Download learnlib-procedural JAR file with all dependencies
learnlib-adt from group de.learnlib (version 0.13.0)
This artifact provides the implementation of the ADT learning algorithm as described in the Master thesis
"Active Automata Learning with Adaptive Distinguishing Sequences" (http://arxiv.org/abs/1902.01139) by Markus
Frohme.
3 downloads
learnlib-api from group de.learnlib (version 0.13.1)
Infrastructure and core interfaces of LearnLib
Group: de.learnlib Artifact: learnlib-api
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1 downloads
learnlib-dhc from group de.learnlib (version 0.12.0)
The Direct Hypothesis Construction algorithm for active learning of Mealy machines
1 downloads
learnlib-ttt from group de.learnlib (version 0.13.1)
This artifact provides the implementation of the TTT algorithm as described in the paper "The TTT Algorithm: A
Redundancy-Free Approach to Active Automata Learning" (https://doi.org/10.1007/978-3-319-11164-3_26) by Malte
Isberner, Falk Howar, and Bernhard Steffen.
Group: de.learnlib Artifact: learnlib-ttt
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1 downloads
learnlib-property-oracles from group de.learnlib (version 0.17.0)
A collection of property oracles
learnlib-parallelism from group de.learnlib (version 0.17.0)
Support for parallelizing membership queries
learnlib-emptiness-oracles from group de.learnlib (version 0.17.0)
A collection of emptiness oracles
learnlib-reuse from group de.learnlib (version 0.17.0)
Reuse Tree for (intelligently) caching membership queries
learnlib-mapper from group de.learnlib (version 0.17.0)
learnlib-drivers-basic from group de.learnlib (version 0.17.0)
Basic Test Driver Generation Support
learnlib-settings from group de.learnlib (version 0.17.0)
A collection of utility methods to parse LearnLib specific settings
learnlib-rpni-mdl from group de.learnlib (version 0.17.0)
This artifact provides the implementation of (a blue-fringe version of) the "regular positive negative
inference" (RPNI) learning algorithm as presented in the paper "Inferring regular languages in polynomial update
time" (https://dx.doi.org/10.1142/9789812797902_0004) by Jose Oncina and Pedro García using the "minimum
description length" (MDL) heuristic.
More details on this algorithm can be found in the book "Grammatical Inference"
(https://doi.org/10.1017/CBO9781139194655) by Colin de la Higuera.
learnlib-rpni-edsm from group de.learnlib (version 0.17.0)
This artifact provides the implementation of (a blue-fringe version of) the "regular positive negative
inference" (RPNI) learning algorithm as presented in the paper "Inferring regular languages in polynomial update
time" (https://dx.doi.org/10.1142/9789812797902_0004) by Jose Oncina and Pedro García using the "evidence-driven
state merging" (EDSM) heuristic.
More details on this algorithm can be found in the book "Grammatical Inference"
(https://doi.org/10.1017/CBO9781139194655) by Colin de la Higuera.
learnlib-rpni from group de.learnlib (version 0.17.0)
This artifact provides the implementation of (a blue-fringe version of) the "regular positive negative
inference" (RPNI) learning algorithm as presented in the paper "Inferring regular languages in polynomial update
time" (https://dx.doi.org/10.1142/9789812797902_0004) by Jose Oncina and Pedro García.
More details on the blue-fringe version of this algorithm can be found in the book "Grammatical Inference"
(https://doi.org/10.1017/CBO9781139194655) by Colin de la Higuera.
learnlib-datastructure-pta from group de.learnlib (version 0.17.0)
Data- and utility classes for Prefix-Tree-Acceptors
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