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Boosting and Rocchio applied to text filtering
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Melbourne, Australia
Pages: 215 - 223  
Year of Publication: 1998
ISBN:1-58113-015-5
Authors
Robert E. Schapire  AT&T Labs - Research 180 Park Avenue, Florham Park, NJ
Yoram Singer  AT&T Labs - Research 180 Park Avenue, Florham Park, NJ
Amit Singhal  AT&T Labs - Research 180 Park Avenue, Florham Park, NJ
Sponsors
University of Melbourne : University of Melbourne
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 10,   Downloads (12 Months): 64,   Citation Count: 74
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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.

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Avrim Blum. Empirical support for winnow and weightedmajority based algorithms: results on a calendar scheduling domain. In Machine Learning: Proceedings of the Twel.}th International Conference, pages 64-72. 1995.
 
4
Leo Breiman. Bias, variance, and arcing classifiers. Technical Report 460, Statistics Department, University of California at Berkeley, 1996.
 
5
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Yoav Freund and Robert E. Schapire. Experiments with a new boosting algorithm. In Machine Learning: Proceedings of the Thirteenth hvernational Conference, pages 148-156, 1996.
 
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11
 
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D. K. Harman. Overview of the third Text REtrieval Conference (TREC-3). In Proceedings of the Third Text REtrieval Conference (TREC-3), pages 1-19. NIST Special Publication 500-225, April 1995.
 
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David Hull. The TREC-6 filtering track: Description and analysis. In Proceedings of the Sixth Text REtrieval Conference (TREC-6), 1998 (to appear).
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David Lewis. Personal Communication.
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David Lewis. The TERC-5 filtering track. In Proceedings o/'the Fifth Text REtrieval Conference (TREC-5), pages 75-96. NIST Special Publication 500-238, November 1997.
 
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David Lewis and Mark Ringuette. A comparison of two learning algorithms for text categorization. In Proceedings #'the Third Annual Symposium on Document Analysis and in#)rmation Retrieval, pages 81-93, Las Vegas, NV, April 1994.
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J. R. Quinlan. Bagging, boosting, and C4.5, In Proceedings of the Thirteenth National Conference on Artificial Intelligence, pages 725-730, 1996.
 
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J.J. Rocchio. Document Retrieval Systems-Optimization and Evaluation. PhD thesis, Harvard Computational Laboratory, Cambridge, MA, 1966.
 
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J.J. Rocchio. Relevance feedback in information retrieval. In The SMART Retrieval System#Experiments in Automatic Document Processing, pages 313-323, Englewood Cliffs, N J, 1971. Prentice Hall, inc.
 
29
 
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Gerard Salton and Chris Buckley. Improving retrieval performance by relevance feedback. Journal of the American Socie#.for ln{ormation Science, 41(4):288-297, 1990.
 
31
32
 
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Amit Singhal. AT&T at TREC-6. In Proceedings of the Sixth Text REtrieval Conference (TREC-6), 1998 (to appear).
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E. M. Voorhees and D. K. Harman. Overview of the sixth Text REtrieval Conference (TREC-6). In E. M. Voorhees and D. K. Harman, editors, Proceedings of the Sixth Text REtrieval Conference ( TREC-6), 1998 (to appear).
 
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Yimin Yang. An evaluation of statistical approaches to text categorization. Technical Report CMU-CS-97-127, School of Computer Science, Carnegie Mellon University, April 1997.
 
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CITED BY  75

Collaborative Colleagues:
Robert E. Schapire: colleagues
Yoram Singer: colleagues
Amit Singhal: colleagues