Abstract
We propose the so-called Support Feature Machine (SFM) as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separating hyperplane. Thus, a classifier with inherent feature selection capabilities is obtained within a single training run. Results on toy examples demonstrate that this method is able to identify relevant features very effectively.
Original language | English |
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Title of host publication | Artificial Neural Networks -- ICANN 2010 |
Editors | Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis |
Number of pages | 6 |
Volume | 6353 |
Place of Publication | Berlin, Heidelberg |
Publisher | Springer Berlin Heidelberg |
Publication date | 2010 |
Pages | 88-93 |
ISBN (Print) | 978-3-642-15821-6 |
ISBN (Electronic) | 978-3-642-15822-3 |
DOIs | |
Publication status | Published - 2010 |
Event | 20th International Conference Artificial Neural Networks - Thessaloniki, Greece Duration: 15.09.2010 → 18.09.2010 |