核函数方法关心的是如何把输入数据映射到一个高维度的矢量空间，在这个空间中，某些分类或者回归问题可以较容易地解决。

Kernel Methods are concerned with mapping input data into a higher dimensional vector space where some classification or regression problems are easier to model.

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核函数方法关心的是怎样把输入数据映射到一个高维度的矢量空间，在这个空间中，某些分类或者回归问题可以较容易地解决。

Kernel Methods are concerned with mapping input data into a higher dimensional vector space where some classification or regression problems are easier to model.

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在第二章中，我们讨论紧致度量空间上连续自映射的可链点集的性质，特别是链回归点的可链点集的性质。

In Chapter Two, we discuss properties of the set of chainable points of a continuous self-map fon an impact metric space, especially those of chain recurrent points.

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