A tutorial on support vector regression
A tutorial on support vector regression
Alex Smola,B. Scholkopf
2004 · DOI: 10.1023/B:STCO.0000035301.49549.88
Statistics and computing · 12,640 Citations
TLDR
This tutorial gives an overview of the basic ideas underlying Support Vector (SV) machines for function estimation, and includes a summary of currently used algorithms for training SV machines, covering both the quadratic programming part and advanced methods for dealing with large datasets.
