z-logo
open-access-imgOpen Access
Generalized LARS as an effective feature selection tool for text classification with SVMs
Author(s) -
S. Sathiya Keerthi
Publication year - 2005
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
ISBN - 1-59593-180-5
DOI - 10.1145/1102351.1102404
Subject(s) - feature selection , support vector machine , computer science , artificial intelligence , selection (genetic algorithm) , pattern recognition (psychology) , machine learning , feature (linguistics) , philosophy , linguistics
In this paper we generalize the LARS featureselection method to the linear SVM model,derive an efficient algorithm for it, and empiricallydemonstrate its usefulness as a featureselection tool for text classification.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom