Abstract
In this paper, we study a learning procedure from positive data for bounded unions of certain class of languages. Our key tools are the notion of characteristic sets and hypergraphs. We generate hypergraphs from given positive data and exploit them in order to find characteristic sets.
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Kameda, Y., Tokunaga, H., Yamamoto, A. (2008). Learning Bounded Unions of Noetherian Closed Set Systems Via Characteristic Sets. In: Clark, A., Coste, F., Miclet, L. (eds) Grammatical Inference: Algorithms and Applications. ICGI 2008. Lecture Notes in Computer Science(), vol 5278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88009-7_8
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DOI: https://doi.org/10.1007/978-3-540-88009-7_8
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