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Dual Types of Hypotheses in Inductive Inference.

, , and . Nonmonotonic and Inductive Logic, volume 659 of Lecture Notes in Computer Science, page 209-240. Springer, (1991)

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Language Learning From Texts: Degrees of Instrinsic Complexity and Their Characterizations., , and . COLT, page 47-58. Morgan Kaufmann, (2000)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 the Power of Inductive Inference from Good Examples., , and . Theor. Comput. Sci., 110 (1): 131-144 (1993)On Learning Languages from Positive Data and a Limited Number of Short Counterexamples., and . COLT, volume 4005 of Lecture Notes in Computer Science, page 259-273. Springer, (2006)Probabilistic versus Deterministic Memory Limited Learning., , and . GOSLER Final Report, volume 961 of Lecture Notes in Computer Science, page 155-161. Springer, (1995)On the Impact of Forgetting on Learning Machines., , and . J. ACM, 42 (6): 1146-1168 (1995)Learning from Positive Data and Negative Counterexamples: A Survey., and . Computing with New Resources, volume 8808 of Lecture Notes in Computer Science, page 323-337. Springer, (2014)On the Impact of Forgetting on Learning Machines., , and . COLT, page 165-174. ACM, (1993)Iterative Learning from Texts and Counterexamples Using Additional Information., and . ALT, volume 5809 of Lecture Notes in Computer Science, page 308-322. Springer, (2009)