Support Vector Machines OldKiwi - Rhea

Course Topics

This page and its subtopics discusses about Support Vector Machines

Lectures discussing Support Vector Machines: Lecture 11, Lecture 12 and Lecture 13.

Relevant Homework Homework 2_OldKiwi

Useful Links

• Support Vector Machine on Wikipedia

• LIBSVM - A library of SVM software, including both C and Matlab code. Various interfaces through several platforms available as well.

• A Practical Guide to Support Vector Classification: Mainly created for beginners, it quickly explains how to use the libsvm.

• A Tutorial on Support Vector Machines for Pattern Recognition

• Support Vector Machines for 3D Object Recognition

• svms.org:Here is a good webpage containing links to effective Support Vector Machines packages, written in C/C++. Matlab, applicable for binary/multi- calss classifications.

• Purdue link to SVM

• ACM link to SVM

• SVM and Kernel Methods Matlab Toolbox

• SVM - Support Vector Machines Software

• Some SVM sample data

• SVM Matlab Bioinformatics Toolbox

Journal References

• M.A. Aizerman, E.M. Braverman, L.I. Rozoner. Theoretical foundations of the potential function method in pattern recognition learning. Automation and Control, 1964, Vol. 25, pp. 821-837.

• Bernhard E. Boser and Isabelle M. Guyon and Vladimir N. Vapnik. A training algorithm for optimal margin classifiers. COLT '92: Proceedings of the fifth annual workshop on Computational learning theory. 1992. Pittsburgh, PA.