D G K R S

D

de.learnlib.algorithms.kv.dfa - package de.learnlib.algorithms.kv.dfa

de.learnlib.algorithms.kv.mealy - package de.learnlib.algorithms.kv.mealy

G

getHypothesisModel() - Method in class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA

getHypothesisModel() - Method in class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy

K

KearnsVaziraniDFA<I> - Class in de.learnlib.algorithms.kv.dfa

The Kearns/Vazirani algorithm for learning DFA, as described in the book "An Introduction to Computational Learning Theory" by Michael Kearns and Umesh Vazirani.

KearnsVaziraniDFA(Alphabet<I>, MembershipOracle<I, Boolean>, boolean, AcexAnalyzer) - Constructor for class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA

Constructor.

KearnsVaziraniMealy<I,O> - Class in de.learnlib.algorithms.kv.mealy

An adaption of the Kearns/Vazirani algorithm for Mealy machines.

KearnsVaziraniMealy(Alphabet<I>, MembershipOracle<I, Word<O>>, boolean, AcexAnalyzer) - Constructor for class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy

R

refineHypothesis(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA

refineHypothesis(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy

S

startLearning() - Method in class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA

startLearning() - Method in class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy

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