本文使用机器学习理论，讨论了用文本分类的方法来过滤垃圾邮件。

In this article we discussed filter spam methods using text categorization technologies in machine learning fields.

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针对基于属性向量的非线性配准算法，提出用机器学习的方法寻找脑图像中各个点上的最优几何特征向量。

This paper presents a machine learning method to select best geometric features for deformable brain registration for each brain location.

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用这些特征构成句子向量表示，并用机器学习的方法对其进行训练得到器，从而把自动文摘转换为分类问题。

There are eight features used to form the feature vector for each sentence, and the summarizer is gained by machine learning algorithms, so automatic summarization is changed into classification task.

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