MathematicsComputer Science
Alex Smola, B. Scholkopf
2004.8.1STATISTICS AND COMPUTING
tlooto Summary
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.
Abstract
Abstract is not available.
Citation format
SMOLA, Alex; SCHOLKOPF, B. A tutorial on support vector regression. STATISTICS AND COMPUTING, 2004, 14: 199–222.