Learning specialist decision lists

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Learning specialist decision lists

Full text

Pdf (1.16 MB)

Source

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

Santa Cruz, California, United States

Pages: 215 - 225

Year of Publication: 1999

ISBN:1-58113-167-4

Author

Atsuyoshi Nakamura

Theory NEC Laboratory, Real World Computing Partnership(RWCP), c/o C & C Media Research Laboratories, NEC Corporation, 4-1-1 Miyazaki Miyamae-ku, Kawasaki 216-8555, Japan

Sponsors

SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence
Univ. of California, : University of California at Santa Cruz

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 2, Downloads (12 Months): 11, Citation Count: 0

Additional Information:

references index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/307400.307442 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.

	B95	A. Blum. Empirical support for winnow and weighted-majority based algorithms: results on a calendar scheduling domain. In Proceedings of the 12th International Conference on Machine Learning, 1995, pp.64-72.
	CS96	William W. Cohen , Yoram Singer, Context-sensitive learning methods for text categorization, Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval, p.307-315, August 18-22, 1996, Zurich, Switzerland [doi>10.1145/243199.243278]
	FSSW97	Yoav Freund , Robert E. Schapire , Yoram Singer , Manfred K. Warmuth, Using and combining predictors that specialize, Proceedings of the twenty-ninth annual ACM symposium on Theory of computing, p.334-343, May 04-06, 1997, El Paso, Texas, United States [doi>10.1145/258533.258616]
	HKW98	D. Haussler, J. Kivinen and M. Warmuth. Sequential Prediction of Individual Sequences Under General Loss Functions. IEEE Transactions on Information Theory Vol. 44, No. 5, 1998, pp.1906-1925.
	HW98	Mark Herbster , Manfred K. Warmuth, Tracking the Best Expert, Machine Learning, v.32 n.2, p.151-178, Aug. 1998 [doi>10.1023/A:1007424614876]
	L88	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]
	LW94	Nick Littlestone , Manfred K. Warmuth, The weighted majority algorithm, Information and Computation, v.108 n.2, p.212-261, Feb. 1, 1994 [doi>10.1006/inco.1994.1009]
	RISBR94	Paul Resnick , Neophytos Iacovou , Mitesh Suchak , Peter Bergstrom , John Riedl, GroupLens: an open architecture for collaborative filtering of netnews, Proceedings of the 1994 ACM conference on Computer supported cooperative work, p.175-186, October 22-26, 1994, Chapel Hill, North Carolina, United States [doi>10.1145/192844.192905]
	S95	Hans-Ulrich Simon, Learning decision lists and trees with equivalence-queries, Proceedings of the Second European Conference on Computational Learning Theory, p.322-336, March 13-15, 1995