Evaluation of classifier boosting

Edward J. Prokop; David J. Marchette

doi:10.1117/12.380603

30 March 2000 Evaluation of classifier boosting

Edward J. Prokop, David J. Marchette

Proceedings Volume 4055, Applications and Science of Computational Intelligence III; (2000) https://doi.org/10.1117/12.380603
Event: AeroSense 2000, 2000, Orlando, FL, United States

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.

Citation Download Citation

Edward J. Prokop and David J. Marchette "Evaluation of classifier boosting", Proc. SPIE 4055, Applications and Science of Computational Intelligence III, (30 March 2000); https://doi.org/10.1117/12.380603

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available