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bagging - Bagging and Boosting Brief Introduction Bagging...

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Bagging and Boosting: Brief Introduction Bagging and Boosting: Brief Introduction Jia Li Department of Statistics The Pennsylvania State University Email: [email protected] http://www.stat.psu.edu/ jiali Jia Li http://www.stat.psu.edu/ jiali
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Bagging and Boosting: Brief Introduction Overview Bagging and boosting are meta-algorithms that pool decisions from multiple classifiers. Much information can be found on Wikipedia. Jia Li http://www.stat.psu.edu/ jiali
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Bagging and Boosting: Brief Introduction Overview on Bagging Invented by Leo Breiman: B ootstrap agg regat ing . L. Breiman, “Bagging predictors,” Machine Learning , 24(2):123-140, 1996. Majority vote from classifiers trained on bootstrap samples of the training data. Jia Li http://www.stat.psu.edu/ jiali
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Bagging and Boosting: Brief Introduction Bagging Generate B bootstrap samples of the training data: random sampling with replacement. Train a classifier or a regression function using each bootstrap sample.
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