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Online Coordinate Boosting
[article]
2008
arXiv
pre-print
We present a new online boosting algorithm for adapting the weights of a boosted classifier, which yields a closer approximation to Freund and Schapire's AdaBoost algorithm than previous online boosting algorithms. We also contribute a new way of deriving the online algorithm that ties together previous online boosting work. We assume that the weak hypotheses were selected beforehand, and only their weights are updated during online boosting. The update rule is derived by minimizing AdaBoost's
arXiv:0810.4553v1
fatcat:lys55fy6tjdmndbd72tc2zfbee