The choice of the loss function is critical in extreme multi-label learning where the objective is to annotate each data point with the most relevant {\it subset} of labels from an extremely large ...

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Abstract: Expensive constrained multi-objective optimization problems (ECMOPs) present a significant challenge to surrogate-assisted evolutionary algorithms (SAEAs) in effectively balancing ...

Abstract: This paper introduces the notion of switched neural networks for learning multiple functions under different switching configurations. The neural network structure has adjustable parameters ...

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Christmas is coming, and shoppers are on the hunt for budget-friendly gift ideas. One popular destination for families is B&M. The discount chain is stocking a selection of festive gift sets, from ...