ML Anthology

Generalized LARS as an Effective Feature Selection Tool for Text Classification with SVMs

S. Sathiya Keerthi
ICML 2005 pp. 417-424
doi:10.1145/1102351.1102404 /icml/2005/keerthi2005icml-generalized/

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.

PDF ICML Semantic Scholar

Cite

Text

Keerthi. "Generalized LARS as an Effective Feature Selection Tool for Text Classification with SVMs." International Conference on Machine Learning, 2005. doi:10.1145/1102351.1102404

Markdown

[Keerthi. "Generalized LARS as an Effective Feature Selection Tool for Text Classification with SVMs." International Conference on Machine Learning, 2005.](https://mlanthology.org/icml/2005/keerthi2005icml-generalized/) doi:10.1145/1102351.1102404

BibTeX

@inproceedings{keerthi2005icml-generalized,
  title     = {{Generalized LARS as an Effective Feature Selection Tool for Text Classification with SVMs}},
  author    = {Keerthi, S. Sathiya},
  booktitle = {International Conference on Machine Learning},
  year      = {2005},
  pages     = {417-424},
  doi       = {10.1145/1102351.1102404},
  url       = {https://mlanthology.org/icml/2005/keerthi2005icml-generalized/}
}