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A stochastic approximation view of boosting

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  • Tsao, C. Andy
  • Chang, Yuan-chin Ivan

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  • Tsao, C. Andy & Chang, Yuan-chin Ivan, 2007. "A stochastic approximation view of boosting," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 325-334, September.
    • Handle: RePEc:eee:csdana:v:52:y:2007:i:1:p:325-334
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    References listed on IDEAS

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    1. Merler, Stefano & Caprile, Bruno & Furlanello, Cesare, 2007. "Parallelizing AdaBoost by weights dynamics," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2487-2498, February.
    2. Gey, Servane & Poggi, Jean-Michel, 2006. "Boosting and instability for regression trees," Computational Statistics & Data Analysis, Elsevier, vol. 50(2), pages 533-550, January.
    3. Buhlmann P. & Yu B., 2003. "Boosting With the L2 Loss: Regression and Classification," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 324-339, January.
    4. Friedman, Jerome H., 2002. "Stochastic gradient boosting," Computational Statistics & Data Analysis, Elsevier, vol. 38(4), pages 367-378, February.
    5. Leitenstorfer, Florian & Tutz, Gerhard, 2007. "Knot selection by boosting techniques," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4605-4621, May.
    6. Kim, Yuwon & Koo, Ja-Yong, 2005. "Inverse boosting for monotone regression functions," Computational Statistics & Data Analysis, Elsevier, vol. 49(3), pages 757-770, June.
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    Cited by:

    1. Rokach, Lior, 2009. "Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4046-4072, October.
    2. Ivan Chang, Yuan-Chin & Huang, Yufen & Huang, Yu-Pai, 2010. "Early stopping in L2Boosting," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2203-2213, October.
    3. Chun-Xia Zhang & Guan-Wei Wang & Jiang-She Zhang, 2012. "An empirical bias--variance analysis of DECORATE ensemble method at different training sample sizes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(4), pages 829-850, September.
    4. Zhang, Chun-Xia & Zhang, Jiang-She & Zhang, Gai-Ying, 2009. "Using Boosting to prune Double-Bagging ensembles," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1218-1231, February.

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