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Classifiers selection for ensemble learning based on accuracy and diversity

✍ Scribed by Liying Yang


Book ID
119354364
Publisher
Elsevier
Year
2011
Tongue
English
Weight
293 KB
Volume
15
Category
Article
ISSN
1877-7058

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One of the most important steps in the design of a multi-classifier system (MCS), also known as ensemble, is the choice of the components (classifiers). This step is very important to the overall performance of a MCS since the combination of a set of identical classifiers will not outperform the ind