网络释义专业释义英英释义
相较于其他传统分类器， 如：决策树学习(decision tree learning)、最大熵法(maximum entropy)等，SVM有以下 明显的优点： (1)即使在高维特征向量空间下还是能产生好的效能。
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decision tree inductive learning 决策树归纳学习
multi-concept-learning decision tree algorithm 多概念学习的决策树算法
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决策树 - 引用次数：32
Decision tree learning is one of the widely used and practical methods for inductive inference.
决策树学习是应用最广泛的归纳推理算法之一。
参考来源 - 基于粗糙集理论的决策树预修剪学习算法研究
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Decision tree learning
- abstract: Decision tree learning uses a decision tree as a predictive model which maps observations about an item to conclusions about the item's target value. It is one of the predictive modelling approaches used in statistics, data mining and machine learning.
以上来源于: WordNet
双语例句
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ID3 algorithm is the most basic algorithm in the decision tree learning, and has a wide application.
ID 3算法是最基本的决策树学习算法，有很广的应用。
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And it introduces some algorithms of decision tree learning such as ID3, C4.5 and feature subset selection of Inductive learning.
介绍了归纳学习中的决策树学习算法如id3、C4.5和特征子集选择问题。
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Decision tree learning is one of the widely used and practical methods for inductive inference.
决策树学习是应用最广泛的归纳推理算法之一。
应用推荐