贝叶斯方法是那些明确地在分类和回归问题中应用贝叶斯定理的算法。
Bayesian methods are those that are explicitly apply Bayes' Theorem for problems such as classification and regression.
对无穷小提出了新的分类法，并对等价无穷小替换定理的条件进行了简化，从而使得该定理应用更加方便。
In this paper, infinitesimal classification is given and theorem condition of equivalent infinitesimal replacement is simplified, thus, this theorem is easy to operate.
通过分析贝叶斯定理的变形公式和属性相关性度量，提出一种基于强属性限定的贝叶斯分类模型SANBC。
On the basis of analyzing a variant of Bayes theorem and the evaluation of condition attribute with correlation, SANBC is proposed.
文章通过研究局部半完全有向图的结构定理，分类讨论了它中的王。
There fore we study the kings of locally semicomplete digraph by its characterization.
文章通过研究局部半完全有向图的结构定理，分类讨论了它中的王。
There fore we study the kings of locally semicomplete digraph by its characterization.
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