ACM Home Page
Please provide us with feedback. Feedback
Aspects of complexity of conservative probabilistic learning
Full text PdfPdf (1.02 MB)
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: 72 - 78  
Year of Publication: 1998
ISBN:1-58113-057-0
Author
Léa Meyer  Institut für Informatik und Gesellschaft, Albert-Ludwigs-Universität Freiburg, 79098 Freiburg, Germany
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
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 12,   Citation Count: 1
Additional Information:

references   cited by   index terms  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/279943.279957
What is a DOI?

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.

 
1
D. Angluin, Inductive In.tErence of formal languages from positive data, Information and Control 45 (1980) 117 - 135.
2
 
3
R. Freiwfids, Finite identification of general recursive functions by probabilistic strategies, in: Proc. of the Conf. on Fundamentals of Computation Theory (Akademie-Verlag, Berlin, 1979) 138 - 145.
 
4
L. Fortnow, M. Gasarch, S. Jain, E. B. Kinber, M. Kummer, S. Kurtz, M. Pleszkoch, T. Slaman, R. Solovay, E Stephan, Extremes in the degrees in inferability, Ann. Pure Appl. Logic 66 (1994) 231 - 276.
 
5
 
6
7
 
8
E.M. Gold, Language identification in the limit, Information and Control 10 (1967) 447 - 474.
9
 
10
 
11
12
 
13
 
14
 
15
P. Odifreddi, Classical Recursion lheory, North Holland, 1989.
 
16
17
 
18
 
19
 
20
21
 
22
. Wiehagen, R. Freivalds, E.B. Kinber, On the Power of Probabilistic Strategies in Inductive Inference, Theoretical Computer Science 2g (1984), 111 - 133.
 
23
R. Wiehagen, R. Freivalds, E.B. Kinber, Probabilistic versus Deterministic Inductive Inference in Nonstandard Numberings, Zeitschr. f. math. Logik und Grundlagen d. Math. 34 (1988) 531 - 539.
 
24