direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Page Content

Potential - Support Vector Machine (P-SVM)

We offer a first implementation of the new P-SVM algorithm, a software for support vector classification, regression and feature extraction. 

PSVM Documentation [1] - Introduction to P-SVM and software features
PSVM Manual [2] - Detailed description of all included software components and sample files
PSVM SMO Technical Report [3] - Description of the algorithm used within the software
Software License [4] - This software is published under the GNU General Public License

Download, compile and tryout the software version 1.31(beta) (2008-05-25) with samples and documentation files:
psvm.tar.gz [5] - compressed files as tar-file
psvm.zip [6] - same files in zip format

Version 1.3 from 2007-11-19: psvm13.tar.gz [7] -  psvm13.zip [8]

- To take advantage of all functions of the software GNU-Plot is needed.
- One additional dataset ARCENE.zip [9] is referenced in the sample section of the software.
- The SVM implementation libsvm [10] is also referenced in the software, but not required.

Please report bugs and errors to Tilman Knebel. If you use this software in your application, please cite:

Hochreiter, J. and Obermayer, K. (2006). Support Vector Machines for Dyadic Data [11]. Neural Comput., 18, 1472 – 1510.

------ Links: ------

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Copyright TU Berlin 2008