inductive learning中文,inductive learning的意思,inductive learning翻译及用法

2025-09-07 19:10 浏览次数 7

inductive learning

英[inˈdʌktiv ˈlə:niŋ]美[ɪnˈdʌktɪv ˈlɚnɪŋ]

[计] 归纳学习

inductive learning 例句

英汉例句

  • the compatibility decision-making list inductive learning is an important field in where the rough set theory is used, base on to consistent decision-making list, lodging a new kind of deduce means.

    这种压缩方案就是把每一个测试模式分成固定长度的块,并根据相邻测试模式的对应块是否相容和一位相异进行编码。

  • 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。

  • 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。

  • 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id3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。

  • 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。

  • 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。

  • an inductive learning approach of decision table (dt) with continuous condition attribute values (ccavs) and discrete decision attribute values is proposed in this paper.

    对由连续条件属性值和离散决策属性值组成的决策表,提出了一种归纳学习方法。

  • the need of inductive learning of complex structure grows rapidly recently.

    复杂结构归纳学习的需求近年来快速增长。

  • 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。

  • fuzzy inductive learning algorithm (ila) is presented for fuzzy inductive learning problems.

    据此,本文提出了模糊归纳学习问题的模糊学习算法ila。

  • in relation to consistent decision tables, the paper proposes a new inductive learning method based on the rough set theory.

    本文基于粗糙集理论,针对相容决策表,提出一种新的归纳学习算法。

  • 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。

  • for the job dispatching algorithm, the inductive learning method is used to discuss the production system status oriented rescheduling method.

    而在工件优先调度算法中,利用归纳学习方法,研究了面向生产系统状态的生产作业计划调整方法。

  • 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。

  • in inductive learning approach, how to discretize the sample data can directly affect the creation of the production rules and the recognizing result.

    在归纳式学习方法中,对样本数据的不同分组会直接影响到所生成的反映变量间相互关系的规则,从而影响到对新样本的识别效果。

  • inductive learning based on domain background knowledge;

    基于应用领域背景知识的概念学习;

  • 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。

  • 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。

  • 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。

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