引入剪枝策略，实现了安全信息最大化发布。
The pruning methods were adopted to publish the secure information as much as possible.
总结了决策树的剪枝方法，并给出了动态模糊决策树的剪枝策略。
Then, with the summing-up of pruning methods of decision tree, we make certain the pruning strategy that adapts to dynamic fuzzy decision tree.
然后应用多权重剪枝策略（MW-OBS）进一步简化、确定网络结构。
The multi-weights-optimal brain surgeon (MW-OBS) algorithm, was included to further prune unimportant weights or nodes.
在该算法中，还使用了一定的剪枝策略，使得算法的时间复杂度进一步降低。
Besides, in this algorithm, we have used some strategy of pruning, which make the algorithm's time complexity more lower.
实验结果表明，使用相对最大剪枝策略产生的发音字典可以显著提高系统识别率。
Experimental results on continuous speech recognition show significant improvement can be obtained using resulting pronunciation dictionary.
算法采用了深度优先挖掘策略，并将基于前缀序列格的深度优先遍历与两种高效的剪枝策略相结合。
The search strategy of our algorithm integrates a depth-first traversal of the prefix sequence lattice with two effective pruning mechanisms.
算法采用的预测剪枝策略减少了挖掘的次数，采用的求取公共交集的方式保证了挖掘结果的完整性。
This algorithm reduced the number of mining through early prediction before mining. The application of a method to get the public intersection sets could obtain a complete result.
针对运动图上的路径搜索，提出了基于路径曲线所夹面积的目标函数并改进了分段搜索算法和剪枝策略。
Concerning path search in the motion graph, this paper used the area between two curves as the target function and improved the strategy of incremental search and the strategy of branch and bound.
这避免了后剪枝策略所需的高昂代价，减少了扫描磁盘数据的次数和大量的CPU时间，进一步提高了算法的效率。
This avoid high cost by using post-pruning measure which require many times for scanning disk data and amount of CPU time. So we gain a high efficiency.
在时间序列的模式表示的基础上挖掘其频繁子模式，可以大大提高挖掘的效率和准确性，达到事半功倍的效果。在该算法中，还使用了一定的剪枝策略，使得算法的时间复杂度进一步降低。
Mining Time Series Frequent Sub-pattern based on Pattern Representation can enormously increase the efficiency and veracity of mining, and get twice the result with half the effort.
在时间序列的模式表示的基础上挖掘其频繁子模式，可以大大提高挖掘的效率和准确性，达到事半功倍的效果。在该算法中，还使用了一定的剪枝策略，使得算法的时间复杂度进一步降低。
Mining Time Series Frequent Sub-pattern based on Pattern Representation can enormously increase the efficiency and veracity of mining, and get twice the result with half the effort.
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