it covers.
PosNegLP
           
ScorePosNeg
          The score class is used to store how well a class description did on a learning problem.
 

Classes in org.dllearner.learningproblems used by org.dllearner.core.configurators
ClassLearningProblem
          The problem of learning the description of an existing class in an OWL ontology.
PosNegLPStandard
          The aim of this learning problem is to learn a concept definition such that the positive examples and the negative examples do not follow.
PosNegLPStrict
           
PosOnlyLP
          A learning problem, where we learn from positive examples only.
 

Classes in org.dllearner.learningproblems used by org.dllearner.learningproblems
ClassScore
          The score of a class in ontology engineering.
EvaluatedDescriptionClass
          An evaluated description for learning classes in ontologies.
EvaluatedDescriptionPosOnly
           
Heuristics.HeuristicType
           
PosNegLP
           
PosNegLP.UseMultiInstanceChecks
          If instance checks are used for testing concepts (e.g. no retrieval), then there are several options to do this.
ScorePosNeg
          The score class is used to store how well a class description did on a learning problem.
ScorePosOnly
           
ScoreThreeValued.ScoreMethod
           
 

Classes in org.dllearner.learningproblems used by org.dllearner.learningproblems.fuzzydll
ScorePosNeg
          The score class is used to store how well a class description did on a learning problem.
 

Classes in org.dllearner.learningproblems used by org.dllearner.refinementoperators
PosNegLP
           
 

Classes in org.dllearner.learningproblems used by org.dllearner.utilities.datastructures
EvaluatedDescriptionPosNeg
          This represents a class description, which has been evaluated by the learning algorithm, i.e. it has been checked which examples it covers.
 

Classes in org.dllearner.learningproblems used by org.dllearner.utilities.owl
EvaluatedDescriptionPosNeg
          This represents a class description, which has been evaluated by the learning algorithm, i.e. it has been checked which examples it covers.
 



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Copyright © 2007-2011 Jens Lehmann