The methods proposed here are not only a new approach of machine learning, but alos a new kind of investigation on inductive decision.
这种研究方法不仅开拓了一条机器学习的新途径，而且也是从数据中推理决策规则的一种新探索。
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。
Induction learning of decision tree based on ID3 algorithm is an important branch of inductive learning now, which can be used to automatic acquisition of knowledge.
基于ID 3算法的决策树归纳学习是归纳学习的一个重要分支，可用于知识的自动获取过程。
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。
Most data mining tools use rule discovery and decision tree technology to extract data patterns and rules; its core is the inductive algorithm.
大部分数据挖掘工具采用规则发现和决策树分类技术来发现数据模式和规则，其核心是归纳算法。
When analyze financial factor, decision tree method on the basis of inductive reasoning means is adopted to analyze the infection of financial factor to loan risk classification.
在财务因素分析上，采用基于归纳推理方法的决策树方法，分析了财务因素对贷款风险分类的影响。
Bayesian decision theory as part of the modern inductive logic has had a great influence on the development of inductive logic.
贝叶斯决策理论是主观贝叶斯派归纳理论的重要组成部分。
Specific topics include color, objects, number, categories, similarity, inductive inference, space, time, causality, reasoning, decision-making, morality and consciousness.
特定的讨论议题包括颜色、物体、数字、类别、相似性、推论、空间、时间、因果关系、问题解决、决策、道德和意识等。
Specific topics include color, objects, categories, similarity, inductive inference, space, time, causality, reasoning, decision-making, morality and consciousness.
特定的研究议题包括颜色、物体、数字、类别、相似性、推论、空间、时间、因果关系、问题解决、决策、道德和意识等。
Specific topics include color, objects, categories, similarity, inductive inference, space, time, causality, reasoning, decision-making, morality and consciousness.
特定的研究议题包括颜色、物体、数字、类别、相似性、推论、空间、时间、因果关系、问题解决、决策、道德和意识等。
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