对于这两种算法来说，都是利用一般到特殊序的偏序结构来完成整个搜索过程。
The two algorithms for concept learning efficiently complete the whole search through the hypothesis space based on a very useful structure: the general-to-specific partial order.
这种偏序结构可以推广到任何概念学习的问题中，从而对整个概念学习的算法有着重要的指导意义。
This partial order structure can be extended to any concept learning problem, and therefore, it plays an instructive role in all algorithms for concept learning.
通过分析运用调机时区集合上的偏序结构特点，可以知道使用调机问题的实质是偏序集合的全序分解问题。
That can become decomposition partially ordered set into totally ordered subset by analyzing the characteristics of partially ordered relation construction on partially ordered set.
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