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This artifact provides the implementation of the L* learning algorithm described in the paper "Learning Regular Sets from Queries and Counterexamples" (https://doi.org/10.1016/0890-5401(87)90052-6) by Dana Angluin including variations and optimizations thereof such as the versions based on "On the Learnability of Infinitary Regular Sets" (https://dx.doi.org/10.1006/inco.1995.1070) by Oded Maler and Amir Pnueli or "Inference of finite automata using homing sequences" (http://dx.doi.org/10.1006/inco.1993.1021) by Ronald L. Rivest and Robert E. Schapire.

Files of the artifact learnlib-lstar version 0.13.1 from the group de.learnlib.

Artifact learnlib-lstar
Group de.learnlib
Version 0.13.1
Last update 11. May 2018
Tags: counterexample with module dana pnueli provides schapire maler analysis enhanced flexible access extensions rivest machines algorithm version optimized mealy original variants proposed angluin this
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URL Not specified
License not specified
Dependencies amount 13
Dependencies learnlib-api, learnlib-datastructure-ot, learnlib-counterexamples, learnlib-util, automata-api, automata-commons-util, automata-core, checker-qual, slf4j-api, buildergen, learnlib-learning-examples, learnlib-learner-it-support, testng,
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Source code of learnlib-lstar version 0.13.1

META-INF
META-INF.META-INF.MANIFEST.MF
META-INF.maven.de.learnlib.learnlib-lstar
META-INF.maven.de.learnlib.learnlib-lstar.META-INF.maven.de.learnlib.learnlib-lstar.pom.properties
META-INF.maven.de.learnlib.learnlib-lstar.META-INF.maven.de.learnlib.learnlib-lstar.pom.xml
de.learnlib.algorithms.lstar
de.learnlib.algorithms.lstar.de.learnlib.algorithms.lstar.AbstractAutomatonLStar
de.learnlib.algorithms.lstar.de.learnlib.algorithms.lstar.AbstractExtensibleAutomatonLStar
de.learnlib.algorithms.lstar.de.learnlib.algorithms.lstar.AbstractLStar
de.learnlib.algorithms.lstar.de.learnlib.algorithms.lstar.AbstractLStarState
de.learnlib.algorithms.lstar.de.learnlib.algorithms.lstar.AutomatonLStarState
de.learnlib.algorithms.lstar.ce
de.learnlib.algorithms.lstar.ce.de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandler
de.learnlib.algorithms.lstar.ce.de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
de.learnlib.algorithms.lstar.closing
de.learnlib.algorithms.lstar.closing.de.learnlib.algorithms.lstar.closing.CloseRandomStrategy
de.learnlib.algorithms.lstar.closing.de.learnlib.algorithms.lstar.closing.ClosingStrategies
de.learnlib.algorithms.lstar.closing.de.learnlib.algorithms.lstar.closing.ClosingStrategy
de.learnlib.algorithms.lstar.dfa
de.learnlib.algorithms.lstar.dfa.de.learnlib.algorithms.lstar.dfa.ClassicLStarDFA
de.learnlib.algorithms.lstar.dfa.de.learnlib.algorithms.lstar.dfa.ExtensibleLStarDFA
de.learnlib.algorithms.lstar.dfa.de.learnlib.algorithms.lstar.dfa.LStarDFAUtil
de.learnlib.algorithms.lstar.mealy
de.learnlib.algorithms.lstar.mealy.de.learnlib.algorithms.lstar.mealy.ClassicLStarMealy
de.learnlib.algorithms.lstar.mealy.de.learnlib.algorithms.lstar.mealy.ExtensibleLStarMealy
de.learnlib.algorithms.lstar.mealy.de.learnlib.algorithms.lstar.mealy.LStarMealyUtil
de.learnlib.algorithms.malerpnueli
de.learnlib.algorithms.malerpnueli.de.learnlib.algorithms.malerpnueli.MalerPnueliDFA
de.learnlib.algorithms.malerpnueli.de.learnlib.algorithms.malerpnueli.MalerPnueliMealy
de.learnlib.algorithms.rivestschapire
de.learnlib.algorithms.rivestschapire.de.learnlib.algorithms.rivestschapire.RivestSchapireDFA
de.learnlib.algorithms.rivestschapire.de.learnlib.algorithms.rivestschapire.RivestSchapireMealy




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