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Learnability of a subclass of extended pattern languages
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Source Annual Workshop on Computational Learning Theory archive
Proceedings of the eleventh annual conference on Computational learning theory table of contents
Madison, Wisconsin, United States
Pages: 64 - 71  
Year of Publication: 1998
ISBN:1-58113-057-0
Author
Andrew R. Mitchell  School of Computer Science and Engineering, University of New South Wales, Sydney 2052, Australia
Sponsors
University of Wisconsin : University of Wisconsin
UC @ Santa Cruz : UC @ Santa Cruz
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 21,   Citation Count: 7
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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.

 
AJS97
 
AMS+92
S. Arikawa, S. Miyano, A. Shinohara, T. Shinohara, and A. Yamamoto. Algorithmic learning theory with elementary formal systems. IE- ICE ?Tans. Inf. and Syst., E75-D No. 4:405- 414, 1992.
 
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 inf'erence of formzd languages from positive data.Information and Control, 45:117-135, 1980.
 
ASMS91
 
CL82
 
ERS+97
 
Go167
E.M. Gold. Language identification in the limit. Information and Control, 10:447-474, 1967.
 
JS97
 
JSSY95
 
KP89
 
LW91
 
Mar88
 
Mit97
A. Mitchell. The learnability of nontrivial subsets of the extended pattern languages, July 1997. Honours thesis available from www.cse.unsw.edu.au/-andrewm/thesi s.ps.
 
Nix83
R.P. Nix. Editing by example. Technical Report Research Report 280, Department of Computer Science, Yale University, 1983.
 
OSW86
 
Sch90
 
Shi82a
 
Shi82b
T. Shinohara. Polynomial time inference of pattern languages and its applications. In Proc. of the 7th IBM Symposium on Mathematical Foundations of Computer Science, pages 191-209, 1982.
 
Shi83
T. Stxinohara. Inferring unions of two pattern languages. Bulletin of lnformatics and Cybernetics, 20:83-88., 1983.
 
Wri89
 
WZ94
R. Wiehagen and T. Zeugmann. Ignoring data may be the only way to learn efficiently. Journal of Experimental and Theoretical Artificial Intelligence, 6:131-144, 1994.