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机，不过用决策树也可以实现类似的功能。

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Much of the work on digit recognition has been done in the neural network community, but more recently support vector machines have proven to be even better classifiers.

大部分数字识别的工作可以由神经网络来完成，但最近支持向量机也被证明可以在分类方面做得更好。

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Many algorithms are used to create supervised learners, the most common being neural networks, Support Vector Machines (SVMs), and Naive Bayes classifiers.

创建监管学习程序需要使用许多算法，最常见的包括神经网络、Support Vector Machines (SVMs)和Naive Bayes分类程序。

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