# How to use SVM to do time series prediction?

I want to know how to use SVM to do time series prediction? what the differences of input vecvtor X of our model between time-series prediction and standard kernelized regression problem？

So, for example if the input vector with N cases is X1...XN, then for predicting some case number n, all the input-response data from X1 through Xn-1 can be used (and are supposed to effect its outcome).