From the discussion in the last column, you may recall that the algorithm to construct a DFA expects a parse tree as input.

从上一篇专栏文章所讨论的内容中，您可以回忆起，构造DFA的算法需要一棵解析树作为输入。

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Classification learning is often necessary when the decisions made by the algorithm will be required as input somewhere else.

如果通过算法作出的决定需要输入别的地方，这时分类学习是必要的。

youdao

The algorithm finds duplicated strings in the input data.

该算法寻找输入数据内的重复字符串。

youdao

Obviously the algorithm is likely to depend on the size of the input, so this is not a great idea.

很明显这个算法是与我的,输入的大小相关的，因此这不是个好方法。

麻省理工公开课 - 计算机科学及编程导论课程节选

Well, let's call this same algorithm, on input of four elements.

我们调用相同的算法，其输入是4个元素。

哈佛公开课 - 计算机科学课程节选

It is certainly possible, for example, that a quadratic algorithm could run faster than a linear algorithm. It depends on what the input is, it depends on, you know, what the particular cases are. So it is not the case that, on every input, a linear algorithm is always going to be better than a quadratic algorithm.

一个二次平方级复杂度的算法,当然也是可能跑的比线性复杂度算法快的,这取决于，你知道的，输入以及特定的案例，因此并不是对于每个输入,线性复杂度就一定会,比二次平方级复杂度的算法的表现要好,只是通常来说是这样的。

麻省理工公开课 - 计算机科学及编程导论课程节选

E. you read a simple input csv, split it into training and test set, run a simple algorithm with readily-tuneable or explorable hyperparameters, and a simple output of relevant statistics.

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