For non-linear problem, the forecasting technique of pre-classification and later regression was proposed, based on the classification approach of Support Vector Machine (SVM).

针对非线性问题，提出了基于支持向量机分类基础的先分类、再回归的预测方法。

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But this kind of learning can be powerful because it assumes no pre-discovered classification of examples.

不过这一类学习可能会非常强大，因为它假定没有事先分类的样本。

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Prior to using Classification Workbench, you'll collect pre-categorized sample data (for example, documents) representative of the data you expect to classify using ICM.

在使用Classification Workbench之前，要收集预先分类的样本数据(例如文档)，这些数据应该反映将用ICM进行分类的数据的典型情况。

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