inductive learning信息详情
[计]归纳学习
inductive───adj.[数]归纳的；[电]感应的；诱导的
inductive deductive───归纳演绎
learning───n.学习；学问；v.学习（learn的现在分词）
inductive method───[数]归纳法；感应电磁勘探法
inductive reasoning───[计][数]归纳推理；归纳法
inductive loads───有感负荷
inductive bias───感应偏压
deductive inductive───演绎归纳法
inductive reactance───[电]感抗；感应电阻
As system knowledge, the Part of Speech Transfer-Form can be obtained by inductive learning of training corpus.───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。
Emphasizes questions of inductive learning and inference, and the representation of knowledge.───重在归纳学习、推断及知识表现的问题探讨。
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。
That introducing this rule to inductive learning is one of innovations in the paper.───将模式类可分性度量准则引入归纳学习是本文的创新之一。
Recommended related back ground of the machine learning, inductive learning, the decision tree study. . . etc. first.───首先介绍了机器学习、归纳学习、决策树学习等方面的相关背景。
Good language learners make notes and categorise language. They also use inductive learning extensively.───善学语言者有记笔记和将所学语言归类的习惯，他们学习时还经常运用归纳式学习方法。
Absrtact: Decision tree algorithm is a classical data mining classification algorithm, it's one of inductive learning based on instances.───摘要：决策树是数据挖掘中的一种分类算法，它是一种以实例为基础的归纳学习算法，来发现数据模式和规则。
Emphasizes questions of inductive learning and inference, and the representation of knowledge.───着重在归纳学习、推断及知识表现的问题探讨。
This paper is mainly about discretization for inductive learning from continuous sample data.───主要研究的是归纳式学习中连续型样本数据的分组问题。
Emphasizes questions of inductive learning and inference, and the representation of knowledge.
We will emphasize questions of inductive learning and inference and the representation of knowledge.
The incompleteness of information about objects may be the greatest obstacle to performing inductive learning from examples.
For the job dispatching algorithm, the inductive learning method is used to discuss the production system status oriented rescheduling method.
Good language learners make notes and categorise language. They also use inductive learning extensively.
In the paper, we make a new inductive learning approach to knowledge representation system based on rough set theory.