When traditional support vector machines separate data containing noises, the obtained hyperplane is not an optimal one.
When traditional support vector machines separate data containing noises, the obtained hyperplane is not an optimal one.
使用传统的支持向量机对含有噪声的数据分类时，所得到的超平面往往不是最优超平面。