...建模的实时性和运算速度,本文首次从在特征空间复制训练样本的角度证明了SVR和支持向量分类(Support Vector Classification, SVC)的等价性问题,部分消除了SVC和SVR训练算法的差异,将简洁快速的几何训练算法推广用于SVR训练,有...
基于2个网页-相关网页
支持向量分类机 support vector classifier ; Support Vector Classification
等距支持向量分类器 EDSVC
乘支持向量分类器 LSSVC
支持向量分类器 support vector classifier
参数支持向量分类机 v- Support Vector Classifier
支持向量机分类器 support vector machine classifier ; Support Vector Machine
支持向量域分类器 SVDC ; Support Vector Domain Classifier
支持向量机分类 Support Vector Classification ; SVC
并且分别详尽的阐述了支持向量分类和支持向量回归的理论思想、计算步骤和优化算法。
It also elaborates the ideas, counting steps and optimize algorithm of support vector classification and regression.
大部分数字识别的工作可以由神经网络来完成,但最近支持向量机也被证明可以在分类方面做得更好。
Much of the work on digit recognition has been done in the neural network community, but more recently support vector machines have proven to be even better classifiers.
在此基础上,研究了用球结构支持向量机作分类器,对滚动轴承内圈故障的劣化程度进行识别的理论和方法。
Basing on these, study theory and method of using Sphere-structured Support Vector Machines to recognize the roll bearing inside track's fault deterioration extent.
应用推荐