Algorithmic learning from incomplete information: Principles and problems
Part of the Lecture Notes in Computer Science book series (LNCS, volume 381)
Chapter 4 Artificial Intelligence
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KeywordsIncomplete Information Infinite Sequence Inductive Inference Identification Type Ground Instance
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- /01/.Dana Angluin and Carl Smith, A survey of inductive inference: theory and methods, Computing Surveys 15 (1983), 237–269Google Scholar
- /02/.E. Mark Gold, Language identification in the limit, Information and Control 14 (1967), 447–474Google Scholar
- /03/.Klaus P. Jantke and Hans-Rainer Beick, Combining postulates of naturalness in inductive inference, EIK 17 (1981) 8/9, 465–484Google Scholar
- /04/.Reinhard Klette and Rolf Wiehagen, Research in the theory of inductive inference by GDR mathematicians — a survey, Inf. Sciences 22 (1980), 149–169Google Scholar
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