一种在线SVM的实现，通过样本的取舍，我们可以将SVM运用动态建模当中（得有SVM工具箱的支持），该源码中包含有SVM工具箱和在线SVM的源程序-an online SVM achieved through the choice samples, SVM we will be able to use dynamic modeling them (SVM in a toolbox support) The source code cont

一种在线SVM的实现，通过样本的取舍，我们可以将SVM运用动态建模当中（得有SVM工具箱的支持），该源码中包含有SVM工具箱和在线SVM的源程序-an online SVM achieved through the choice samples, SVM we will be able to use dynamic modeling them (SVM in a toolbox support) The source code cont

用c编译的online svm适合大数据快速学习的分类器，对内存要求较低，适合数据量大的数据。-C compiled with online svm suitable for large data quickly learning classifiers, low memory requirements for large amount of data.