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learnlib-lstar from group de.learnlib (version 0.17.0)

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.

Group: de.learnlib Artifact: learnlib-lstar
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Artifact learnlib-lstar
Group de.learnlib
Version 0.17.0
Last update 15. November 2023
Tags: rivest schapire angluin oded counterexamples 0890 1021 artifact 1016 from https homing algorithm described based using including finite this maler 1070 thereof versions infinitary http optimizations inference learning learnability sequences robert 1995 paper 1993 provides variations regular dana inco sets implementation pnueli queries 90052 ronald such 1006 5401 amir automata
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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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