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Searching for "Bagging Predictors." – sorted by Relevance.

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  • Bagging Predictors  
  • by Leo Breiman, Leo Breiman — 1996 — Machine Learning
  • Bagging Predictors By Leo Breiman * Technical Report No. 421 September 1994 * Partially supported…
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  • Out-Of-Bag Estimation  
  • by Leo Breiman Statistics, Leo Breiman
  • …. 94708 leo@(email omitted); Abstract In bagging, predictors are constructed using bootstrap samples…
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  • References  
  • by Aivazian Buchstaber Yenyukov, S. A. Aivazian, V. M. Buchstaber, I. S. Yenyukov, L. D. Meshalkin, North Holland
  • …. Belmont, CA: Wadsworth, 1984. [15] L. Breiman, Bagging Predictors, Machine Learning Journal, vol. 24, no…
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  • Bagging equalizes influence  
  • by Yves Grandvalet — 2004 — Machine Learning
  • … Compiègne, France Abstract. Bagging constructs an estimator by averaging predictors trained on bootstrap…
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  • Bagging Down-Weights Leverage Points  
  • by Yves Grandvalet Heudiasyc, Yves Grandvalet — 2000 — IJCNN, volume IV
  • … that bagged estimates often yield better results than the original predictor, and several explanations have…
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  • Lossless Online Bayesian Bagging  
  • by Herbert K. H. Lee, Merlise A. Clyde — 2002 — Journal of Machine Learning Research
  • … produces predictions G(Xm ) 1 , . . . , G(Xm ) P . M total bootstrap samples are used. The bagged predictor
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  • Bagging in Computer Vision  
  • by Bruce A. Draper, Kyungim Baek — 1998 — CVPR
  • …. The aggregated or \bagged" predictor is then the average of the component predictions on a given sample. The non…
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  • Analyzing Bagging  
  • by Bühlmann, Bin Yu — 2002 — Annals of Statistics
  • …),whereˆθn(x) = hn(L1,...,Ln)(x). (III) The bagged predictor is ˆθn;B(x) = E∗ [ ˆθ ∗ n (x)]. In practice…
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