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Robert E. Schapire, Yoav Freund, Peter Bartlett, and Wee Sun Lee. Boosting the margin: a new explanation for the effectiveness of voting methods. In Proc. 14th International Conference on Machine Learning, pages 322--330. Morgan Kaufmann, 1997.

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Managing Domain Knowledge and Multiple Models with Boosting - Peng Zang Georgia   (Correct)

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Robert E. Schapire, Yoav Freund, Peter Bartlett, and Wee Sun Lee. Boosting the margin: a new explanation for the effectiveness of voting methods. In Proc. 14th International Conference on Machine Learning, pages 322--330. Morgan Kaufmann, 1997.


A Simple Additive Re-weighting Strategy for Improving Margins - Fabio Aiolli And   (Correct)

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R.E Schapire, Y. Freund, P. Bartlett, and W.S. Lee. Boosting the margin: A new explanation for the effectiveness of voting methods. An. of Stat., 26(5), 1998.


Heterogenous Committees with Competence Analysis - Norbert Jankowski Krzysztof   (Correct)

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R. E. Schapire, Y. Freund, P. Bartlett, and W. S. Lee. Boosting the margin: A new explanation for the effectiveness of voting methods. The Annals of Statistics, 26(5):1651--1686, 1998.


Obtaining Calibrated Probabilities from Boosting - Niculescu-Mizil, Caruana (2005)   (Correct)

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R. Schapire, Y. Freund, P. Bartlett, and W. Lee. Boosting the margin: A new explanation for the effectiveness of voting methods. Annals of Statistics, 26(5):1651--1686, 1998.


Using a Hybrid Adaboost Algorithm to Integrate.. - Sun, Robinson.. (2006)   (Correct)

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R. E. Schapire, Y. Freund, P. L. Bartlett, and W. S. Lee, "Boosting the margin: A new explanation for the effectiveness of voting methods". the Annals of Statistics, 26(5):1651-1686, October 1998.


A Re-Weighting Strategy For Improving Margins - Aiolli, Sperduti (2002)   (1 citation)  (Correct)

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R.E. Schapire, Y. Freund, P. Bartlett, W.S. Lee, Boosting the margin: A new explanation for the effectiveness of voting methods, Ann. Statist. 26 (5) (1998).


Aggregation Ordering in Bagging - Martínez-Muñoz, Suárez (2004)   (Correct)

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R. Schapire, Y. Freund, P. Bartlett and W. Lee, Boosting the margin: A new explanation for the effectiveness of voting methods, The Annals of Statistics, 12(5), 1998, 1651--1686


A Simple Additive Re-weighting Strategy for Improving Margins - Aiolli, Sperduti (2001)   (Correct)

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R.E Schapire, Y. Freund, P. Bartlett, and W.S. Lee. Boosting the margin: A new explanation for the effectiveness of voting methods. An. of Stat., 26(5), 1998.


Boosting on Manifolds: Adaptive Regularization of Base Classifiers - Kegl, Wang   (Correct)

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R. E. Schapire, Y. Freund, P. Bartlett, and W. S. Lee, "Boosting the margin: a new explanation for the effectiveness of voting methods," Annals of Statistics, vol. 26, no. 5, pp. 1651--1686, 1998.


Barrier Boosting - Rätsch, Warmuth, Mika, Onoda, Müller (2000)   (Correct)

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R.E. Schapire, Y. Freund, P. Bartlett, and W.S. Lee. Boosting the margin: a new explanation for the effectiveness of voting methods. In Proc. 14th International Conference on Machine Learning, pages 322--330. Morgan Kaufmann, 1997.


Stream-Based Active Learning for Data Selection in a Real - World Applicati On   (Correct)

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Robert E. Schapire, Yoav Freund, Peter Bartlett, and Wee Sun Lee, `Boosting the margin: a new explanation for the effectiveness of voting methods', in Proc. 14th International Conference on Machine Learning, pp. 322--330. Morgan Kaufmann, (1997).


Marginal Boosting - Gunnar Atsch Manfred   (Correct)

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R.E. Schapire, Y. Freund, P. Bartlett, and W. S. Lee. Boosting the margin: A new explanation for the effectiveness of voting methods. The Annals of Statistics, 26(5):1651--1686, October 1998.


