多维支持向量机 可以解决小样本情况下的机器学习问题。可以提高泛化性能。可以解决高维问题。可以解决非线性问题。可以避免神经网络结构选择和局部极小点问题。-Multidimensional support vector machine can solve the problem of machine learning small sample case. You can improve the generalization performance. You can solve high-dimensional problems. You can solve nonlinear problems. Avoid neural network structure and　local minimum problems.