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The application of AdaBoost for distributed, scalable and on-line learning

Published:01 August 1999Publication History
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References

  1. 1.W. Cohen. Fast Effective Rule Induction. In Proc. Twelfthh Intew~atioanl Conference on Machine Learning, pp. 115-123, Morgan Kaufman.Google ScholarGoogle Scholar
  2. 2.Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119-139,1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. 3.D, Margineantu and T. Dietterich. Pruning Adaptive Boosting. In Proc of ICML-97. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. 4.R. Schapire and Y. Singer. Improved boosting algorithms using confidence-rated predictions, in Proceedings of the Eleventh Annual Conference on Computational Learning Theorey, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. The application of AdaBoost for distributed, scalable and on-line learning

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          cover image ACM Conferences
          KDD '99: Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
          August 1999
          439 pages
          ISBN:1581131437
          DOI:10.1145/312129

          Copyright © 1999 ACM

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          Publication History

          • Published: 1 August 1999

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