Reading process is a cognitive process, in which readers relate texts information to their prior knowledge as meaning are generated.
阅读过程是读者把印刷在书本上的文字所代表的知识与读者的先备知识联系起来的过程。
参考来源 - 先备知识·2,447,543篇论文数据，部分数据来源于NoteExpress
我们如何将这一类的先备知识加到分群演算法里？
How can we incorporate such prior knowledge into a clustering algorithm?
这篇入门原则上是给会写基本程序的人看的，也是给我自己一个备忘 ， 不用太多数学底子，也不用对 SVM 有任何先备知识。
This tutorial is basically for people who already know how to program. It's also a memo to myself. Neither too much mathmatics nor prior SVM knowledge is required.
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