Abstract: In recent years, lots of many-objective evolutionary algorithms have been proposed. However, as the number of objectives increases, most of them still cannot maintain a good balance between ...
Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
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