Iterative Learning from Positive Data and Negative Counterexamples
暂无分享,去创建一个
[1] Carl H. Smith,et al. The Power of Pluralism for Automatic Program Synthesis , 1982, JACM.
[2] John Case,et al. Machine Inductive Inference and Language Identification , 1982, ICALP.
[3] Manuel Blum,et al. Toward a Mathematical Theory of Inductive Inference , 1975, Inf. Control..
[4] M. Bowerman. Starting to talk worse: Clues to language acquisition from children's late speech errors , 1982 .
[5] Tatsuya Motoki,et al. Inductive Inference from all Positive and Some Negative Data , 1991, Inf. Process. Lett..
[6] John Case,et al. Memory-Limited U-Shaped Learning , 2006, COLT.
[7] John Case,et al. U-shaped, iterative, and iterative-with-counter learning , 2007, Machine Learning.
[8] Thomas Zeugmann,et al. Incremental Learning from Positive Data , 1996, J. Comput. Syst. Sci..
[9] Mark A. Fulk. Prudence and Other Conditions on Formal Language Learning , 1990, Inf. Comput..
[10] Klaus P. Jantke,et al. Combining Postulates of Naturalness in Inductive Inference , 1981, J. Inf. Process. Cybern..
[11] E. Mark Gold,et al. Language Identification in the Limit , 1967, Inf. Control..
[12] Paul Young,et al. An introduction to the general theory of algorithms , 1978 .
[13] Sandra Zilles,et al. Comparison of Query Learning and Gold-Style Learning in Dependence of the Hypothesis Space , 2004, ALT.
[14] Peter H. Schmitt,et al. Nonmonotonic and Inductive Logic: 1st International Workshop Karlsruhe, Germany, December 4-7, 1990 Proceedings , 1991 .
[15] Daniel N. Osherson,et al. Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists , 1990 .
[16] Gary James Jason,et al. The Logic of Scientific Discovery , 1988 .
[17] Thomas Zeugmann,et al. Types of monotonic language learning and their characterization , 1992, COLT '92.
[18] Rolf Wiehagen. A Thesis in Inductive Inference , 1990, Nonmonotonic and Inductive Logic.
[19] Thomas Zeugmann,et al. A Guided Tour Across the Boundaries of Learning Recursive Languages , 1995, GOSLER Final Report.
[20] John Case,et al. Comparison of Identification Criteria for Machine Inductive Inference , 1983, Theor. Comput. Sci..
[21] Rolf Wiehagen. Limes-Erkennung rekursiver Funktionen durch spezielle Strategien , 1975, J. Inf. Process. Cybern..
[22] Dana Angluin,et al. Finding Patterns Common to a Set of Strings , 1980, J. Comput. Syst. Sci..
[23] Manuel Blum,et al. A Machine-Independent Theory of the Complexity of Recursive Functions , 1967, JACM.
[24] Dana Angluin,et al. Queries and concept learning , 1988, Machine Learning.
[25] D. C. Cooper,et al. Theory of Recursive Functions and Effective Computability , 1969, The Mathematical Gazette.
[26] Chen Lin,et al. Neural Information Processing -letters and Reviews Simplify Support Vector Machines by Iterative Learning , 2022 .
[27] John Case,et al. Language Learning with Some Negative Information , 1993, J. Comput. Syst. Sci..
[28] Sanjay Jain,et al. Learning Languages from Positive Data and Negative Counterexamples , 2004, ALT.
[29] S. Pinker. Formal models of language learning , 1979, Cognition.
[30] Sanjay Jain,et al. Learning Languages from Positive Data and a Finite Number of Queries , 2004, FSTTCS.
[31] Jeffrey D. Ullman,et al. Introduction to Automata Theory, Languages and Computation , 1979 .