SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike regula

SVM向量机用于目标分类的代码，代码很简单，可以运行，适合新手-The code for the target vector machine SVM classification code is very simple, it can run for novice