A tutorial on support vector regression.Statistics and Computing,2004

Alex Smola et al.A tutorial on support vector regression.Statistics and Computing,2004 In this tutorial we give an overview of the basic ideas underlying Support Vector (SV) machines for function estimation. Furthermore, we include a summary of currently used algorithms for training SV machines, covering both the quadratic (or convex) programming part and advanced methods for dealing with large datasets. Finally, we mention some modifications and extensions that have been applied to the standard SV algorithm, and discuss the asp ect of regularization from a SV perspective. ect of regularization from a SV perspective.