Currently, the leading methods of sampling generally choose the instance or instances that can reduce the version space by half.

当前主流的采样算法往往考虑选取的样例尽可能平分版本空间。

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Then we review multi-class classifiers commonly adopted and propose a multi-class classifier based on analytical center of version space.

同时在分析现有多类分类机器不足的基础上，提出了一种基于可行域解析中心的多类分类器。

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Then we review multi-class classifiers commonly adopted and propose a multi-class classifier based on analytical center of version space.

同时在分析现有多类分类机器不足的基础上，提出了一种基于可行域解析中心的多类分类器。

youdao