Improved coral reefs optimization with adaptive β-hill climbing for feature selection
For any classification problem, the dimension of the feature vector used for classification has great importance. This is because, in a high-dimensional feature vector, it is found that some are non-informative or even redundant as they do not contribute to the learning process of the classifier. Ra...
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Veröffentlicht in: | Neural computing & applications 2021-06, Vol.33 (12), p.6467-6486 |
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