This artifact provides the implementation of the Sparse OT learning algorithm as described in the paper "Learning Mealy Machines with Sparse Observation Tables" (https://doi.org/10.1007/978-3-032-05792-1_10) by Wolffhardt Schwabe, Paul Kogel, and Sabine Glesner.

Compile Dependencies (9)

Category/LicenseGroup / ArtifactVersionUpdates
Apache 2.0
de.learnlib » learnlib-api
Infrastructure and core interfaces of LearnLib
19.0.0
Apache 2.0
de.learnlib » learnlib-counterexamples
A collection of algorithms for handling counterexamples in automata learning
19.0.0
Apache 2.0
de.learnlib » learnlib-util
A collection of utility methods for learning setups (oracle wrappers, etc.)
19.0.0
Apache 2.0
de.learnlib.testsupport » learnlib-learner-it-support
Support classes for easily writing integration test cases for learning algorithms
19.0.0
Apache 2.0
de.learnlib.testsupport » learnlib-test-support
Support classes for easily writing unit tests for various components of LearnLib
19.0.0
Apache 2.0
net.automatalib » automata-api
This artifact contains the API of AutomataLib, which mainly consists of interfaces
13.0.0
Apache 2.0
net.automatalib » automata-commons-util
Basic utility library containing several useful classes to ease everyday programming.
13.0.0
Apache 2.0
net.automatalib » automata-core
The core artifact of AutomataLib. This library contains concrete implementations for many
13.0.0
org.checkerframework » checker-qual
checker-qual contains annotations (type qualifiers) that a programmerwrites to specify Java code for type-checking by ...
4.2.14.2.2