1) Pruning Decis
剪枝决策
2) pruning strategy
剪枝策略
1.
This paper presents ESEquivPS extension support equivalency pruning strategy, a new search space pruning strategy for mining maximal frequent itemsets to effectively reduce the search space.
为了有效地削减搜索空间,提出了一种新的最大频繁项集挖掘中的搜索空间剪枝策略。
2.
Designed a pruning strategy to prune the sparse grids in dimension tree periodically.
算法首先对数据空间进行网格划分,采用改进的维度树结构维护和更新数据流的摘要信息,设计了一种周期性剪枝策略,周期性地剪去维度树中的稀疏网格,最后采用深度优先搜索算法在线处理聚类请求。
3.
This paper presents a new algorithm for mining closed frequent itemsets based on the extension support equivalency pruning strategy.
本文提出一种基于ESEquivPS(扩展支持度相等性剪枝策略)的封闭频繁项集挖掘算法ECFIMA。
3) FPE pruning strategy
FPE剪枝策略
1.
The algorithm avoids the drawback that the RAN has no initial hidden node, improves the influence of the RAN novelty on the architecture and parameters, and also achieves a better combination between the complexity and precision applying the FPE pruning strategy.
该算法可避免常用的RAN网络由于没有初始隐层节点而造成的不足,在一定程度上改善新性条件对网络结构和参数的影响,并采用FPE剪枝策略使网络复杂度与拟合度得到较好的结合。
4) decision tree
决策分枝图
5) decision tree pruning
决策树修剪
6) Correlation Pruning Neuron Strategy
相关性剪枝策略
补充资料：剪枝
1.谓修整树木的枝丫。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条