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4 年
随机森林(random forest)
随机森林是深度学习诞生之前,最常用于作为分类、回归的模型。这里将其拆分成决策树、Bagging集成算法、随机森林三部分介绍。 以分类问题为例,在基于概率的机器学习算法中,分类可以分为推断(inference)和决策(decision)两步。推断是求关于目标变量的后验 ...
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