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.
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