adaboost-algorithm

  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, the core idea is the same training set for different classifiers (weak classifiers), then these weak classifiers together to form a stronger final classifier (strong classifier).)