As system knowledge, the Part of Speech Transfer-Form can be obtained by inductive learning of training corpus.
然后通过对训练语料的归纳学习，获得作为系统知识的词性转移表。
In the paper, we make a new inductive learning approach to knowledge representation system based on rough set theory.
本文基于粗集理论，针对知识表达系统提出了一种新的归纳学习方法。
The incompleteness of information about objects may be the greatest obstacle to performing inductive learning from examples.
对象信息的不完备性是从实例中归纳学习的最大障碍。
Based on the in-deep research on inductive learning theory, a rule learning algorithm is applied in building the intrusion detection model.
在对归纳学习理论深入研究的基础上，将规则学习算法应用到入侵检测建模中。
The basic topology, knowledge representation and inductive learning of an intelligent expert system on rough sets are introduced in this paper.
文章主要介绍基于粗集方法的智能专家系统的基本构成、知识表达方式及学习推理方法。
Emphasizes questions of inductive learning and inference, and the representation of knowledge.
著重在归纳学习、推断及知识表现的问题探讨。
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。
The approaches adopted by inductive learning of complex structure can be classified into logic-based ones and graph-based ones according to knowledge representation.
复杂结构归纳学习方法按照知识表示方式不同分为基于逻辑的方法与基于数学图的方法。
The continuous attribute problems are often encountered in the real world, but many outstanding inductive learning algorithms are mainly based on a discrete feature space.
实际问题中经常涉及连续的数值属性，然而许多归纳学习算法却是针对离散属性空间的。
A statistical inductive learning approach is proposed to investigate GIS attribute data mining. This approach integrates statistical analysis with attribute oriented induction method.
将统计分析方法和面向属性的归纳方法结合起来，形成了一种应用面比较广的统计归纳学习方法，可以用于GIS属性数据挖掘。
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。
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。
应用推荐