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Learning languages with decidable hypotheses

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Publication:2117759
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DOI10.1007/978-3-030-80049-9_3OpenAlexW3178456349MaRDI QIDQ2117759

Julian Berger, Armin Wells, Winfried Lötzsch, Vanja Doskoč, Maximilian Böther, Simon Wietheger, Jonathan Gadea Harder, Jannik Peters, Leon Schiller, Nicolas Klodt, Lars Seifert, Timo Kötzing

Publication date: 22 March 2022

Full work available at URL: https://arxiv.org/abs/2011.09866



Mathematics Subject Classification ID

Theory of computing (68Qxx)





Cites Work

  • A map of update constraints in inductive inference
  • Strongly non-U-shaped language learning results by general techniques
  • Prudence and other conditions on formal language learning
  • Learning indexed families of recursive languages from positive data: A survey
  • Language learning from texts: Mindchanges, limited memory and monotonicity
  • Results on memory-limited U-shaped learning
  • Toward a mathematical theory of inductive inference
  • Criteria of language learning
  • A Machine-Independent Theory of the Complexity of Recursive Functions
  • Language identification in the limit
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