|
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
Ang80a
|
D. Angluin. Finding patterns common to a set of strings. Journal of Computer and System Sciences, 21:46-62, 1980.
|
| |
Ang80b
|
D. Angluin. Inductive inference of formal lang uages from positive data.Information and ontrol, 45:117-135, 1980.
|
 |
Ang82
|
|
 |
AS83
|
|
| |
Bar74
|
J. Barzdin. Two theorems on the limiting synthesis of functions. In Theory of Algorithms and Programs, Latvian State Umversity, R~ga, 210:82-88, 1974.
|
| |
BB75
|
L. Blum and M. Blum. Toward a mathematical theory of inductive inference. Information and Control, 28:125-155, 1975.
|
| |
BC93
|
|
| |
BCJ95
|
|
| |
Ber85
|
|
| |
BF72
|
J. Barzdin and R. Freivalds. On the prediction of g{~neral recursive functions. Sower Mathematics okladyj 13:1224-1228~ 1972.
|
 |
Blu67
|
|
| |
Cas74
|
J. Case. Periodicity in generations of automata. Mathematical Systems Theory, 8:15-32, 1974.
|
| |
Cas86
|
J. Case. Learning machines. In W. Demopoulos and A. Marras, editors, Language Learning and Concept Acquisition. Ablex Publishing Company, 1986.
|
| |
Cas88
|
|
| |
Cas92
|
J. Caee. The power of vacillation in language learning. Technical Report 93-08, University of Delaware, 1992. Expands on {Cas88}; journal version revised for possible pubIication.
|
| |
Cas94
|
J. Case. Infinitary self-reference in learning theory. Journal of Experimental and Theoretical Artificial Intelligence, 6:3-16, 1994.
|
| |
CL82
|
|
 |
CS78
|
|
| |
CS83
|
J. Case and C. Smith. Comparison of identification criteria for machine inductive inference. Theoretical Computer Science, 25:193-220, 1983.
|
 |
dJK96
|
|
| |
Fre85
|
R. Freivalds. Recursiveness of the enumerating functions increases the inferrability of recursively enumerable sets. Bulletin of the European Association for Theoretical Computer Science, 27:35-40, 1985.
|
| |
Ful85
|
|
| |
Ful90a
|
|
| |
Ful90b
|
M. Fulk. Robust separations in inductive inference. In Proceedings of the 31st Annual Symposium on Foundations of Computer Science, pages 405-410, St. Louis, Missouri 1990.
|
| |
Gle86
|
L. Gleitman. Biological dispositions to learn language. In W. Demopoulos and A. Marras, editors, Language Learning and Concept Acquisition. Ablex Publ. Co., 1986.
|
| |
Gol67
|
E. Gold. Language identification in the limit. Information and Control, 10:447-474, 1967.
|
| |
HU79
|
|
| |
Kir92
|
D. Kirsh. PDP learnability and innate knowledge of language. In S. Davis, editor, Connect~omsm: Theory and Practice, pages 297-322. Oxford University Press, NY, 1992.
|
| |
KLHM93
|
S. Kapur, B. Lust, W. Harbert, and G. Martohardjono. Universal grammar and learnability theory: The case of binding domains and the 'subset principle'. In E. Reuland and W. Abraham, editors, Knowledge and Language, volume I, pages 185-216. Kluwer, 1993.
|
| |
KW80
|
R. Klette and R. Wiehagen. Research in the theory of inductive inference by GDR mathematicians - A survey. Information Sciences, 22:149- 169, 1980.
|
| |
LM89
|
N. Littlestone and Warmuth M. The weighted majority algorithm. In Symposium on the Theory of Computation, pages 256-261, 1989.
|
 |
LZ93
|
|
 |
MR67
|
|
| |
Muk92
|
|
| |
MW87
|
R. Manzini and K. Wexler. Parameters, binding theory and learnability. Lingmstic Inquiry, 18:413-444, 1987.
|
| |
MY78
|
|
| |
OSW82
|
D. Osherson, M. Stob, and S. Weinstein. Ideal learning machines. Cognitive Science, 6:277-290, 1982.
|
| |
OSW84
|
D. Osherson, M. Stob, and S. Weinstein. Learning theory and natural language. Cognition, 17:1-28, 1984.
|
| |
OSW86a
|
D. Osherson, M. Stob, and S. Weinstein. An analysis of a learning paradigm. In W. Demopoulos and A. Marras, editors, Language Learning and Concept Acquisztion. Ablex Pub- 1. Co., 1986.
|
| |
OSW86b
|
|
| |
OSW88
|
|
| |
OW82a
|
D. Osherson and S. Weinstein. Criteria of language learning. Information and Control, 52:123-138, 1982.
|
| |
OW82b
|
D. Osherson and S. Weinstein. A note on formal learning theory. Cognitwn, 11:77-88, 1982.
|
| |
PEH64
|
M. Pour-E1 and W. Howard. A structural criterion for recursive enumeration without repetition. Zeitschrift flit Mathemat~sche Log~k und Grundlagen der Mathematzk, 10:105-114, 1964.
|
| |
PEP65
|
M. Pour-E1 and H. Putnam. Recursively enunumerable classes and their applicatmn to recursive sequences of formal theories. Arch. f. Math. Log. Grund., 8:104-121, 1965.
|
| |
Pin79
|
S. Pinker. Formal models of language learning. Cognition, 7:217-283, 1979.
|
| |
RC94
|
|
| |
Rog58
|
H. Rogers. GSdel numberings of partial recursive functions. Journal of Symbolzc Logic, 23:331- 341, 1958.
|
| |
Rog67
|
|
| |
Roy87
|
|
| |
Sha71
|
N. Shapiro. Review of "Limiti ng recursion" by E.M. Gold and "Trial and error predicates and the solution to a problem of Mostowski" by l.i. Putnam. Journal of Symbolic Logic, 36:342, 1971.
|
| |
WC80
|
K. Wexler and P. Culicover. Formal Principles of Language Acquzsitwn. MIT Press, Cambridge, Mass, 1980.
|
| |
Wex82
|
K. Wexler. On extensional learnability. Cognition, 11:89-95, 1982.
|
| |
Wex93
|
K. Wexler. The subset principle is an intensional principle. In E. Reuland and W. Abraham, editors, Knowledge and Language, volume I, pages 217-239. Kluwer, 1993.
|
| |
Wie90
|
|
| |
ZL95
|
|
|