关于SVM

1.svm had a clear way of doing capacity control! such as L2 regularization,and different kernel function.

2.how to describ the capacity of svm?

3.an svm with a "narrow" kernel function can always learn the training set perfectly,but its generation error is controlled by the width of the kernel and the sparsity of the dual coefficients.

4.svm 的强对偶对应着数据可分的情况，如果数据不可分那么强对偶不再成立.