实际问题中经常涉及连续的数值属性，然而许多归纳学习算法却是针对离散属性空间的。

The continuous attribute problems are often encountered in the real world, but many outstanding inductive learning algorithms are mainly based on a discrete feature space.

youdao

该文根据自相关函数与谱密度函数之间的对应关系，提出了一种新的基于自相关函数的决策树归纳学习算法。

According to the relationship between auto correlation function and its spectral density, a new type of decision tree method based on signal analysis theory is proposed in this paper.

youdao

到目前为止，众多有关机器学习的文章中一个重要的主题是利用算法对训练数据进行总结归纳，而不是简单的记忆。

So far, a major theme in these machine learning articles has been having algorithms generalize from the training data rather than simply memorizing it.

youdao