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Official implementation of "IKSVM-DC: Indefinite Kernel SVM with Difference of Convex Functions Programming" (AAAI2017)

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IKSVM-DC

Introduction

This package implements a novel indefinite kernel SVM algorithm named IKSVM-DC. The algorithm IKSVM-DC is specially designed for the primal form of indefinite kernel SVM problem. Further details about IKSVM-DC can be found in the following paper:

Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming
H.-M. Xu, H. Xue, X.-H. Chen, Y.-Y. Wang
In AAAI'17

Requirements

  • Matlab, version 2014a and higher.
  • The package is mostly self-contain. Several functions require the Optimization Toolbox, e.g., CVX toolbox or Mosek toolbox.

Installation

  • Create a directory of your choice and copy the toolbox there.
  • Set the path in your Matlab to add the directory you just created.

How to start?

To help you start working with indefinite kernel SVM, we provide a demo(See demo.m) in this package. You can follow the procedure as described in the demo.

Copyright

This package can be used freely for academic, non-profit purposes. If you intend to use it for commercial development, please contact us. Please feel free to contact us if you find anything wrong or you have any further questions.

Please read and play with the demo to get started.

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Official implementation of "IKSVM-DC: Indefinite Kernel SVM with Difference of Convex Functions Programming" (AAAI2017)

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