Learning unions of two rectangles in the plane with equivalence queries

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Learning unions of two rectangles in the plane with equivalence queries

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

Santa Cruz, California, United States

Pages: 243 - 252

Year of Publication: 1993

ISBN:0-89791-611-5

Author

Zhixiang Chen

Sponsors

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): 0, Downloads (12 Months): 8, 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.

	A	Dana Angluin, Queries and Concept Learning, Machine Learning, v.2 n.4, p.319-342, April 1988 [doi>10.1023/A:1022821128753]
	AU	Peter Auer, On-line learning of rectangles in noisy environments, Proceedings of the sixth annual conference on Computational learning theory, p.253-261, July 26-28, 1993, Santa Cruz, California, United States [doi>10.1145/168304.168345]
	CM	Zhixiang Chen , Wolfgang Maass, On-line learning of rectangles, Proceedings of the fifth annual workshop on Computational learning theory, p.16-28, July 27-29, 1992, Pittsburgh, Pennsylvania, United States [doi>10.1145/130385.130387]
	CMa	Zhixiang Chen , Wolfgang Maass, A Solution of the Credit Assignment Problem in the Case of Learning Rectangles (Abstract), Proceedings of the International Workshop on Analogical and Inductive Inference, p.26-34, October 05-09, 1992
	CMb	Zhixiang Chen , Wolfgang Maass, On-Line Learning of Rectangles and Unions of Rectangles, Machine Learning, v.17 n.2-3, p.201-223, Nov./Dec. 1994 [doi>10.1007/BF00993471]
	HC	S. Homer, Z. Chen, "Fur learning of unions of k rectangles in the plane with queries~, to appear.
	RKM	R.L. Rivest, D.J. Kleitman, A.R. Meyer, J.Spencer, K. Winklnan, "coping with errors in binary search procedures', J. Comp. Sy;t. Sci., 1980, pages 396-404.
	L	Nick Littlestone, Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm, Machine Learning, v.2 n.4, p.285-318, April 1988 [doi>10.1023/A:1022869011914]
	MTa	W. Ma~z, G. Tur/n, 'On the complexity of learning from counterex~mples', Proc o/the SOth An. nual Sympoaium on Foundation, o/Comput, er Scierice, 1988, pages 262-267.
	MTb	W. M~ass, G. Tur/n, 'Algorithms ~ud lower bounds for on-line learning of geometric concepts', Report 316 (Oct. 1991), IIG. Report Serles, Technlsche universitaet Graz;, to appear in Machine Learning.
	MTc	Wolfgang Maass , György Turán, Lower Bound Methods and Separation Results for On-Line Learning Models, Machine Learning, v.9 n.2-3, p.107-145, July 1992 [doi>10.1007/BF00992674]
	P	A. Pelc, Searching with known error probability, Theoretical Computer Science, v.63 n.2, p.185-202, Feb. 1989 [doi>10.1016/0304-3975(89)90077-7]
	PV	Leonard Pitt , Leslie G. Valiant, Computational limitations on learning from examples, Journal of the ACM (JACM), v.35 n.4, p.965-984, Oct. 1988 [doi>10.1145/48014.63140]
	SW	J. Spencer, P. Winkler, 'Three thresholds for z liax', DIMACS Tech. Report 91-7~ (Oct. 1991).
	V	L. G. Valiant, A theory of the learnable, Communications of the ACM, v.27 n.11, p.1134-1142, Nov. 1984 [doi>10.1145/1968.1972]

CITED BY 3

	Paul W. Goldberg , Sally A. Goldman , H. David Mathias, Learning unions of boxes with membership and equivalence queries, Proceedings of the seventh annual conference on Computational learning theory, p.198-207, July 12-15, 1994, New Brunswick, New Jersey, United States
	Nader H. Bshouty , Sally A. Goldman , H. David Mathias, Noise-tolerant parallel learning of geometric concepts, Proceedings of the eighth annual conference on Computational learning theory, p.345-352, July 05-08, 1995, Santa Cruz, California, United States
	Michael Frazier , Sally Goldman , Nina Mishra , Leonard Pitt, Learning from a consistently ignorant teacher, Proceedings of the seventh annual conference on Computational learning theory, p.328-339, July 12-15, 1994, New Brunswick, New Jersey, United States