By the method of learning from examples, DKAS inductively acquires knowledge, in representation of decision trees, from large amount of experience data.
DKAS系统采用示例式学习方法，从大量经验数据归纳获取知识，知识表示为决策树形式。
Discusses the classification and regression trees method, introduces its application in developing universities 'science research decision support system.
讨论了分类回归树方法，并介绍了它在开发高校科研决策支持系统中的应用。
Decision trees are used to solve this problem, and at the same time, a method to create visual question set is introduced based on the similarity of mouth shapes.
本文使用决策树状态捆绑方法来缓解这一问题，同时引入了一种以口形相似度为基础的决策树视频问题设计方法。
Decision trees are used to solve this problem, and at the same time, a method to create visual question set is introduced based on the similarities of mouth shapes.
本文使用决策树状态捆绑方法来缓解这一问题，同时引入了一种以口形相似度为基础的决策树视频问题设计方法。
Based on thought of multiple classifiers combination method, this paper proposes a combination classification method of multiple decision trees based on PSO Algorithm.
针对数据挖掘中的分类问题，依据组合分类方法的思想，提出一种基于遗传算法的多重决策树组合分类方法。
The Repository Method starts where genetic programming ends: decision trees produced by EDDIE can be further processed to improve their performance.
遗传规则的结束标志着智能算法的开始：从EDDIE得到的决策图标能进一步证明遗传规则的作用。
Real biological data experiments have shown that this classification method outperformed than single neural networks, 1-nearest-neighbor classifiers and decision trees.
实际的生物学数据实验表明该方法性能优于单个神经网络，最近邻法和决策树。
Real biological data experiments have shown that this classification method outperformed than single neural networks, 1-nearest-neighbor classifiers and decision trees.
实际的生物学数据实验表明该方法性能优于单个神经网络，最近邻法和决策树。
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