Accurate and reliable diagnosis and classification using probabilistic ensemble simplified fuzzy ARTMAP
In this paper, an accurate and effective probabilistic plurality voting method to combine outputs from multiple simplified fuzzy ARTMAP (SFAM) classifiers is presented. Five ELENA benchmark problems and five medical benchmark data sets have been used to evaluate the applicability and performance of...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
2005
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/5181/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1512043&tag=1 |
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