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ensemble learning
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通过结合多个学习器来解决问题的一种机器学习范式。其常见形式是利用一个基学习算法从训练集产生多个基学习器,然后通过投票等机制将基学习器进行结合。代表性方法包括Boosting、Bagging等。又称多分类器系统、基于委员会的学习等。
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ensemble learning
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