This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are supported. Test it by executing example.m with supported data.

利用polynomial order kernel function来秀出SVM执行时可能产生出来的错误并汇图表示-Use of polynomial order kernel function to SVM showed off that may arise out of implementation errors and exchange graph

最小二乘支持向量 MATLAB源码 有说明-The SVM can be seen as a method of training polynomial, radial basis function, or multilayer perception classifiers, in which the weights of the network are found by solving a quadratic programming (QP) problem with linear

本资料包括实验要求文档，报告文档，训练及测试数据，matlab源代码。就给定问题，利用SVM来进行分类。SVM包括hardmargin的线性和非线性内核，softmargin的线性和非线性内核分别来分类以及评估分类准确度-a MATLAB (M-file) program to compute the discriminant functiong for the following SVMs, using the training set provided：A hard-margin SVM