Abstract. The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-separable data, working through a non-trivial example in de
用SVM方法制作的分类器1 Training Click “Learning “ from Toolbar or Menu, a dialog will appears like following : You can browse and choose the training sample data file(*.trn), or write the data file’s name into the text editor directly. And write down the tra
