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在 统计学 中， 自助法 （bootstrap method，bootstrapping，或 自助抽樣法 、 拔靴法）是一种从给定训练集中有放回的均匀抽样，也就是说，每当选中一个样本，它等可能地被再次选中并被. 一、bootstrap sampling是什么 bootstrap sampling是一种常用的统计学方法，也是机器学习领域里一个通用的方法。 bootstrap sampling（简称bs）通过对原始数据进行有放回地随机抽.

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Bootstrapping is a type of re sampling where large numbers of smaller samples of the same size are repeatedly drawn, with replacement, from a single original sample.

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