Guodong Su

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
Comparing with traditional statistical modeling methods, support vector machine (SVM) has much advantage for solving regression and classification problems. For nonlinear regression, the kernel function of SVM transforms the nonlinear input space into a high dimensional feature space in which the solution of the problem can be represented as being a linear(More)
  • 1