Classification algorithms | Ensemble learning

BrownBoost

BrownBoost is a boosting algorithm that may be robust to noisy datasets. BrownBoost is an adaptive version of the algorithm. As is true for all boosting algorithms, BrownBoost is used in conjunction with other machine learning methods. BrownBoost was introduced by Yoav Freund in 2001. (Wikipedia).

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The BuShou of HanZi :田

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The BuShou of HanZi :耳

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The BuShou of HanZi :禾

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The BuShou of HanZi :宀

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The BuShou of HanZi :囗

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The BuShou of HanZi : 車

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The BuShou of HanZi :女

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The BuShou of HanZi :舌

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The BuShou of HanZi :片

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Thick Brown River

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Related pages

LogitBoost | Alternating decision tree | Boosting (machine learning) | AdaBoost | Newton's method | Generalization error