Generalized LARS as an effective feature selection tool for text classification with SVMs

  • Authors:
  • S. Sathiya Keerthi

  • Affiliations:
  • Yahoo! Research Labs, Pasadena, CA

  • Venue:
  • ICML '05 Proceedings of the 22nd international conference on Machine learning
  • Year:
  • 2005

Quantified Score

Hi-index 0.01

Visualization

Abstract

In this paper we generalize the LARS feature selection method to the linear SVM model, derive an efficient algorithm for it, and empirically demonstrate its usefulness as a feature selection tool for text classification.