The Entire Regularization Path for the Support Vector Machine

Abstract

In this paper we argue that the choice of the SVM cost parameter can be critical. We then derive an algorithm that can fit the entire path of SVM solutions for every value of the cost parameter, with essentially the same computational cost as fitting one SVM model. 

3 Figures and Tables

Topics

Statistics

050100'05'07'09'11'13'15'17
Citations per Year

856 Citations

Semantic Scholar estimates that this publication has 856 citations based on the available data.

See our FAQ for additional information.

  • Presentations referencing similar topics