multiclass classification中文是什么意思

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中文翻译
造句

多级分类

multiclass 多类
multiclass traffic assignment 多种用路人交通量指派
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。
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
angles classification 安格尔氏分类法
ao classification 分型
area classification 区域分级
aristotelian classification 亚里士多德分类法
arneth classification 阿内特分类法
artificial classification 人为分类法

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例句与用法

Support vector machines ( svms ) for binary classification have been solved perfectly, but svms for multiclass classification and regressive ability need to be researched and improved further
支持向量机对二类划分问题已解决得非常好，但其对多类划分问题及回归的能力仍有待进一步研究和改善。
As to its application to multiclass classification problems, most of the methods currently used are based on combining many binary svm classifiers to build a multicalss classifier . in this paper, a new method is proposed
就支持向量机在模式识别领域中的多类分类应用而言，目前的算法多采用组合两类支持向量机分类器进行多类分类的方式。
Unlike the method mentioned above, unsupervised single-class svm classifiers instead of supervised binary svm classifiers are used as the basis for multiclass classifier construction and the single class classifiers are combined in three ways to provide a multiclass classification result
本文从另一角度出发，在研究无师学习单类支持向量机的基础上，通过三种不同的方法对其进行组合以构建多类分类器。
The advantage of multistage support vector machine is embodied in three aspects . first, towards the unpredicted areas of other multiclass support vector machines, multistage support vector machine can predict them more correctly; secondly, according to the experimental comparison, the dissertation shows us the high accuracy of its evaluate performance . finally, for a multiclass classification, multistage support vector machine need less support vectors to construct multistage hyperplane than the other three methods, so the multistage support vector has the better generalization
多级支持向量机的优点主要体现在三个方面：一方面，对于其他几种多类支持向量机不能处理的不可测区域，它有了明显的改善；另一方面，本文通过实验比较，指出了多级支持向量机测试准确率高的特点；最后，对于一个多类问题，多级支持向量机在构造多级超平面时需要的支持向量明显少于其余三种多类支持向量机，因此具有更强的泛化能力。

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Last modified time:Fri, 15 Aug 2025 00:29:56 GMT