Optimization of support vector machine hyperparameters using radius/margin bound

Stanisław Jankowski; Wojciech Sadurski

doi:10.1117/12.2002318

15 October 2012 Optimization of support vector machine hyperparameters using radius/margin bound

Stanisław Jankowski, Wojciech Sadurski

Proceedings Volume 8454, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012; 845423 (2012) https://doi.org/10.1117/12.2002318
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012, 2012, Wilga, Poland

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.

Citation Download Citation

Stanisław Jankowski and Wojciech Sadurski "Optimization of support vector machine hyperparameters using radius/margin bound", Proc. SPIE 8454, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012, 845423 (15 October 2012); https://doi.org/10.1117/12.2002318

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