This is the artifact submitted for the paper “A New Approach for Active Automata Learning Based on Apartness.” The artifact contains an implementation (called “automata-lib”) of the L# learning algorithm introduced in the paper, alongside the benchmark models. Please read the README.txt file for setup/running the experiments
Traditional Learning Automata (LA) work with the understanding that the actions are chosen purely ba...
This artifact is for the paper entitled “MAAT: A Novel Ensemble Approach to Addressing Fairness and ...
Traditional Learning Automata (LA) work with the understanding that the actions are chosen purely ba...
This is the artifact submitted for the paper “A New Approach for Active Automata Learning Based on A...
This is the artifact submitted for the paper “A New Approach for Active Automata Learning Based on A...
This is the artifact submitted for the paper “A New Approach for Active Automata Learning Based on A...
Item does not contain fulltextThis is the artifact submitted for the paper “A New Approach for Activ...
This is an artifact of our paper "Active Learning of Deterministic Timed Automata with Myhill-Nerode...
This is an artifact of our paper "Active Learning of Deterministic Timed Automata with Myhill-Nerode...
This is the archival artifact intended for artefact evaluation of the paper "An Experimental Evaluat...
This is the archival artifact intended for artefact evaluation of the paper "An Experimental Evaluat...
Active automata learning is slowly becoming a standard tool in the toolbox of the software engineer....
We provide an implementation of the automata learning software described in the associated ECOOP art...
This artifact is for the paper entitled “MAAT: A Novel Ensemble Approach to Addressing Fairness and ...
This artifact is for the paper entitled “MAAT: A Novel Ensemble Approach to Addressing Fairness and ...
Traditional Learning Automata (LA) work with the understanding that the actions are chosen purely ba...
This artifact is for the paper entitled “MAAT: A Novel Ensemble Approach to Addressing Fairness and ...
Traditional Learning Automata (LA) work with the understanding that the actions are chosen purely ba...
This is the artifact submitted for the paper “A New Approach for Active Automata Learning Based on A...
This is the artifact submitted for the paper “A New Approach for Active Automata Learning Based on A...
This is the artifact submitted for the paper “A New Approach for Active Automata Learning Based on A...
Item does not contain fulltextThis is the artifact submitted for the paper “A New Approach for Activ...
This is an artifact of our paper "Active Learning of Deterministic Timed Automata with Myhill-Nerode...
This is an artifact of our paper "Active Learning of Deterministic Timed Automata with Myhill-Nerode...
This is the archival artifact intended for artefact evaluation of the paper "An Experimental Evaluat...
This is the archival artifact intended for artefact evaluation of the paper "An Experimental Evaluat...
Active automata learning is slowly becoming a standard tool in the toolbox of the software engineer....
We provide an implementation of the automata learning software described in the associated ECOOP art...
This artifact is for the paper entitled “MAAT: A Novel Ensemble Approach to Addressing Fairness and ...
This artifact is for the paper entitled “MAAT: A Novel Ensemble Approach to Addressing Fairness and ...
Traditional Learning Automata (LA) work with the understanding that the actions are chosen purely ba...
This artifact is for the paper entitled “MAAT: A Novel Ensemble Approach to Addressing Fairness and ...
Traditional Learning Automata (LA) work with the understanding that the actions are chosen purely ba...