... 一 监督学习1.1 逻辑斯蒂回归(Logistic Regression) 1.2线性支持向量机(Linear SVM) 1.4朴素贝叶斯(高斯似然)(Naive Bayes (Gaussian likelihood)) ...
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Non-linear SVM 非线性支持向量机 ; 非线性支撑矢量机
linear SVM classifier 线性SVM分类器
approximately linear SVM 近似线性SVM
Linear SVM Classification 线性SVM分类
Detailedly deduced the training and decision-making process of SVM from linear SVM to Non-linear SVM and sum the training algorithm.2.
从简单的线性SVM到非线性SVM分类情形详细论述了支持向量机的训练和决策过程,并对训练算法做了总结。
参考来源 - 支持向量机及其在铁路工程中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The result proves that predicting network time-delay by SVM has greater accuracy than by linear prediction algorithm.
结果证明，和线性预测算法相比，采用支持向量机预测网络延时具有较高的正确率。
The principle of finding optimized decision boundary give SVM excellent performance on linear separatable problems.
最优分类超平面原理使SVM在解决线性可分问题时有很好的表现。
The support vector machine (SVM) is a linear classification machine, it is used commonly in the pattern recognition and nonlinear regression.
支持向量机(SVM)是一种线性机器，广泛用于模式分类和非线性回归。
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