Learning to Boost GMM Based Speaker Verification - Stan Li Dong   (Correct)

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R. Schapire, Y. Freund, P. Bartlett, and W. S. Lee. "Boosting the margin: A new explanation for the effectiveness of voting methods". The Annals of Statistics, 26(5):1651-- 1686, October 1998.


ν-Arc: Ensemble Learning in the Presence of Outliers - Rätsch, Schölkopf..   (Correct)

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R. Schapire, Y. Freund, P. L. Bartlett, and W. Sun Lee. Boosting the margin: A new explanation for the effectiveness of voting methods. Annals of Statistics, 1998. (Earlier appeared in: D. H. Fisher, Jr. (ed.), Proc. ICML97, M. Kaufmann).


Expected Error Analysis for Model Selection - Scheffer, Joachims (1999)   (8 citations)  (Correct)

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R. Schapire, Y. Freund, P. Bartlett, and W. Lee. Boosting the margin: A new explanation for the effectiveness of voting methods. In ICML-97, pages 322-- 330, 1997.


Stream-Based Learning through Data Selection In Road - Saunier (2004)   (Correct)

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Schapire, R.E., Freund, Y., Bartlett, P., Lee, W.S.: Boosting the margin: a new explanation for the effectiveness of voting methods. In: Proc. 14th International Conference on Machine Learning, Morgan Kaufmann (1997) 322--330


Soft Margins for AdaBoost - Rätsch, Onoda, Müller (1998)   (Correct)

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R.E. Schapire, Y. Freund, P. Bartlett, and W.S. Lee. Boosting the margin: a new explanation for the effectiveness of voting methods. In Proc. 14th International Conference on Machine Learning, pages 322--330. Morgan Kaufmann, 1997.


FloatBoost Learning and Statistical Face Detection - Li, Zhang (2004)   (3 citations)  (Correct)

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R. Schapire, Y. Freund, P. Bartlett, and W.S. Lee, "Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods," The Annals of Statistics, vol. 26, no. 5, pp. 1651-1686, Oct. 1998.


FloatBoost Learning for Classification - Li, Zhang, Shum, Zhang (2002)   (4 citations)  (Correct)

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R. Schapire, Y. Freund, P. Bartlett, and W. S. Lee. "Boosting the margin: A new explanation for the effectiveness of voting methods". The Annals of Statistics, 26(5):1651--1686, October 1998.


A Theoretical Analysis of the Limits of Majority Voting Errors .. - Ruta, Gabrys (2000)   (1 citation)  (Correct)

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Schapire RE, Freud Y, Bartlett P, Lee WS. Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods. The Annals of Statistics 1998; 26(5): 1651-1686.


Barrier Boosting - Rätsch, Warmuth, Mika, Onoda, Lemm..   (Correct)

No context found.

R.E. Schapire, Y. Freund, P. Bartlett, and W.S. Lee. Boosting the margin: a new explanation for the effectiveness of voting methods. In Proc. 14th International Conference on Machine Learning, pages 322--330. Morgan Kaufmann, 1997.


Fast and Light Boosting for Adaptive Mining of Data Streams - Chu, Zaniolo (2004)   (Correct)

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R. Schapire, Y. Freund, and P. Bartlett. Boosting the margin: A new explanation for the effectiveness of voting methods. In ICML, 1997.


Margin Analysis of the LVQ Algorithm - Koby Crammer Kobics (2002)   (12 citations)  (Correct)

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R. E. Schapire, Y. Freund, P. Bartlett, and W. S. Lee. Boosting the margin : A new explanation for the effectiveness of voting methods. Annals of Statistics, 1998.


FloatBoost Learning and Statistical Face Detection - Li, Zhang (2004)   (3 citations)  (Correct)

No context found.

R. Schapire, Y. Freund, P. Bartlett, and W.S. Lee, "Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods," The Annals of Statistics, vol. 26, no. 5, pp. 1651-1686, Oct. 1998.


Boosting in the limit: Maximizing the margin of learned ensembles - Adam Grove And (1998)   (75 citations)  (Correct)

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R. Schapire, Y. Freund, P. Bartlett, and W. Lee. Boosting the margin: a new explanation for the effectiveness of voting methods. In ICML-97, pages 322--330, 1997.

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