...业；惩罚参数 [gap=994]ords:customer churn; support vector classifier(SVC); telecommunication industry; penalty parameter ...
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Based on the model, the author discusses the kernel function choice and the penalty parameter C determination through the examples of multi-category classification in SVM, confirms the conclusions by the experiments.
在该模型的基础上，并以系统中的多类分类为例，探讨了SVM的核函数选择以及惩罚参数C的确定，并结合实验加以验证。
参考来源 - SVM在文本分类中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
研究了支持向量机参数(核函数、惩罚因子c)和影像特征维数对航空影像分割与分类的影响。
This paper researches the parameters (kernel, penalty parameter c) of SVM and the dimension of feature, which influence aerial image segmentation and classification.
核函数参数和误差惩罚因子的选择对支持向量机模型（SVM）的精度有较大影响。
The selection of the kernel function parameter and error penalty factor affected the precision of the support vector machine (SVM) significantly.
本文利用完全线性化方法处理非线性目标函数，用惩罚函数法对拟合参数约束。
In this paper, the non-linear objective function is treated by means of the complete linearization method and the fitting parameters are restricted by using the punished function.
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