If the training data are linearly separable, we can select these hyperplanes so that there are no points between them and then try to maximize their distance.

• 若训练资料是可线性切割的，那就可以找到这样两个超平面使得它们之间没有点(支援向量)并试著最大化他们(之间)的距离。