MathematicsComputer Science

Alex Smola, B. Scholkopf

2004.8.1STATISTICS AND COMPUTING

DOI: 10.1023/b:stco.0000035301.49549.88

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.