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References
Dana Angluin and Carl Smith, A survey of inductive inference: theory and methods, Computing Surveys 15 (1983), 237–269
E. Mark Gold, Language identification in the limit, Information and Control 14 (1967), 447–474
Klaus P. Jantke and Hans-Rainer Beick, Combining postulates of naturalness in inductive inference, EIK 17 (1981) 8/9, 465–484
Reinhard Klette and Rolf Wiehagen, Research in the theory of inductive inference by GDR mathematicians — a survey, Inf. Sciences 22 (1980), 149–169
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© 1989 Springer-Verlag Berlin Heidelberg
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Jantke, K.P. (1989). Algorithmic learning from incomplete information: Principles and problems. In: Dassow, J., Kelemen, J. (eds) Machines, Languages, and Complexity. IMYCS 1988. Lecture Notes in Computer Science, vol 381. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0015939
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DOI: https://doi.org/10.1007/BFb0015939
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