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Home > english-chinese > "decision tree learning" in Chinese

Chinese translation for "decision tree learning"

决策树

Related Translations:
important decision:  重大决策
decision machine:  决策机决策计算机
decision verifiability:  决策可证实性
great decision:  重大决策
carterfone decision:  卡特尔电话决定
decision region:  决策区域判定域
decision tree:  决策树图决策体系决策图表, 分层次决策决策宗谱判定树判断树
funding decision:  分配资金决策
binary decision:  二元判定, 双值决策双择判决
strategic decision:  战略决策战略性方案
Example Sentences:
1.Decision tree learning for habitat landscape classification
决策树学习方法应用于生境景观分类
2.Application of decision trees learning in
仿真球队中的应用研究
3.In the execution process of data mining , the author reduces the dimensions with the method of neural network learning and produce rule sets with the method of decision tree learning
在实施数据挖掘过程中,根据神经网络和决策树方法各自固有的优点,将神经网络运用于属性的规约,而将决策树用于产生规则模型。
4.Developing from the typical decision tree learning system ids and using the idea of weight sum , we did exploring research on the application of decision tree technology , using weight entropy to get predicted attribute and division value , in crm of tourism industry
在典型的决策树学习系统id3之上,利用“加权和”的思想,在对决策树技术(使用加权熵来获得预测属性和分裂值)在旅游crm中应用上作了探索性研究。
5.With the studying of decision tree , the decision tree learning that only can describe the accurate characters is not adapted to the requirement describing the imprecise knowledge of a system . the world human being belong to and the domains issues within are dynamic . so in the real world , we hope the decision tree is capable of describing the dynamic fuzzy issues
随着决策树归纳学习研究的深入,具有精确描述特征的决策树归纳学习已经不能适应一个系统中不精确的知识表达的要求,同时由于人们所处的世界和问题所在的域都是时刻运动变化的,所以在现实问题中人们更希望决策树能够描述具有动态模糊性的问题。
6.The decision tree learning algorithm is very useful in data mining technique . the id3 algorithm is studied in this thesis , which is the key algorithm of decision tree learning . the improved algorithm of id3 is proposed by introducing user - interest , which resolves the problem of " the big data covers up the fraction " in the decision support process in certain degree
决策树学习算法在数据挖掘技术中具有很重要的作用,本文研究了决策树学习算法中最为重要的一种id3 ( informationdefinition )算法,并引入用户兴趣度的概念定义了id3的改进算法,在一定程度上解决了决策支持过程中大数据掩盖小数据的问题。
Similar Words:
"decision training" Chinese translation, "decision tree" Chinese translation, "decision tree analysis" Chinese translation, "decision tree classifier" Chinese translation, "decision tree diagram" Chinese translation, "decision tree method" Chinese translation, "decision tree structure" Chinese translation, "decision tree system" Chinese translation, "decision trees" Chinese translation, "decision type node" Chinese translation