Abstract: Bayesian optimization (BO) struggles with data scarcity and poor scalability in high-dimensional expensive many-objective optimization problems (HEMaOPs). To address this, we propose a novel ...
If it feels like AI is developing too fast to keep up with, a group of Chinese researchers have some bad news – because ...
Abstract: The dendritic neuron model (DNM), inspired by the architecture of biological neurons and renowned for its superior nonlinear information processing capability, presents a promising ...
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