information gain中文,information gain的意思,information gain翻译及用法

2025-09-07 19:22 浏览次数 6

information gain

英[ˌɪnfəˈmeiʃən ɡein]美[ˌɪnfɚˈmeʃən ɡen]

[计][图情] 信息增益;情报增益

information gain 片语

片语

Expected Information Gain期望信息增益

Fisher new information gain费歇信息增量

revised information gain修正增益

Information Gain RatioInformation gain ratio is between 0 and 1, cf. ordinary information gain

Meaning Information Gain意义信息增益

information pull gain信息推送

information gain model信息获得模型

joint information gain联合信息增量

information gain analysis信息增益分析

information gain 例句

英汉例句

  • an optimizing algorithm based on information gain is put forward for multisensor detection and classification of multitargets.

    基于信息增量提出了一种多传感器对多目标检测与分类的优化算法。

  • id3 use category information gain (cig) as selection level, through converse thought, author come up with attribute information gain (aig) as selection level.

    id 3使用类别信息增益(cig)作为选择属性的标準,而作者在逆向思维的基础上提出了使用属性信息增益(aig)来选择属性。

  • information gain is one of the most effective feature selections, but its computation is too huge.

    信息增益是最有效的特征选择算法之一,但计算量大。

  • but in structurized data information gain aspect, it「s not been able to meet the vertical search engine」s needs.

    但它在结构化数据信息的获取方面,还不能满足垂直搜索引擎的需要。

  • information gain is the measurement of the attributes selection in classical decision tree algorithm-id3, but the attributes with high information gain is not always the valuable attributes.

    传统的id3决策树算法以信息增益作为属性选择的準则值,但是信息增益大的属性并不一定就是有价值的属性。

  • this paper proposes a new future selection algorithm based on information gain and chi-square test.

    本文提出了一个基于信息增益和卡方检验的属性选择算法。

  • this paper has proposed a new attribute selection algorithm, namely the algorithm is based on information gain and support vector machine recursive feature elimination(svm-rfe).

    该文提出了一种新的属性选择的算法,即基于信息增益和支持向量机递归属性消除的属性选择算法。

  • in this paper, according to nayve bayesian model (nbm) assumption, a feature selection method based on information gain is proposed to improve nbm.

    该文根据贝叶斯假设提出基于信息增益的特征选择方法,并以此改进贝叶斯模型。

  • this paper adopts a filtering tactic which uses candidate mapping tactic and information gain tactic to reduce the amount of concepts and attribute waiting for computing.

    该文采用过滤策略,利用候选映射策略和信息增益策略减少待映射概念和待计算属性数量。

  • firstly, some basic algorithms for inducing decision tree are discussed, including id3, which uses information gain to select a splitting attribute when partitioning a training set;

    文中详细阐述了几种极具代表性的决策树算法:包括使用信息熵原理分割样本集的id3算法;

  • based on the theories of decision tree, this paper gets the importance assessment value among attributes through applying information gain and constructing formula.

    在决策树理论的指导下,通过信息增益的应用和公式的构造获取属性重要程度评价值,结合决策树挖掘得到个人住房贷款风险评估模型。

  • to the problem of network level sensor management, a centralized network multi-platform sensor management algorithm based on joint information gain is proposed.

    针对网络级传感器管理问题,提出一种基于联合信息增量的集中式网络多平台传感器管理算法。

  • aiming at the preceding problem, this paper puts forward a feature selection method using information gain (ig) and principle component (analysis) (pca).

    针对上述问题,提出了信息增益(ig)与主成分分析(pca)相结合的特征选择方法。

  • modern information technology development, specially computer impetus, the people are more and more quick to the information gain and processing, this individual now people's aspects.

    现代信息技术的发展,特别是电脑的推动,人们对信息的获取和处理越来越快,这个体现在人们的方方面面。

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