Share Email Print
cover

Proceedings Paper

Optimization of support vector machine hyperparameters using radius/margin bound
Author(s): Stanisław Jankowski; Wojciech Sadurski
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The paper presents the method of tuning the support vector machine hyperparameters by minimizing an estimate of the leave-one-out error known as radius/margin bound. The quality of the method, in terms of classification accuracy and generalization rate was tested against an exhaustive grid-search in hyperparameter space using a 2- dimensional Banana dataset.

Paper Details

Date Published: 15 October 2012
PDF: 8 pages
Proc. SPIE 8454, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012, 845423 (15 October 2012); doi: 10.1117/12.2002318
Show Author Affiliations
Stanisław Jankowski, Warsaw Univ. of Technology (Poland)
Wojciech Sadurski, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 8454:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012
Ryszard S. Romaniuk, Editor(s)

© SPIE. Terms of Use
Back to Top