Prototype selection for composite nearest neighbor classifiers
Combining the predictions of a set of classifiers has been shown to be an effective way to create composite classifiers that are more accurate than any of the component classifiers. Increased accuracy has been shown in a variety of real-world applications, ranging from protein sequence identificatio...
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| Language: | ENG |
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ScholarWorks@UMass Amherst
1997
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| Online Access: | https://scholarworks.umass.edu/dissertations/AAI9737585 |