实现多输出的支持向量机回归，不需要对每一个输出都进行函数回归-Multi-output support vector machine regression，Each output does not need to be a function of the regression

一种多输入多输出支持向量回归机源代码，克服了传统支持向量机单输出的缺点-A multi-input multi-output support vector regression machine source code, to overcome the traditional single-output SVM shortcomings

本程序是基于流型标签的标签学习，很有机器学习参考价值，各位可以参考一下。代码中分享了论文来源。-The algorithm ML^2 includes three main steps. First, it estimates the topological structure the feature space. Then it transfers the topological structure to the label space and constructs the l

dsoid dhdofh ffbfbfv dgdg

（13.1）具有多分段损失函数的多输出支持向量机回归算法(MSVR algorithm with piecewise loss function)： （13.2）MSVR。