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Probabilistic versus Deterministic Memory Limited Learning.

, , and . GOSLER Final Report, volume 961 of Lecture Notes in Computer Science, page 155-161. Springer, (1995)

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On the Power of Probabilistic Inductive Inference in Nonstandard Numberings., , and . Elektronische Informationsverarbeitung und Kybernetik, 25 (5/6): 239-243 (1989)Language Learning From Texts: Degrees of Instrinsic Complexity and Their Characterizations., , and . COLT, page 47-58. Morgan Kaufmann, (2000)Automatic learning from positive data and negative counterexamples., , and . Inf. Comput., (2017)Probabilistic versus Deterministic Memory Limited Learning., , and . GOSLER Final Report, volume 961 of Lecture Notes in Computer Science, page 155-161. Springer, (1995)Learning recursive functions from approximations., , , and . EuroCOLT, volume 904 of Lecture Notes in Computer Science, page 140-153. Springer, (1995)One-Shot Learners Using Negative Counterexamples and Nearest Positive Examples., and . ALT, volume 4754 of Lecture Notes in Computer Science, page 257-271. Springer, (2007)On Separation of the Emptiness and Equivalence Problems for Program Schemes., and . Inf. Process. Lett., 20 (2): 91-93 (1985)Language Learning from Texts: Mindchanges, Limited Memory, and Monotonicity., and . Inf. Comput., 123 (2): 224-241 (1995)On the Power of Inductive Inference from Good Examples., , and . Theor. Comput. Sci., 110 (1): 131-144 (1993)The Inclusion Problem for some Classes of Deterministic Multitape Automata.. Theor. Comput. Sci., (1983)