Brown Boost
BrownBoost is a boosting algorithm that may be robust to noisy datasets. BrownBoost is an adaptive version of the boost by majority 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.
Read more about Brown Boost: Motivation, Algorithm Description, BrownBoost Learning Algorithm Definition, Empirical Results
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