Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Pro…
Evolutionary sequential transfer optimization is a paradigm that leverages search experience from solved source optimization tasks to accelerate the evolutionary search of a target task. Even thoug…
Learnable Weighting of Intra-Attribute Distances for Categorical Data Cluster…
The success of categorical data clustering generally much relies on the distance metric that measures the dissimilarity degree between two objects. However, most of the existing clustering methods …
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