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learnlib-lstar from group de.learnlib (version 0.15.0)

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 0.15.0
Last update 06. February 2020
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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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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