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ICANN
2010
Springer

The Support Feature Machine for Classifying with the Least Number of Features

9 years 15 days ago
The Support Feature Machine for Classifying with the Least Number of Features
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. Key words: Support feature machine, feature selection, zero norm minimisation, classification.
Sascha Klement, Thomas Martinetz
Added 11 Feb 2011
Updated 11 Feb 2011
Type Journal
Year 2010
Where ICANN
Authors Sascha Klement, Thomas Martinetz
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