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Decision tree learning

  • 决策树学习(决策树是统计学、数据挖掘和机器学习中常用的预测模型,用于预测样本的类标。它也被称为分类树或回归树,叶子节点给出类标,内部节点代表属性)

双语例句

  • This sort of learning could take place with neural networks or support vector machines, but another approach is to use decision trees.

    这种学习可以使用神经网络或者支持向量不过决策可以实现类似的功能。

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  • Supervised learning is the most common technique for training neural networks and decision trees.

    监督学习训练神经网络决策常见技术

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  • This type of learning could probably be carried out with neural networks, though it is hard to imagine that the problem is simple enough for decision trees.

    这种类型学习通常交给神经网络来完成,虽然很难想象,但决策树来完成类问题简单。

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