1) stochastic decision tree analysis
随机决策树分析
2) Stochastic decision analysis
随机决策分析
3) random decision tree
随机决策树
1.
Research on weighted multi-random decision tree and its application to intrusion detection;
基于加权多随机决策树的入侵检测分类算法
2.
Intrusion detection model based on weighted multi-random decision tree;
基于加权多随机决策树的入侵检测模型
3.
This paper introduces the classification model of random decision tree and how to heuristic selected the depth and the number, the experiment shows that the algorithm is effectiveness and efficiency.
该文介绍了随机决策树分类模型及如何启发式选择随机决策树的深度及棵树,通过实验证明了该算法的有效性和高效性。
4) decision tree analysis
决策树分析
1.
Fault tree analysis was applied to identify the hazard events that might lead to turbidity violation in the waterworks,and decision tree analysis was also applied to determine the critical control points(CCPs) for turbidity c.
应用故障树分析技术识别了水厂中可能导致浊度超标的潜在危害,应用决策树分析技术确定了水厂浊度控制的关键控制点,建立了关键控制点和质量控制点的关键限值、监控系统以及纠偏措施,并分析了对验证程序以及文件和记录保存系统的要求。
5) Semi-Random DecisionTrees
半随机决策树
6) Discussion on Random Decision Tree
浅谈随机决策树
补充资料:随机过程分析(见统计分析)
随机过程分析(见统计分析)
suj ij guocheng随机过程分析fenXi 见统计分析。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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