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Adaboost
- Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器(强分类器)。(Adaboost is an iterative algorithm, and its core idea is different for the same training set training classifier (weak classifier), then put these weak classifier together