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Proceedings Paper

Evaluation of classifier boosting
Author(s): Edward J. Prokop; David J. Marchette
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Paper Abstract

Boosting is a mechanism that combines a large number of weak classifiers into a single stronger classifier by taking a weighted majority vote. We show that even very simple classifiers can be combined to form a reliable classifier through boosting, even when the individual classifiers themselves are rather poor. We demonstrate these results on several interesting problems including image analysis, chemical weapon detection, and an artificial olfactory device. Some practical aspects are discussed, particularly as related to very large data sets, high dimensional data, and error improvement versus increased computation time.

Paper Details

Date Published: 30 March 2000
PDF: 8 pages
Proc. SPIE 4055, Applications and Science of Computational Intelligence III, (30 March 2000); doi: 10.1117/12.380603
Show Author Affiliations
Edward J. Prokop, Naval Surface Warfare Ctr. (United States)
David J. Marchette, Naval Surface Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 4055:
Applications and Science of Computational Intelligence III
Kevin L. Priddy; Paul E. Keller; David B. Fogel, Editor(s)

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