This paper introduces a common distance algorithm based on vectorial space, and proposes novel distance and classification algorithms which orient the topic on the basis of concept-semanteme space.
本文介绍了基于向量空间的常用距离的算法，并在概念语义空间的基础上，提出一种面向主题的距离和分类的算法。
Minimum Distance algorithm is adopted to supply prior probabilities of each type required in Maximum Likelihood algorithm.
在最大似然法的程序实现中，采用了最小距离法提供先验概率。
The thesis describes some solutions for the slow convergence (count to infinite) problem in Vector-Distance algorithm in TCP/IP and points some shortages of them.
论述了TCP/IP网络中距离向量（V D）算法中的慢收敛问题，以及一些解决方法的不足。
The thesis describes some solutions for the slow convergence (count to infinite) problem in Vector-Distance algorithm in TCP/IP and points some shortages of them.
论述了TCP/IP网络中距离向量（V D）算法中的慢收敛问题，以及一些解决方法的不足。
应用推荐