Automatic Learning from Positive Data and Negative Counterexamples
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[1] Ryo Yoshinaka,et al. Distributional learning of parallel multiple context-free grammars , 2013, Machine Learning.
[2] John Case,et al. Automatic functions, linear time and learning , 2013, Log. Methods Comput. Sci..
[3] Samuel E. Moelius. Characteristics of Minimal Effective Programming Systems , 2012, CiE.
[4] Arno Pauly,et al. Closed choice and a Uniform Low Basis Theorem , 2010, Ann. Pure Appl. Log..
[5] Sanjay Jain,et al. ON AUTOMATIC FAMILIES , 2011 .
[6] Sumit Gulwani,et al. Synthesis of loop-free programs , 2011, PLDI '11.
[7] Alexander Clark. Towards General Algorithms for Grammatical Inference , 2010, ALT.
[8] Sanjay Jain,et al. Learnability of Automatic Classes , 2010, LATA.
[9] John Case,et al. Difficulties in Forcing Fairness of Polynomial Time Inductive Inference , 2009, ALT.
[10] Satoru Miyano,et al. A machine discovery from amino acid sequences by decision trees over regular patterns , 1993, New Generation Computing.
[11] Klaus P. Jantke. Monotonic and non-monotonic inductive inference , 2009, New Generation Computing.
[12] Sanjay Jain,et al. Iterative Learning from Positive Data and Negative Counterexamples , 2007, ALT.
[13] Sandra Zilles,et al. Relations between Gold-style learning and query learning , 2005, Inf. Comput..
[14] Sanjay Jain,et al. Learning Languages from Positive Data and Negative Counterexamples , 2004, ALT.
[15] Sandra Zilles,et al. Comparison of Query Learning and Gold-Style Learning in Dependence of the Hypothesis Space , 2004, ALT.
[16] Rolf Wiehagen,et al. Learning recursive languages from good examples , 2004, Annals of Mathematics and Artificial Intelligence.
[17] Henning Fernau,et al. Even linear simple matrix languages: formal language properties and grammatical inference , 2002, Theor. Comput. Sci..
[18] Susumu Hayashi,et al. Limit-Computable Mathematics and Its Applications , 2002, CSL.
[19] Robert H. Sloan,et al. BOOK REVIEW: "SYSTEMS THAT LEARN: AN INTRODUCTION TO LEARNING THEORY, SECOND EDITION", SANJAY JAIN, DANIEL OSHERSON, JAMES S. ROYER and ARUN SHARMA , 2001 .
[20] Jochen Nessel,et al. Learning erasing pattern languages with queries , 2005, Theor. Comput. Sci..
[21] Achim Blumensath,et al. Automatic structures , 2000, Proceedings Fifteenth Annual IEEE Symposium on Logic in Computer Science (Cat. No.99CB36332).
[22] Thomas Zeugmann,et al. Incremental Learning from Positive Data , 1996, J. Comput. Syst. Sci..
[23] Frank Stephan,et al. Language Learning from Texts: Mindchanges, Limited Memory, and Monotonicity , 1995, Inf. Comput..
[24] Carl H. Smith,et al. On the impact of forgetting on learning machines , 1995, JACM.
[25] Thomas Zeugmann,et al. A Guided Tour Across the Boundaries of Learning Recursive Languages , 1995, GOSLER Final Report.
[26] Anil Nerode,et al. Automatic Presentations of Structures , 1994, LCC.
[27] Takeshi Shinohara,et al. Rich Classes Inferable from Positive Data: Length-Bounded Elementary Formal Systems , 1994, Inf. Comput..
[28] Thomas Zeugmann,et al. Language learning in dependence on the space of hypotheses , 1993, COLT '93.
[29] John Case,et al. Language Learning with Some Negative Information , 1993, J. Comput. Syst. Sci..
[30] Akihiro Yamamoto,et al. Algorithmic Learning Theory with Elementary Formal Systems , 1992 .
[31] Akihiro Yamamoto,et al. Learning Elementary Formal Systems , 1992, Theor. Comput. Sci..
[32] Satoru Miyano,et al. More About Learning Elementary Formal Systems , 1991, Nonmonotonic and Inductive Logic.
[33] Peter H. Schmitt,et al. Nonmonotonic and Inductive Logic: 1st International Workshop Karlsruhe, Germany, December 4-7, 1990 Proceedings , 1991 .
[34] Tatsuya Motoki,et al. Inductive Inference from all Positive and Some Negative Data , 1991, Inf. Process. Lett..
[35] Rolf Wiehagen. A Thesis in Inductive Inference , 1990, Nonmonotonic and Inductive Logic.
[36] Daniel N. Osherson,et al. Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists , 1990 .
[37] Mark A. Fulk. Prudence and Other Conditions on Formal Language Learning , 1990, Inf. Comput..
[38] Leonard Pitt,et al. Inductive Inference, DFAs, and Computational Complexity , 1989, AII.
[39] Tao Jiang,et al. Learning regular languages from counterexamples , 1988, COLT '88.
[40] Carl H. Smith,et al. Learning via queries , 1988, [Proceedings 1988] 29th Annual Symposium on Foundations of Computer Science.
[41] Dana Angluin,et al. Queries and concept learning , 1988, Machine Learning.
[42] R. Treiman,et al. Brown & Hanlon revisited: mothers' sensitivity to ungrammatical forms , 1984, Journal of Child Language.
[43] John Case,et al. Comparison of Identification Criteria for Machine Inductive Inference , 1983, Theor. Comput. Sci..
[44] John Case,et al. Machine Inductive Inference and Language Identification , 1982, ICALP.
[45] M. Bowerman. Starting to talk worse: Clues to language acquisition from children's late speech errors , 1982 .
[46] Dana Angluin,et al. Finding Patterns Common to a Set of Strings , 1980, J. Comput. Syst. Sci..
[47] Dana Angluin,et al. Inductive Inference of Formal Languages from Positive Data , 1980, Inf. Control..
[48] S. Pinker. Formal models of language learning , 1979, Cognition.
[49] Manuel Blum,et al. Toward a Mathematical Theory of Inductive Inference , 1975, Inf. Control..
[50] Rolf Wiehagen. Limes-Erkennung rekursiver Funktionen durch spezielle Strategien , 1975, J. Inf. Process. Cybern..
[51] Jr. Hartley Rogers. Theory of Recursive Functions and Effective Computability , 1969 .
[52] E. Mark Gold,et al. Language Identification in the Limit , 1967, Inf. Control..
[53] M. Kendall,et al. The Logic of Scientific Discovery. , 1959 .