adaboost
代码说明:
说明: 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 of AdaBoost is to train different classifiers (weak classifiers) for the same training set, and then combine these weak classifiers to form a stronger final classifier (strong classifier).)
文件列表:
adaboost\adaBoostTrainDs.m, 554 , 2019-12-13
adaboost\adaboost_predict.m, 459 , 2019-12-13
adaboost\buildSimpleStump.m, 1576 , 2019-12-13
adaboost\data.mat, 5624 , 2020-05-28
adaboost\data1.xlsx, 20173 , 2020-05-28
adaboost\TestMain_2Class.m, 1807 , 2020-05-28
adaboost\Untitled.m, 22 , 2020-05-28
adaboost, 0 , 2020-05-28
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