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.[1]
^Yoav Freund. An adaptive version of the boost by majority algorithm. Machine Learning, 43(3):293--318, June 2001.
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...
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lower margin. This leads the boosting algorithm to focus weight on low margin examples. In nonconvex algorithms (e.g. BrownBoost), the margin still dictates...
Zero-attribute rule Boosting (meta-algorithm): Use many weak learners to boost effectiveness AdaBoost: adaptive boostingBrownBoost: a boosting algorithm that...
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