Abstract: The Friedkin-Johnsen (FJ) model describes how agents adjust their opinions through repeated interactions while accounting for the influence of agents who are partially stubborn. In this ...
Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based electroencephalography (EEG) ...
Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. Pete Hegseth gets Navy sailors' reaction to "fat generals ...
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