一类改进的概率采样模型

摘要

文章针对传统分布估计算法在离散域构建概率模型时可能遇到的问题, 提出一种基于劳斯稳定判据的改进方法, 分析及实验结果表明, 该改进方法能有效的解决此类概率模型采样个体时出现中断的问题.%This paper proposes an improved method based on the problems that traditional distributed estimation algorithms may encounter when constructing a probabilistic model in a discrete domain. The analysis shows that this improved method can effectively solve the problem that probabilistic models are interrupted when being sampled.