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| Packages that use PosNegLP | |
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| 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.learningproblems | Supported DL-Learner learning problems. |
| org.dllearner.refinementoperators | Refinement operator implementations. |
| Uses of PosNegLP in org.dllearner.algorithms.el |
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| Constructors in org.dllearner.algorithms.el with parameters of type PosNegLP | |
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ELLearningAlgorithm(PosNegLP problem,
AbstractReasonerComponent reasoner)
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ELLearningAlgorithmDisjunctive(PosNegLP problem,
AbstractReasonerComponent reasoner)
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| Uses of PosNegLP in org.dllearner.algorithms.gp |
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| Constructors in org.dllearner.algorithms.gp with parameters of type PosNegLP | |
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GP(PosNegLP learningProblem,
AbstractReasonerComponent rs)
Creates an algorithm object. |
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| Uses of PosNegLP in org.dllearner.algorithms.hybridgp |
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| Constructors in org.dllearner.algorithms.hybridgp with parameters of type PosNegLP | |
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Psi(PosNegLP learningProblem,
AbstractReasonerComponent reasoningService)
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| Uses of PosNegLP in org.dllearner.algorithms.ocel |
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| Constructors in org.dllearner.algorithms.ocel with parameters of type PosNegLP | |
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OCEL(PosNegLP learningProblem,
AbstractReasonerComponent reasoningService)
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| Uses of PosNegLP in org.dllearner.algorithms.refinement |
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| Constructors in org.dllearner.algorithms.refinement with parameters of type PosNegLP | |
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ROLearner(PosNegLP learningProblem,
AbstractReasonerComponent reasoningService)
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| Uses of PosNegLP in org.dllearner.learningproblems |
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| Subclasses of PosNegLP in org.dllearner.learningproblems | |
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class |
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. |
class |
PosNegLPStrict
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| Uses of PosNegLP in org.dllearner.refinementoperators |
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| Constructors in org.dllearner.refinementoperators with parameters of type PosNegLP | |
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PsiDown(PosNegLP learningProblem,
AbstractReasonerComponent reasoningService)
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PsiUp(PosNegLP learningProblem,
AbstractReasonerComponent reasoningService)
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