Conflict resolution in inductive learning from examples

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Conflict resolution in inductive learning from examples

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Symposium on Applied Computing archive
Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing: technological challenges of the 1990's table of contents

Kansas City, Missouri, United States

Pages: 598 - 602

Year of Publication: 1992

ISBN:0-89791-502-X

Authors

Ray R. Ashemi
Mehdi Razzaghi
Frederick R. Jelovsek
John R. Talburt

Sponsor

SIGAPP: ACM Special Interest Group on Applied Computing

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 4, Downloads (12 Months): 11, Citation Count: 3

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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.

	1	J.R. Quinlan, "Discovering Rules by Induction From Large Collections of Examples", Expert Systems in the Micro-Electrtonic Age, Edinburg University Press, Edinburg, 1979, pp168-201,.
	2	Pawlak, Z., "Rough sets", International Journal of Information and Computer Science 11-2, 1982, pp. 341-356.
	3	Zdzislaw Pawlak, Rough classification, International Journal of Man-Machine Studies, v.20 n.5, p.469-483, May 1984 [doi>10.1016/S0020-7373(84)80022-X]
	4	R. Hashemi, F. R. Jelovsek , "Inductive Learning From Examples: A Rough Sets Approach", Proceedings of the 1991 Symposium on Applied Computing, April 1991, pp 346-349.
	5	Robert R. Hoffman, A survey of methods for eliciting the knowledge of experts, ACM SIGART Bulletin [doi>10.1145/63266.63269]
	6	Keinosuke Fukunaga, Introduction to statistical pattern recognition (2nd ed.), Academic Press Professional, Inc., San Diego, CA, 1990
	7	Berger, I.O. Statistical Decision Theory and Bayesian Analysis, (2nd Ed)., Berlin, Springer- Verlas (19$5).

CITED BY 3

	Ray R. Hashemi , Frederick R. Jelovsek, A look-ahead learning algorithm for inductive learning through examples, Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing: technological challenges of the 1990's, p.603-607, April 1992, Kansas City, Missouri, United States
	Ray R. Hashemi , Fred Choobineh , John Talburt , William Slikker , Merle G. Paule, A diagnostic system based on a multi-decision approximate rules model, Proceedings of the 1997 ACM symposium on Applied computing, p.20-24, April 1997, San Jose, California, United States
	Ray R. Hashemi , Aslam H. Chowdhury , Nancy L. Stafford , John R. Talburt, Prediction capability of neural networks trained by Monte-Carlo paradigm, Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice, p.9-13, February 14-16, 1993, Indianapolis, Indiana, United States