linear classification中文是什么意思

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中文翻译
造句

线性分类

linear adj. 1.线的，直线的。 2.长度的。 3.【数学】 ...
classification n. 1.选别；分等，分级；分选。 2.【动、植】分类( ...
linear discrimination classification 线性判别分类
classification n. 1.选别；分等，分级；分选。 2.【动、植】分类(法)。〔分类级别为： phylum 【动物；动物学】及 division 【植物；植物学】门，class 纲，order 目，family 科，genus 属，species 种，variety 品种〕。 3.类别；等级；(文件的)保密级。 a classification yard (车站的)调车场。
be linear with 与...成线性关系
linear adj. 1.线的，直线的。 2.长度的。 3.【数学】一次的，线性的。 4.【动、植】线状的；细长的。 5.由线条组成的，以线条为主的，强调线条的。 linear amplification 直线放大。 a linear equation 一次方程式。 a linear leaf 线形叶。 linear arts 线条艺术。
linear a 线形文字a; 线性文字a
no-linear 非线性的
linear linear 线性的
a broad classification 粗略的分类
abbott classification 阿波特分类法
abc classification abc分类法; abc分类管理; 分类管理
account classification 会计科目表; 帐户分类; 帐目分类，会计科目分类
accounting classification 会计分类; 会计科目分类
activity classification 操作分类; 业务活动分类; 作业分类，业务分类
administrative classification 行政管理类别
agency classification 按部门分类
agricultural classification 农艺分类
agroclimatic classification 农业气候分型
air classification 风选; 空气分级; 空气分类; 空气风力分级; 空气风力分离; 气力分选; 气流分级
airflow classification 分流式分选
airmass classification 气团分级; 气团分类
algorithm classification 算法分类
alphabetical classification 字母分类法
angle classification 安格莱分类法; 安氏分类法

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例句与用法

Non - linear classification in many research fields is very difficult . so not only good classified decision but also good method of feature extraction need to be studied
非线性问题是很多学科研究当中经常遇到的困难,不仅要研究较好分类决策,而且要研究较好的特征提取方法。
The quantity of convex hull is as less as possible . this algorithm can be applied to non - linear classification , neural classification algorithm ( including bp and rbf ) and 2d image filling for sample points
该算法的实现,可以应用于非线性分类,神经网络分类学习(包括bp , rbf ) ,以及二维图像散乱点的填充。
Then we go to details of the ideas of compression algorithms based on ifs theory , such as range block search , fixed threshold , adaptive threshold , linear classification , and so on
这些算法包括：全局分块搜索算法、固定门限法、自适应门限法、线性分类法、四分之一块灰度排列法和基于块合并的压缩算法。
Relying on the theorem of graham , the sample points are realized the minimal convex hull which computational complexity is o ( nlogn ) . last a new feature extraction - convex - body segmentation and approximation of scattered sample for non - linear classification based on the knowledge of computing geometry and discrete mathematics is presented . new algorithm guarantees that every convex hull is unintersectant . both convex hull between the same classes and convex hull between the different classes are unintersectant
在此基础上,借助计算几何和离散数学等相关知识,为非线性分类问题中的特征提取提出新的思路-散乱样本凸体分割与逼近算法,算法保证了两类样本形成的凸包两两互不相交,即同类样本之间、同类和异类之间形成的凸包互不相交,并且凸包数量逼近最少,为非线性分类提供了新的研究思路。
Secondly , a measure of a gene set is proposed for evaluating the expression level difference of the genes in the set , which is a combination of the fisher linear classification and the t - statistic method and give a relevance value to every gene in the set as well as to the whole gene set
第二,提出了一个度量基因集合表达差异性的测度fldt ,该测度将fisher线性分类与t - statistic相结合,不但能够给出基因集合整体进行评价,而且同时能够对集合中每个基因的进行评价。

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Last modified time:Mon, 11 Aug 2025 00:29:56 GMT