Improved decision tree method for mid - long term load forecasting of power system 电力系统中长期负荷预测的改进决策树算法
Improving performance of decision trees with multi - edit - nearest - neighbor algorithm 采用重复剪辑近邻法提高决策树算法的性能
Decision trees algorithm 决策树算法
The application and analyze about the algorithm of minimum spanning tree in multi - join 最小生成树算法在多元连接中的应用及算法分析
This viewer displays mining models that are built with the microsoft decision trees algorithm 该查看器显示使用microsoft决策树算法生成的挖掘模型。
Overall introduction the principle , code and application in other respects of octrees algorithms , ; 3 全面的介绍了八叉树算法的原理,编码及在其它方面的应用; 3
At the same time , we adopt decision tree algorithms to search the most similar case . the result is good 同时此算法采用决策树算法查找最相似实例,也取得了良好的效果。
Second , this paper proposes a new decision tree algorithm , af algorithm , which is based on association function 第二,提出了一种新的基于关联度函数的决策树算法? ? af算法。
Decision tree arithmetic can easily create an if - then expression . its accuracy can be estimated by k - fold cross - validation 决策树算法的最大优点是能够很容易地产生出if - then表达式。
The microsoft decision trees algorithm creates models that can be used to predict whether someone will purchase a bicycle Microsoft决策树算法创建的模型可用于预测某人是否将购买自行车。