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 learning arithmetc 关联规则
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
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·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
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。
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。
We'll discuss validation sets when we look at decision trees because they are a common optimization for decision tree learning.
当我们在后面具体提及决策树时，将会进一步讨论验证集，因为它通常是决策树学习的最优选择。
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