SVM Starter

Introduction

Support vector machines and kernel methods have proven as powerful tools in numerous applications and have thus gained widespread popularity e.g. in machine learning and bioinformatics. They certainly do not violate the "no free lunch" theorem, i.e. they do not outperform every other technique in each and every pattern recognition application. But used properly they certainly constitute a very handy and powerful tool in the data analysis and pattern recognition toolkit.

This page is intended as an easy access point to this vast field with its own language and conventions. Thus, for the sake of simplicity and clarity it only covers a small and subjective collection of introductory links.

Tutorials/Textbooks

Websites

Patents

  • Note that SVMs are subject to patent coverage. In case of commercial applications you might want to consider patents held e.g. by Health Discovery Corporation

Software

Reviews

Miscellanous Topics

Some Chemometric Applications

Contact

Dr. Juergen von Frese
Data Analysis Solutions
DA-Sol GmbH

Telephone: +49 8143 9977293
Fax: +49 8143 9977294
E-Mail: jvf@da-sol.com