A sequential algorithm for training text classifiers

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A sequential algorithm for training text classifiers: corrigendum and additional data

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ACM SIGIR Forum archive
Volume 29 , Issue 2 (Fall 1995) table of contents

Pages: 13 - 19

Year of Publication: 1995

ISSN:0163-5840

Author

David D. Lewis

AT&T Bell Laboratories, Murray Hill, NJ

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 4, Downloads (12 Months): 33, Citation Count: 9

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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	David D. Lewis , William A. Gale, A sequential algorithm for training text classifiers, Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval, p.3-12, July 03-06, 1994, Dublin, Ireland
	2	[2] Mark Plutowski and Halbert White. Selecting concise training sets from clean data. IEEE Transactions on Neural Networks, 4(2):305-318, March 1993.
	3	[3] Gerard Salton and Chris Buckley. Improving retrieval performance by relevance feedback. Journal of the American Society for Information Science, 41(4):288-297, 1990.

CITED BY 9

	Paul N. Bennett , Susan T. Dumais , Eric Horvitz, Probabilistic combination of text classifiers using reliability indicators: models and results, Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, August 11-15, 2002, Tampere, Finland
	David D. Lewis , Robert E. Schapire , James P. Callan , Ron Papka, Training algorithms for linear text classifiers, Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval, p.298-306, August 18-22, 1996, Zurich, Switzerland
	Fabrizio Sebastiani, Machine learning in automated text categorization, ACM Computing Surveys (CSUR), v.34 n.1, p.1-47, March 2002
	Paul N. Bennett, Using asymmetric distributions to improve text classifier probability estimates, Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, July 28-August 01, 2003, Toronto, Canada
	Fernando Ruiz-Rico , Jose Luis Vicedo , María-Consuelo Rubio-Sánchez, NEWPAR: an automatic feature selection and weighting schema for category ranking, Proceedings of the 2006 ACM symposium on Document engineering, October 10-13, 2006, Amsterdam, The Netherlands
	Chen-Ming Hung , Lee-Feng Chien, Web-based text classification in the absence of manually labeled training documents, Journal of the American Society for Information Science and Technology, v.58 n.1, p.88-96, January 2007
	Kamal Nigam , Andrew Kachites McCallum , Sebastian Thrun , Tom Mitchell, Text Classification from Labeled and Unlabeled Documents using EM, Machine Learning, v.39 n.2-3, p.103-134, May-June 2000
	Paul N. Bennett , Susan T. Dumais , Eric Horvitz, The Combination of Text Classifiers Using Reliability Indicators, Information Retrieval, v.8 n.1, p.67-100, January 2005
	Alireza Farhangfar , Russell Greiner , Csaba Szepesvári, Learning to segment from a few well-selected training images, Proceedings of the 26th Annual International Conference on Machine Learning, p.305-312, June 14-18, 2009, Montreal, Quebec, Canada