A Novel Family of Finite Automata for Recognizing and Learning $$\omega $$-Regular Languages
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Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-45329-8_3
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3. Angluin, D., Fisman, D.: Learning regular omega languages. Theor. Comput. Sci. 650, 57–72 (2016). https://doi.org/10.1016/j.tcs.2016.07.031
4. Angluin, D., Fisman, D.: Regular $$\omega $$-languages with an informative right congruence. Inf. Comput. 278, 104598 (2021). https://doi.org/10.1016/j.ic.2020.104598
5. Bohn, L., Löding, C.: Passive learning of deterministic Büchi automata by combinations of DFAs. In: Bojanczyk, M., Merelli, E., Woodruff, D.P. (eds.) 49th International Colloquium on Automata, Languages, and Programming, ICALP 2022, 4–8 July 2022, Paris, France. LIPIcs, vol. 229, pp. 114:1–114:20. Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2022). https://doi.org/10.4230/LIPIcs.ICALP.2022.114
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1. A Novel Family of Finite Automata for Recognizing and Learning $$\omega $$-Regular Languages;Automated Technology for Verification and Analysis;2023
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