Uses of Interface
de.learnlib.algorithm.LearningAlgorithm.MooreLearner
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Uses of LearningAlgorithm.MooreLearner in de.learnlib.algorithm.aaar.explicit
Classes in de.learnlib.algorithm.aaar.explicit with type parameters of type LearningAlgorithm.MooreLearner Modifier and Type Class Description class
ExplicitAAARLearnerMoore<L extends LearningAlgorithm.MooreLearner<CI,O> & net.automatalib.alphabet.SupportsGrowingAlphabet<CI>,AI,CI,O>
ALearningAlgorithm.MooreLearner
-specific refinement ofAbstractExplicitAAARLearner
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Uses of LearningAlgorithm.MooreLearner in de.learnlib.algorithm.aaar.generic
Classes in de.learnlib.algorithm.aaar.generic with type parameters of type LearningAlgorithm.MooreLearner Modifier and Type Class Description class
GenericAAARLearnerMoore<L extends LearningAlgorithm.MooreLearner<CI,O> & net.automatalib.alphabet.SupportsGrowingAlphabet<CI>,AI,CI,O>
AMooreMachine
-specific refinement ofAbstractGenericAAARLearner
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Uses of LearningAlgorithm.MooreLearner in de.learnlib.algorithm.lstar.moore
Classes in de.learnlib.algorithm.lstar.moore that implement LearningAlgorithm.MooreLearner Modifier and Type Class Description class
ExtensibleLStarMoore<I,O>
AMooreMachine
-based specialization of the extensible L* learner. -
Uses of LearningAlgorithm.MooreLearner in de.learnlib.algorithm.malerpnueli
Classes in de.learnlib.algorithm.malerpnueli that implement LearningAlgorithm.MooreLearner Modifier and Type Class Description class
MalerPnueliMoore<I,O>
AMooreMachine
-based specialization of the L* learner which uses the counterexample analysis strategy proposed by Maler & Pnueli. -
Uses of LearningAlgorithm.MooreLearner in de.learnlib.algorithm.observationpack.moore
Classes in de.learnlib.algorithm.observationpack.moore that implement LearningAlgorithm.MooreLearner Modifier and Type Class Description class
OPLearnerMoore<I,O>
AMooreMachine
-based specialization of theAbstractOPLearner
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Uses of LearningAlgorithm.MooreLearner in de.learnlib.algorithm.rivestschapire
Classes in de.learnlib.algorithm.rivestschapire that implement LearningAlgorithm.MooreLearner Modifier and Type Class Description class
RivestSchapireMoore<I,O>
AMooreMachine
-based specialization of the L* learner which uses the counterexample analysis strategy proposed by Rivest & Schapire. -
Uses of LearningAlgorithm.MooreLearner in de.learnlib.algorithm.ttt.moore
Classes in de.learnlib.algorithm.ttt.moore that implement LearningAlgorithm.MooreLearner Modifier and Type Class Description class
TTTLearnerMoore<I,O>
AMooreMachine
-based specialization ofAbstractTTTLearner
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Uses of LearningAlgorithm.MooreLearner in de.learnlib.datastructure.observationtable
Subinterfaces of LearningAlgorithm.MooreLearner in de.learnlib.datastructure.observationtable Modifier and Type Interface Description static interface
OTLearner.OTLearnerMoore<I,O>
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Uses of LearningAlgorithm.MooreLearner in de.learnlib.filter.statistic.learner
Constructors in de.learnlib.filter.statistic.learner with parameters of type LearningAlgorithm.MooreLearner Constructor Description MooreRefinementCounterLearner(LearningAlgorithm.MooreLearner<I,O> learningAlgorithm)
Delegates toRefinementCounterLearner(LearningAlgorithm)
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Uses of LearningAlgorithm.MooreLearner in de.learnlib.util.moore
Methods in de.learnlib.util.moore that return LearningAlgorithm.MooreLearner Modifier and Type Method Description static <M extends net.automatalib.automaton.transducer.MooreMachine<?,I,?,O>,I,O>
LearningAlgorithm.MooreLearner<I,O>MooreUtil. wrapSymbolLearner(LearningAlgorithm<M,I,O> learner)
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