支持向量域数据描述(SVDD)是一种单值分类算法，用于将目标样本与其他非目标样本区分开来。

As a type of one-class classification algorithm, Support Vector Data Description (SVDD) was used to distinguish target objects from outlier objects.

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描述了实现过程采用的重要数据结构、针对区分服务支持设计的流程以及网络调度算法。给出了API接口使用规范。

Key data structure, program flows designed for promotion of differentiated classes of service, scheduling algorithms and specification of API have been narrated in addition.

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更改编码算法进行区分旧从新的数据更容易。

Changing the encoding algorithm made distinguishing old from new data easier.

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