|
|||||||||
| PREV NEXT | FRAMES NO FRAMES | ||||||||
| 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. |
|
|
|||||||||
| PREV NEXT | FRAMES NO FRAMES | ||||||||