You can now use the microsoft decision trees algorithm with a continuous attribute , such as time , as a predictable column 现在，您可以使用将连续属性（如时间）作为可预测列的microsoft决策树算法。
And then , we apply multiwavelet filter banks in image compression , using two method ( new vector quantization algorithm and improvement ezw ) 然后，对应于单小波零树算法，提出一种新方法，将多小波应用于零树压缩。
At the same time , a fast heuristic algorithm of mimimum cost tree with delay constraint are presented , its time complexity is ( pn2 ) 同时还提出了一种满足延迟约束的多播最小生成树算法（时间复杂度为( pn2 ) ） 。
The dmdecisiontreeviewer control can be used to display the content of models created using the microsoft decision trees algorithm 可以使用dmdecisiontreeviewer控件来显示使用microsoft决策树算法所创建的模型的内容。
In the first part , two decision tree classification algorithms , sliq and sprint , is studied , because they are the most useful at present 研究了sliq算法和sprint算法。因为这两个算法可以说是目前决策树算法中最有效的。
Section 5 discusses classification and decision tree , and then gives the implementation of the classification rules mining in edwp - miner 第五章介绍了分类规则的研究与决策树算法，详细阐述了edwp - miner中分类规则挖掘的实现。
Most of the spanning tree algorithm ( sta ) failures occur due to the excessive loss of bpdus causing the blocked ports to transition to forwarding mode 大多的生成树算法( sta )失败发生由于过多的丢失bpdu导致阻塞端口转换为转发模式。
Third , researches the r - tree algorithm , by using of it , can quickly process spatial data construction and show the location on the pda fastly 再次,研究了r树算法,利用r树算法进行快速的空间数据建构及如何在pda中快速显示所在空间位置。
The microsoft decision trees algorithm is a classification and regression algorithm for use in predictive modeling of both discrete and continuous attributes Microsoft决策树算法是一种分类和回归算法，用于离散属性和连续属性的预测性建模。
