Asymmetric team learning

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Asymmetric team learning

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Annual Workshop on Computational Learning Theory archive
Proceedings of the tenth annual conference on Computational learning theory table of contents

Nashville, Tennessee, United States

Pages: 90 - 95

Year of Publication: 1997

ISBN:0-89791-891-6

Authors

Kalvis Apsītis	Department of Computer Science, University of Maryland, College Park, MD
Rūsiņš Freivalds	Institute of Mathematics and Computer Science, Raina bulvãris 29, Riga, LV-1459, Latvia
Carl H. Smith	Department of Computer Science, University of Maryland, College Park, MD

Sponsors

AT&T Labs :
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence
Vanderbilt University : Vanderbilt University

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 21, Downloads (12 Months): 26, Citation Count: 2

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references cited by index terms collaborative colleagues

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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.

	AAFS97	A. Ambainis, K. Apsxs, R. Freivalds, and C. Smith. Team learning and matrix games. Available from http : //www.cs.umd.edu/ kalvis/, Submitted to ALT'97.
	FW79	R. V. Freivalds and R. Wiehagen. Inductive inference with additional information. Elektronische Informationsverabeitung und Kybernetik, 15(4):179-184, 1979.
	Gol67	E. M. Gold. Language identification in the limit. Information and Control, 10:447-474, 1967.
	Pit89	L. Pitt, Probabilistic inductive inference, Journal of the ACM (JACM), v.36 n.2, p.383-433, April 1989 [doi>10.1145/62044.62053]
	PS88	Leonard Pitt , Carl H. Smith, Probability and plurality for aggregations of learning machines, Information and Computation, v.77 n.1, p.77-92, April 1988 [doi>10.1016/0890-5401(88)90046-6]
	PZ96	L.A. Pct,rosian and N.A. Zenkevich. Game flsrory. River Edge, Singapore, 1996.
	Sch86	Gisela Schäfer, Some results in the theory of effective program synthesis: learning by defective information, Proceedings of the International Spring School on Mathematical Methods of Specification and Synthesis of Software Systems '85, p.219-225, April 22-26, 1985
	Smi82	Carl H. Smith, The Power of Pluralism for Automatic Program Synthesis, Journal of the ACM (JACM), v.29 n.4, p.1144-1165, Oct. 1982 [doi>10.1145/322344.322356]
	Smi94	Carl H. Smith, Three Decades of Team Learning, Proceedings of the 4th International Workshop on Analogical and Inductive Inference: Algorithmic Learning Theory, p.211-228, October 10-15, 1994
	Soa87	Robert I. Soare, Recursively enumerable sets and degrees, Springer-Verlag New York, Inc., New York, NY, 1987

CITED BY 2

	Andris Ambainis, Probabilistic inductive inference: a survey, Theoretical Computer Science, v.264 n.1, p.155-167, 08/06/2001
	Andris Ambainis , Kalvis Aps&imarc;tis , R&umarc;siņs Ereivalds , Carl H. Smith, Hierarchies of probabilistic and team FIN -learning, Theoretical Computer Science, v.261 n.1, p.91-117, 06/17/2001