1) Multi-field Classification
多域分类
2) multi-field packet classification
多域流分类
3) multiclass classification
多类分类
1.
New perfect performance multiclass classification algorithm based on KFDA;
基于核Fisher判决分析的高性能多类分类算法
2.
Reinforcement support vector machine for multiclass classification
一种处理多类分类问题的强化支持向量机方法
3.
New method of SVM multiclass classification based on DAG
一种新的DAGSVMs多类分类方法
4) multi-class
多类分类
1.
The multi-class SVM has recently been extensively applied in the field of pattern recognition.
目前SVM多类分类方法在模式识别领域得到了广泛使用。
5) multi-category classification
多类分类
1.
In order to extend the advantage of SVM in solving binary classification to multi-category classification, it analyzes the method of combining SVM with the method constructing tree to improve the training efficiency in multi-category classification.
介绍了SVM方法原理,为了将SVM在解决两类分类问题中的优越性推广至解决多类分类问题,分析构建树方法与SVM结合运用来提高SVM在进行多类分类时的训练效率的方法, 然后构造文本自动分类,实验说明该方法有较高的训练效率,并且所需的训练样本量大大降低。
2.
What’s more, this paper gives a specific introduction of the related knowledge of SLT, the principle of SVM and two main types of multi-category classification, that is,“one-against-rest”and“one-against-one”.
然后介绍了统计学习理论相关知识、支持向量机原理以及两种主要的支持向量机多类分类算法,即“一对余类”和“成对分类”。
3.
Three multi-category PSVM classification algorithms based on two-class PSVM are discussed,testified on benchmark datasets,and compared with the standard SVM,the results show that these multi-category classification methods can get satisfactory classification performances.
探讨了3种基于两类PSVM的多类分类方法,在标准数据集上进行了验证,并与标准SVM的结果进行了比较,结论表明3种PSVM多类分类方法能取得较好的分类性能。
6) multi-classification
多类分类
1.
New research on multi-classification based on Support Vector Machines.;
支持向量机多类分类算法新研究
2.
Research on multi-classification based on support vector machine;
基于支持向量机的多类分类研究
3.
The Research on Genetic Programming Techniques for Multi-classification;
基于遗传规划的多类分类技术研究
补充资料：超导电性的局域和非局域理论（localizedandnon-localizedtheoriesofsuperconductivity）
超导电性的局域和非局域理论（localizedandnon-localizedtheoriesofsuperconductivity）
伦敦第二个方程（见“伦敦规范”）表明，在伦敦理论中实际上假定了js(r)是正比于同一位置r的矢势A(r)，而与其他位置的A无牵连；换言之，局域的A(r)可确定该局域的js(r)，反之亦然，即理论具有局域性，所以伦敦理论是一种超导电性的局域理论。若r周围r'位置的A(r')与j(r)有牵连而影响j(r)的改变，则A(r)就为非局域性质的。由于`\nabla\timesbb{A}=\mu_0bb{H}`，所以也可以说磁场强度H是非局域性的。为此，超导电性需由非局域性理论来描绘，称超导电性的非局域理论。皮帕德非局域理论就是典型的超导电性非局域唯象理论。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条